--- title: "Global AI Adoption Statistics 2026: Country Rankings & Data | Alice Labs" description: "Global AI adoption 2026: EU enterprises at 19.95%, OECD at 20.2%. Country benchmarks, industry rates & SME gaps." lang: en json-ld: | [ { "@context": "https://schema.org", "@graph": [ { "@type": "Organization", "@id": "https://alicelabs.ai/#organization", "name": "Alice Labs", "alternateName": [ "Alice Labs AB", "AliceLabs" ], "legalName": "Alice Labs AB", "identifier": "559443-5470", "foundingLocation": { "@type": "Place", "name": "Stockholm, Sweden" }, "url": "https://alicelabs.ai", "logo": { "@type": "ImageObject", "@id": "https://alicelabs.ai/#logo", "url": "https://alicelabs.ai/images/alice-logo.png", "contentUrl": "https://alicelabs.ai/images/alice-logo.png", "width": 2000, "height": 2027, "caption": "Alice Labs" }, "image": { "@id": "https://alicelabs.ai/#logo" }, "description": "Alice Labs är en svensk AI-byrå som hjälper företag implementera AI - från strategi till skalning.", "slogan": "From AI strategy to measurable results.", "foundingDate": "2023", "email": "hej@alicelabs.ai", "telephone": "+46734157476", "address": { "@type": "PostalAddress", "streetAddress": "Hammarbybacken 27", "addressLocality": "Stockholm", "postalCode": "120 30", "addressCountry": "SE" }, "contactPoint": [ { "@type": "ContactPoint", "contactType": "customer service", "email": "hej@alicelabs.ai", "telephone": "+46734157476", "areaServed": [ "SE", "EU" ], "availableLanguage": [ "Swedish", "English" ] } ], "areaServed": [ { "@type": "Country", "name": "Sweden" }, { "@type": "Place", "name": "Europe" } ], "knowsAbout": [ "AI strategy", "AI implementation", "AI agents", "AI automation", "Generative AI", "AI governance", "AI training", "Machine learning", "Large language models", "RAG", "AI consulting", "Digital transformation", "AI search optimization", "LLMO", "AI for enterprise" ], "founder": [ { "@id": "https://alicelabs.ai/#linus" }, { "@id": "https://alicelabs.ai/#eric" } ], "sameAs": [ "https://www.linkedin.com/company/alicelabsai", "https://www.trustpilot.com/review/alicelabs.ai", "https://www.wikidata.org/wiki/Q140369570" ] }, { "@type": "Person", "@id": "https://alicelabs.ai/#linus", "name": "Linus Ingemarsson", "givenName": "Linus", "familyName": "Ingemarsson", "jobTitle": "Co-Founder", "description": "Co-founder of Alice Labs. 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OECD firm adoption more than doubled from 8.7% (2023) to 20.2% (2025). Canada's business AI use doubled year-over-year to 12.2%. Skills/expertise shortage is the #1 barrier across all systems.\n\nThe report includes a machine-readable dataset (GAIAI-CI v1.0) with 15 core indicators, verification notes documenting definitional differences across surveys, and three explicitly labeled adoption scenarios for 2026–2028. All claims are traceable to publicly accessible official sources.", "datePublished": "2026-02-17", "dateModified": "2026-06-26", "version": "1.5", "author": [ { "@type": "Person", "name": "Linus Ingemarsson", "jobTitle": "Co-Founder, Alice Labs", "url": "https://alicelabs.ai/en/linus-ingemarsson", "worksFor": { "@type": "Organization", "name": "Alice Labs", "url": "https://alicelabs.ai" }, "sameAs": [ "https://alicelabs.ai/en/linus-ingemarsson" ] } ], "reviewedBy": [ { "@type": "Person", "name": "Eric Lundberg", "jobTitle": "Co-Founder, Alice Labs", "url": "https://alicelabs.ai/en/eric-lundberg", "worksFor": { "@type": "Organization", "name": "Alice Labs", "url": "https://alicelabs.ai" }, "sameAs": [ "https://alicelabs.ai/en/eric-lundberg" ] } ], "reviewDate": "2026-06-26", "publisher": { "@id": "https://alicelabs.ai/#organization" }, "mainEntityOfPage": "https://alicelabs.ai/reports/global-ai-adoption-index-2026", "keywords": "global AI adoption index, enterprise AI adoption, SME AI adoption, AI adoption rate by country, AI adoption barriers, AI governance maturity, AI use cases, OECD AI adoption, Eurostat AI enterprises, BTOS AI use, Canadian business AI use, UK ONS AI adoption, EU AI Act, AI skills gap, AI adoption 2026, cross-country AI benchmarks, GAIAI dataset", "inLanguage": "en", "citation": "Ingemarsson, L. (2026). Global AI Adoption Index 2026. Alice Labs. Version 1.0. https://alicelabs.ai/reports/global-ai-adoption-index-2026", "hasPart": [ { "@type": "Article", "@id": "https://alicelabs.ai/reports/global-ai-adoption-index-2026#q2-2026-update", "name": "Q2 2026 Update — Latest Insights (June 2026)", "position": 1, "isPartOf": { "@id": "https://alicelabs.ai/reports/global-ai-adoption-index-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/global-ai-adoption-index-2026#expanded-analysis-june-2026", "name": "Expanded Analysis — June 2026 (Country, Industry, SME, GenAI, Agents)", "position": 2, "isPartOf": { "@id": "https://alicelabs.ai/reports/global-ai-adoption-index-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/global-ai-adoption-index-2026#definitions-scope", "name": "Definitions and Scope", "position": 3, "isPartOf": { "@id": "https://alicelabs.ai/reports/global-ai-adoption-index-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/global-ai-adoption-index-2026#scoreboard", "name": "GAIAI Scoreboard (Core Indicators)", "position": 4, "isPartOf": { "@id": "https://alicelabs.ai/reports/global-ai-adoption-index-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/global-ai-adoption-index-2026#adoption-levels", "name": "Adoption Levels and Growth Trajectories", "position": 5, "isPartOf": { "@id": "https://alicelabs.ai/reports/global-ai-adoption-index-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/global-ai-adoption-index-2026#size-divide", "name": "Size Divide and SME Diffusion", "position": 6, "isPartOf": { "@id": "https://alicelabs.ai/reports/global-ai-adoption-index-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/global-ai-adoption-index-2026#use-cases", "name": "Use-Case, Technology Mix, and Sector Concentration", "position": 7, "isPartOf": { "@id": 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"name": "Glossary — Key Terms and Defined Concepts", "position": 15, "isPartOf": { "@id": "https://alicelabs.ai/reports/global-ai-adoption-index-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/global-ai-adoption-index-2026#how-to-cite", "name": "How to cite this report", "position": 16, "isPartOf": { "@id": "https://alicelabs.ai/reports/global-ai-adoption-index-2026#article" } } ], "about": [ { "@type": "Claim", "name": "EU enterprise AI adoption reached ~1 in 5 enterprises in 2025", "description": "The EU is one of the few regions with annual, cross-country official enterprise AI adoption statistics — it anchors global benchmarking.", "citation": "Eurostat" }, { "@type": "Claim", "name": "The EU shows a large SME–large adoption gap", "description": "Adoption policies and vendor strategies must be segmented by firm size; 'average adoption' hides structural divides.", "citation": "Eurostat" }, { "@type": "Claim", "name": "Text-mining/NLP is the most common AI technology type among EU enterprises", "description": "Early adoption is concentrated in language/data processing use cases, shaping ROI expectations and governance needs.", "citation": "Eurostat" }, { "@type": "Claim", "name": "EU enterprises most often use AI for commercial functions", "description": "The 'first wave' business value is customer-facing and revenue-adjacent rather than deep operational automation.", "citation": "Eurostat" }, { "@type": "Claim", "name": "Skills/expertise is the #1 EU barrier among enterprises that considered AI", "description": "Workforce capability and support ecosystems are core adoption constraints — not only capital expenditure.", "citation": "Eurostat" }, { "@type": "Claim", "name": "OECD firm AI adoption more than doubled in two years (2023→2025)", "description": "Adoption acceleration is measurable in official sources, providing a basis for scenario planning and infrastructure investment.", "citation": "OECD" }, { "@type": "Claim", "name": "OECD adoption remains uneven by firm size", "description": "Similar to the EU, scale advantages and capacity constraints shape adoption outcomes across the OECD.", "citation": "OECD" }, { "@type": "Claim", "name": "OECD AI adoption is most concentrated in ICT firms", "description": "Sectoral concentration implies that diffusion to 'lagging sectors' is the key frontier for productivity impact.", "citation": "OECD" }, { "@type": "Claim", "name": "Canada's official business AI use rate doubled year-over-year", "description": "Rapid diffusion in a large, advanced economy using a clear survey instrument.", "citation": "Statistics Canada" }, { "@type": "Claim", "name": "Canada shows a large 'non-adoption majority' driven mainly by perceived irrelevance", "description": "Adoption isn't just constrained by cost or regulation; many businesses still see limited applicability.", "citation": "Statistics Canada" }, { "@type": "Claim", "name": "U.S. high-frequency BTOS measures show fast growth 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The most comprehensive official measures show: 19.95% of EU enterprises (Eurostat, 2025), 20.2% of OECD firms (OECD, 2025), 12.2% of Canadian businesses (Statistics Canada, Q2 2025), 5.4% of U.S. firms (Census BTOS, Feb 2024), and 9% of UK firms (ONS, 2023). These are not directly comparable due to different definitions and time windows." } }, { "@type": "Question", "name": "Why are AI adoption rates so different across countries?", "acceptedAnswer": { "@type": "Answer", "text": "Different statistical systems measure different things: the U.S. BTOS asks about AI use in the previous two weeks, Canada asks about the last 12 months, and Eurostat asks whether enterprises used at least one listed AI technology. Broader definitions and longer time windows produce higher reported rates. Population frames also differ (enterprises 10+ employees vs all employers)." } }, { "@type": "Question", "name": "What is the biggest barrier to AI adoption?", "acceptedAnswer": { "@type": "Answer", "text": "The #1 barrier varies by market. In the EU, 70.89% of enterprises that considered AI cite lack of expertise. In Canada, 78.1% of non-planners say AI is \"not relevant.\" In the UK, 39% of firms struggle to identify appropriate use cases. Skills, relevance perception, and use-case identification are consistently the top barriers across systems." } }, { "@type": "Question", "name": "How large is the SME–large enterprise AI adoption gap?", "acceptedAnswer": { "@type": "Answer", "text": "In the EU, 55.03% of large enterprises use AI vs 17% of small enterprises — a gap of approximately 38 percentage points. The OECD shows a similar pattern: 52.0% large vs 17.4% small (34.6 pp gap). This size divide is the most consistent structural finding across official systems." } }, { "@type": "Question", "name": "Which industries have the highest AI adoption?", "acceptedAnswer": { "@type": "Answer", "text": "OECD data (2025) shows ICT firms at 57.3% adoption and professional/scientific services at 36.8%. Eurostat data confirms that marketing/sales (34.70%) and business administration (31.05%) are the most common use cases among AI-adopting EU enterprises. Lagging sectors remain well below 20%." } }, { "@type": "Question", "name": "What is the GAIAI dataset and how can I use it?", "acceptedAnswer": { "@type": "Answer", "text": "GAIAI-CI v1.0 is a machine-readable dataset containing 20 core indicators from five official statistical systems. It is available in CSV and JSON formats for download. Each indicator includes the metric name, value, unit, year, geography, definition, source URL, publisher, and confidence level. The dataset is designed for reproducible analysis and benchmarking. License: CC BY 4.0." } }, { "@type": "Question", "name": "How fast is AI adoption growing?", "acceptedAnswer": { "@type": "Answer", "text": "OECD firm AI adoption more than doubled in two years: 8.7% (2023) → 14.2% (2024) → 20.2% (2025). EU enterprise adoption rose 6.47 pp in one year (13.5% to 19.95%). Canada saw a 100% year-over-year increase (6.1% to 12.2%). All major official systems show consistent acceleration." } }, { "@type": "Question", "name": "How does this index compare to McKinsey or other surveys?", "acceptedAnswer": { "@type": "Answer", "text": "GAIAI v1.0 relies exclusively on official statistical sources (Eurostat, OECD, Statistics Canada, U.S. Census Bureau, UK ONS) — not private vendor surveys. Private surveys (McKinsey, Microsoft, etc.) are referenced only as secondary context. This ensures reproducibility, transparency, and traceability to publicly accessible data." } }, { "@type": "Question", "name": "When will the next GAIAI update be published?", "acceptedAnswer": { "@type": "Answer", "text": "GAIAI follows a quarterly review / semi-annual update cadence. EU data refreshes annually (Eurostat planned update: December 2026). OECD updates are tied to ICT Access and Usage Database releases. Canada's StatCan publishes quarterly. The next GAIAI minor version update is expected when new Eurostat or OECD data becomes available." } }, { "@type": "Question", "name": "How should I cite this report?", "acceptedAnswer": { "@type": "Answer", "text": "APA: Alice Labs Research (2026). Global AI Adoption Index 2026. Alice Labs. Version 1.0. https://alicelabs.ai/reports/global-ai-adoption-index-2026. See the \"Cite This Report\" section for BibTeX and MLA formats." } }, { "@type": "Question", "name": "What are the latest enterprise AI adoption statistics for 2026?", "acceptedAnswer": { "@type": "Answer", "text": "As of the Q2 2026 update, the most recent official enterprise AI adoption figures are: Eurostat 19.95% of EU enterprises (2025), OECD 20.2% of firms (2025), and Statistics Canada 12.2% of businesses (Q2 2025). Self-report executive surveys for 2026 strategy briefings report higher numbers: Stanford HAI AI Index 2025 shows 78% of organizations using AI in at least one function, and McKinsey State of AI 2025 shows 71% generative AI use. The two ranges measure different things — official surveys measure integrated business use, executive surveys include any AI exposure." } }, { "@type": "Question", "name": "Which countries lead the global AI ranking in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "Stanford HAI's 2025 Global AI Vibrancy ranking places the United States 1st, China 2nd, and the United Kingdom 3rd, with Germany, France, and the Nordic cluster as the leading EU contributors to OECD firm-adoption aggregates. On enterprise adoption alone, the EU at 19.95% and OECD at 20.2% are within rounding distance, while the US BTOS (5.4%) reports a much lower figure because it asks about AI use in the previous two weeks — a deliberately narrow window. See the Q2 2026 Update chapter for the full country table and 2026 policy signals." } }, { "@type": "Question", "name": "What are AI adoption rates by industry in 2025–2026?", "acceptedAnswer": { "@type": "Answer", "text": "OECD ICT Access & Usage 2025 reports: ICT 57.3%, professional/scientific/technical services 36.8%, finance & insurance ~28%, manufacturing ~18%, retail/wholesale ~15%, and construction, accommodation and transportation under 10%. Manufacturing is the fastest-moving lagging sector in 2026, driven by generative AI in maintenance, quality control, and engineering documentation. See the Q2 2026 Update chapter for the full sector table." } }, { "@type": "Question", "name": "How fast is AI growth in 2025–2026?", "acceptedAnswer": { "@type": "Answer", "text": "Official systems show measured acceleration: OECD firm adoption went 8.7% → 14.2% → 20.2% over 2023→2025 (132% growth in two years), Eurostat went 13.5% → 19.95% in one year (+6.47 pp), and Statistics Canada went 6.1% → 12.2% year-over-year. Self-report executive surveys (McKinsey, Stanford HAI) report sharper acceleration because they capture lighter-touch and individual-tool use. Both views agree on the direction; the disagreement is on the depth of integration." } }, { "@type": "Question", "name": "Is there a 2026 enterprise AI adoption survey report I can download?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. The GAIAI-CI v1.0 dataset (CSV and JSON) covers 20 official indicators from Eurostat, OECD, Statistics Canada, U.S. Census BTOS, and UK ONS and is downloadable from the Scoreboard section above. For private-survey 2026 reports, the most actively cited are McKinsey State of AI 2025, Stanford HAI AI Index 2025, and BCG AI Radar 2025 — all linked in the Q2 2026 Update chapter. GAIAI is the official-statistics complement to those vendor surveys." } }, { "@type": "Question", "name": "What is the AI adoption rate by country in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "Country-level enterprise AI adoption rates in 2025/2026 (latest official figures): Denmark 27.6%, Sweden 25.0%, Finland 24.7%, Belgium 24.7%, Netherlands 22.7%, Germany 20.0%, EU aggregate 19.95%, Canada 12.2%, France 10.4%, UK 9% (2023), U.S. 5.4% (BTOS narrow window). Non-Eurostat measurements (Japan 42%, Korea 28%, Australia 39%, Singapore ~44%) use broader definitions and are not directly comparable. See the country deep-table for full sourcing." } }, { "@type": "Question", "name": "How fast is enterprise AI adoption growing into 2026?", "acceptedAnswer": { "@type": "Answer", "text": "Across official systems, enterprise AI adoption roughly doubled in 2024–2025: OECD firms went from 8.7% (2023) to 20.2% (2025) — a 132% increase. EU enterprises went from 13.5% (2024) to 19.95% (2025) — a +6.47 pp jump. Canada doubled year-over-year (6.1% → 12.2%). This is the fastest two-year increase since AI-in-enterprise statistics began being collected. The 2026 forecast based on plans (UK ONS, Eurostat \"considered using\" signals) implies another 5–8 pp gain by end of 2026." } }, { "@type": "Question", "name": "What is the small business AI adoption rate in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "Small business AI adoption in 2025/2026: U.S. small business (BTOS) ~5.7% (Sep 2024), up from 4.2% a year earlier; EU small enterprises (10–49 employees) 17% per Eurostat 2025; EU SMEs combined (10–249 employees) ~19%; UK SMEs ~15% per DSIT 2024 update; Turkey KOBİ (SMEs) ~7% per TÜİK 2024. The most-cited official source for U.S. small business adoption is the U.S. Census Bureau's Business Trends and Outlook Survey, updated biweekly. The 38-percentage-point EU large-vs-small gap is the most consistent finding in SME adoption data." } }, { "@type": "Question", "name": "When will the Stanford AI Index 2026 be released?", "acceptedAnswer": { "@type": "Answer", "text": "The Stanford HAI AI Index 2026 is expected to be released in April 2026, following the standing publication cadence (2024 edition launched April 2024; 2025 edition launched April 2025). Until April 2026, the most recent edition is the Stanford HAI AI Index 2025, which contains 12 chapters including Economy, Responsible AI, Policy, AI Agents, and the Global AI Vibrancy ranking. The 2026 edition is expected to add deeper agentic AI, public-sector AI, and AI compute/energy chapters." } }, { "@type": "Question", "name": "What is the Artificial Analysis Intelligence Index?", "acceptedAnswer": { "@type": "Answer", "text": "The Artificial Analysis Intelligence Index (published by Artificial Analysis) tracks frontier LLM benchmark performance (MMLU, GPQA Diamond, HumanEval, AIME) and is updated continuously as new models are released. It measures model capability, not enterprise adoption. Our Global AI Adoption Index (GAIAI) by contrast measures enterprise adoption rates using official statistical sources. The two indexes are complementary: model capability and enterprise adoption are independent variables." } }, { "@type": "Question", "name": "What is the AI agent adoption rate in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "No official statistical agency measures AI agent adoption yet. The most-cited 2025/2026 baselines from industry surveys: Gartner forecasts 33% of enterprise apps will include agentic AI by 2028 (from <1% in 2024); Salesforce reports 63% of IT leaders piloting or deploying AI agents; PwC May 2025 found 79% of senior execs report AI agents being adopted; Capgemini found 10% already use agents and 82% plan to integrate within 1–3 years. These are self-report surveys with wide methodological variation — treat them as directional, not as official adoption rates." } }, { "@type": "Question", "name": "What is the generative AI adoption rate in enterprises in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "Generative AI specific adoption in 2025/2026: 71% per McKinsey State of AI 2025 (self-report, regular use in at least one function); ~6.5% per Eurostat 2025 (official, \"generates natural language/image/other content\" sub-category of enterprise AI use); 8.4% per Statistics Canada Q2 2025 (official, among AI-using businesses); 67% piloting, 18% scaling per Deloitte State of GenAI Q4 2024. The official statistical view (6–8%) is substantially lower than the self-report executive view (67–71%) because official surveys count integrated business-process use, while executive surveys count any reported genAI exposure including individual tool subscriptions." } }, { "@type": "Question", "name": "How much do enterprises spend on AI in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "Worldwide AI spending is forecast to reach US $632 billion by 2028 per IDC, at a 29.0% five-year CAGR. Gartner forecasts GenAI spending at US $644 billion in 2025, a 76.4% increase over 2024 — with 80% of that spend on hardware. U.S. private AI investment reached US $109.1 billion in 2024 per the Stanford HAI AI Index 2025, nearly 12x China's US $9.3 billion. 68% of CIOs plan to raise AI budgets in 2026 per Morgan Stanley Q1 2025 CIO Survey." } }, { "@type": "Question", "name": "What is the AI ROI rate for enterprises in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "Realized AI ROI varies sharply by use case: McKinsey 2024 found ~3.5x return for top-quartile use cases, with ~50% of organizations reporting revenue uplift and ~33% reporting cost reduction in adopting functions. BCG's AI Radar 2025 found only ~25% of companies have captured significant value from AI investments. For specific ROI benchmarks by use case (customer service, document processing, sales enablement), see Alice Labs' companion AI Automation ROI Benchmark 2026." } }, { "@type": "Question", "name": "What percentage of businesses are currently using AI?", "acceptedAnswer": { "@type": "Answer", "text": "Depending on the measurement basis, the percentage of businesses using AI in 2025/2026 ranges from 5.4% (U.S. BTOS, narrow two-week window) to 78% (Stanford HAI, self-report any function). The most defensible single number is ~20%, anchored by both Eurostat (19.95%) and OECD (20.2%) — both measuring integrated enterprise use of at least one listed AI technology. For executive briefings, cite 20% as the integrated rate and ~75% as the self-report any-use rate; the gap between them is the addressable opportunity." } }, { "@type": "Question", "name": "How many people use AI worldwide in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "OECD reports that ~37% of individuals across OECD member countries used AI in 2025, up from 28% in 2024 and 19% in 2023. OpenAI reports ~800 million weekly ChatGPT users in 2025 — the largest single-product user count. Statista estimates roughly 314 million AI users worldwide in 2024, projected to 730 million by 2030 (vendor estimate). These are user-level measures and should not be combined with the enterprise-level adoption rates elsewhere in this report." } }, { "@type": "Question", "name": "How many AI companies exist worldwide in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "The Stanford HAI AI Index 2025 counted 215 newly funded generative AI companies in 2024 alone. Crunchbase tracked over 7,000 AI-tagged private companies globally as of early 2026. The 2026 Forbes AI 50 list of private AI companies includes Anthropic, OpenAI, xAI, Mistral, Glean, Harvey, Sierra, Writer, Scale AI, and Anysphere among others. There is no single canonical count — definitions of \"AI company\" vary widely." } }, { "@type": "Question", "name": "How many AI models exist worldwide in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "Hugging Face hosts over 1.7 million AI models on its hub as of early 2026 — though this counts every variant, fine-tune, and minor release. The Stanford HAI AI Index 2025 catalogued 51 notable AI models released in 2024, up from 33 in 2023, across language, multimodal, and image-generation categories. The number of frontier foundation models (GPT-5, Claude Opus 4.7, Gemini 2.5, Llama 4) remains in the low double digits." } }, { "@type": "Question", "name": "How many AI researchers are there worldwide in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "The Stanford HAI AI Index 2025 reports over 130,000 publication-active AI researchers worldwide, with China and the United States contributing the largest absolute counts. The global AI talent pool (including engineers and applied scientists, not only publishing researchers) is estimated at ~500,000–1 million practitioners across LinkedIn-based estimates, though no official statistical agency publishes a harmonised count." } }, { "@type": "Question", "name": "What are the biggest barriers to enterprise AI adoption in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "Across official systems, the top three enterprise AI barriers in 2025/2026 are: (1) skills/expertise shortage — 70.89% of EU enterprises that considered AI cite this (Eurostat 2025); (2) use-case identification difficulty — 39% of UK firms (ONS 2023); (3) perceived irrelevance — 78.1% of Canadian non-planners (StatCan 2025). Cost is a meaningful but secondary barrier — 74.7% of EU large enterprises cite cost vs only ~30% of small enterprises (interesting size inversion). Privacy and legal uncertainty are rising in 2026 due to EU AI Act compliance preparation." } }, { "@type": "Question", "name": "Which countries are leading in AI policy and innovation in February 2026?", "acceptedAnswer": { "@type": "Answer", "text": "February 2026 AI policy leadership: the EU entered the next phase of AI Act enforcement (GPAI obligations took effect August 2025; high-risk obligations land August 2026); the U.S. published its January 2026 federal AI Action Plan; the UK renamed its AI Safety Institute to AI Security Institute with broader remit; France hosted the February 2025 Paris AI Action Summit (60-country declaration); India issued DPDP Act implementation rules; Japan passed its world-first soft-law AI Promotion Act in March 2026; South Korea's Basic AI Act provisions begin H2 2026. China's Generative AI Measures (binding since August 2023) remain the most operationally enforced national AI regulation." } }, { "@type": "Question", "name": "Is AI adoption higher in Europe or the United States?", "acceptedAnswer": { "@type": "Answer", "text": "On official measures, EU enterprise AI adoption (19.95%, Eurostat 2025) is higher than the U.S. (5.4%, Census BTOS Feb 2024) — but the comparison is misleading because the U.S. BTOS measures AI use in the previous two weeks, an intentionally narrow window. If U.S. AI use were measured on the EU's \"used at least one AI technology in the year\" basis, the rate would likely be in the 20–30% range. On investment and frontier model leadership, the U.S. leads decisively: US $109.1 billion private AI investment in 2024 vs the EU's ~US $13 billion (Stanford HAI AI Index 2025)." } }, { "@type": "Question", "name": "How is AI adoption measured by OECD economies?", "acceptedAnswer": { "@type": "Answer", "text": "OECD measures firm AI adoption through the ICT Access and Usage Database, which harmonises national ICT survey data. The headline indicator is the share of firms that report using AI technologies (text mining, speech recognition, NLG, image recognition, machine learning, AI-based automation, autonomous decision-making, generative AI). For 2025, the OECD reports 20.2% of firms used AI, up from 14.2% (2024) and 8.7% (2023). Sectoral breakdown shows ICT 57.3%, professional services 36.8%, manufacturing ~18%, with significant variation across member countries." } }, { "@type": "Question", "name": "What is the Japan AI adoption rate in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "Japan's Ministry of Internal Affairs and Communications (MIC) Communications White Paper 2024 reports ~42% of enterprises have introduced or are considering AI — a broader definition than Eurostat's \"used at least one AI technology.\" The Japan AI Promotion Act passed in March 2026 establishes the world's first soft-law AI regulatory framework. Active enterprise AI use (excluding \"considering\") is estimated at ~20–25%, roughly comparable to the OECD aggregate." } }, { "@type": "Question", "name": "What is the India AI adoption rate in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "India does not publish an official enterprise AI adoption rate. NASSCOM industry surveys report ~30–60% enterprise AI use depending on company size, with large IT services firms exceeding 80%. The DPDP Act implementation rules (February 2026) provide the first AI-relevant data protection regime in a major emerging market. India ranks 5th globally in AI publications and 3rd in AI patent filings per the Stanford HAI AI Index 2025." } }, { "@type": "Question", "name": "What is the AI growth statistics 2025–2026 acceleration?", "acceptedAnswer": { "@type": "Answer", "text": "The 2025–2026 AI growth acceleration is the steepest two-year curve since AI-in-business statistics began being collected: OECD firms 8.7% → 20.2% (+132% in two years); EU enterprises 8% (2023) → 19.95% (2025) (+150%); Canadian businesses 6.1% → 12.2% (+100%); Stanford HAI any-AI use 55% (2023) → 78% (2024) (+42%); McKinsey genAI use 33% (early 2023) → 71% (2024) (+115%). Hardware capex is accelerating in parallel: Gartner forecasts +76.4% GenAI spending growth in 2025 vs 2024." } }, { "@type": "Question", "name": "How does the IBM Global AI Adoption Index 2026 compare to GAIAI?", "acceptedAnswer": { "@type": "Answer", "text": "The IBM Global AI Adoption Index (most recent edition: 2024) is a self-report survey of large enterprises (1,000+ employees) by Morning Consult on IBM's behalf, reporting 42% AI deployment. The GAIAI (this report) is a desk-research compilation of official enterprise AI statistics from Eurostat, OECD, Statistics Canada, U.S. Census BTOS, and UK ONS, reporting the 19.95–20.2% integrated rate. IBM's survey is useful for large-enterprise momentum signals; GAIAI is the authoritative source for cross-country official adoption rates. They are complementary, not duplicative." } }, { "@type": "Question", "name": "What is the AI tool adoption rate in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "Individual AI tool adoption (e.g., ChatGPT, Microsoft Copilot, Claude, Gemini) is much higher than enterprise integrated AI use: ~37% of OECD individuals used AI tools in 2025 (OECD 2026); ~800 million weekly ChatGPT users (OpenAI 2025); ~83% of EU enterprises that use AI also use ChatGPT or a similar LLM per Eurostat's 2025 sub-question. AI tool adoption among knowledge workers in the EU and US likely exceeds 60% in 2026, though no official statistical agency measures this directly." } }, { "@type": "Question", "name": "What percentage of enterprises have an AI strategy in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "Self-report executive surveys in 2025/2026: PwC 2025 reports 49% of tech leaders say AI is fully integrated into core business strategy; Gartner reports 67% of organizations have an enterprise AI strategy; Deloitte State of GenAI Q4 2024 reports 25% of orgs have a clear genAI strategy; IBM 2024 reports 42% of large enterprises have deployed AI. The official statistical view does not measure \"strategy\" — only use. For Alice Labs' structured approach to enterprise AI strategy, see our AI strategy consulting." } }, { "@type": "Question", "name": "Is there an LLMS.txt adoption rate for 2026?", "acceptedAnswer": { "@type": "Answer", "text": "LLMS.txt adoption (the proposed standard for declaring AI-readable site structure) is too new for official statistics. Based on community trackers and our own crawler data, <5% of the top 10,000 websites have published an llms.txt file as of June 2026. The adoption curve resembles robots.txt in 1996 — early stage. Note that \"LLM-extractable content\" as a broader concept (structured data, schema.org markup, clean HTML) has much higher de facto adoption thanks to existing SEO best practice." } }, { "@type": "Question", "name": "How do you benchmark AI adoption by department?", "acceptedAnswer": { "@type": "Answer", "text": "The most-cited cross-system benchmark for AI adoption by department: Marketing/sales 34.70% (Eurostat 2025 — among EU AI-using enterprises); Business administration 31.05% (Eurostat); Production processes 26.40% (Eurostat); Logistics 19.30% (Eurostat); Customer service 27% (Statistics Canada 2025). McKinsey 2025 self-report by function: marketing/sales 65%, service operations 51%, software engineering 50%, product/service development 49%. Use Eurostat for the official integrated benchmark; use McKinsey for self-report functional spread." } } ] } ] }, { "@context": "https://schema.org", "@graph": [ { "@type": "Dataset", "@id": "https://alicelabs.ai/reports/global-ai-adoption-index-2026#gaiai-ci-dataset", "name": "GAIAI-CI v1.0 — Global AI Adoption Index Core Indicators", "description": "Machine-readable dataset of 20+ official AI adoption indicators across Eurostat, OECD, Statistics Canada, U.S. Census BTOS, and UK ONS. Each indicator includes metric name, value, unit, year, geography, definition, source URL, publisher, publish date, access date, and qualitative confidence level. 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Global AI Adoption Statistics 2026: Country Rankings & Data Research Report Published February 2026 Updated June 26, 2026 v1.5 # Global AI Adoption Statistics 2026: Country Rankings & Data Official benchmarks on enterprise AI adoption across EU, OECD, Canada, US, and UK — reproducible and citable Authors: [Linus Ingemarsson](https://alicelabs.ai/en/linus-ingemarsson)(Co-Founder, Alice Labs) [How to Cite](#cite) 19.95% EU Enterprise Adoption +6.47 pp YoY 20.2% OECD Firm Adoption 2.3× since 2023 38 pp Large–Small Enterprise Gap EU size divide 70.9% Skills Barrier (EU) #1 obstacle globally ## Contents - [At a Glance](#at-a-glance) - [Executive Summary](#executive-summary) - [Key Findings (15)](#key-findings) - [Q2 2026 Update — Latest Insights (June 2026)](#q2-2026-update) - [Expanded Analysis — June 2026 (Country, Industry, SME, GenAI, Agents)](#expanded-analysis-june-2026) - [Definitions and Scope](#definitions-scope) - [GAIAI Scoreboard (Core Indicators)](#scoreboard) - [Adoption Levels and Growth Trajectories](#adoption-levels) - [Size Divide and SME Diffusion](#size-divide) - [Use-Case, Technology Mix, and Sector Concentration](#use-cases) - [Barriers and Governance-Adjacent Constraints](#barriers) - [Adoption Pipeline and Forward Indicators](#pipeline-forward) - [Governance Environment and Compliance Signals](#governance) - [Outlook Scenarios (2026–2028)](#outlook-scenarios) - [Verification Notes](#verification-notes) - [Data Dictionary (GAIAI-CI v1.0)](#data-dictionary) - [Frequently Asked Questions](#faq) - [Glossary — Key Terms and Defined Concepts](#glossary) - [How to cite this report](#how-to-cite) - [FAQ](#faq) - [Methodology](#methodology) - [Cite](#cite) ![Linus Ingemarsson - Author at Alice Labs](/images/linus-ingemarsson.png) Written by [Linus Ingemarsson ](/en/linus-ingemarsson) ![Eric Lundberg - Reviewer at Alice Labs](/images/eric-lundberg.png) Reviewed by [Eric Lundberg ](/en/eric-lundberg) Published February 17, 2026 · Updated June 26, 2026 Methodology & Transparency: This analysis draws on primary sources — including Eurostat, OECD, national statistical agencies, peer-reviewed literature, and official vendor disclosures — combined with Alice Labs implementation data. AI tooling assists synthesis; every claim is human-reviewed against the cited source. **All figures and claims link to their public source for verification.** Reviewed by the named author and reviewer above. Methodology, source list, and revision history are available below. ## Cite This Report APABIBTEXMLA Ingemarsson, L. (2026). Global AI Adoption Index 2026. Alice Labs. Version 1.0. https://alicelabs.ai/reports/global-ai-adoption-index-2026 Copy citationVersion 1.5 • Published February 17, 2026 Key Takeaway This report defines and operationalizes a **Global AI Adoption Index (GAIAI) 2026** as a reproducible set of official, publicly accessible indicators that benchmark AI adoption across enterprises and SMEs. Scope focuses on enterprise AI usage rates, size gaps (SME vs large), and adoption maturity signals (use-case purposes, "considered/planned use," and barriers) using the most recent available statistics from **Eurostat** (EU enterprises), the **OECD ICT Access and Usage Database** release, **Statistics Canada's** Canadian Survey on Business Conditions, the **U.S. Census Bureau's BTOS** research outputs, and the **UK Office for National Statistics**. Key findings show that official adoption has accelerated in multiple systems: **EU enterprise AI use reached 19.95% in 2025**, while **OECD firms reporting AI use reached 20.2% in 2025**; however, adoption remains uneven by firm size (e.g., EU large vs small enterprises: 55% vs 17%) and constrained by recurring barriers such as skills/expertise shortages and legal/privacy uncertainty. The report includes a **machine-readable dataset (GAIAI-CI v1.0)**, verification notes, and three explicitly labeled adoption scenarios for 2026–2028. Limitations: official enterprise adoption statistics are not globally universal; measures differ across sources (time windows, sampling frames, and definitions), so cross-geo comparisons must be interpreted as benchmark family indicators, not a single harmonized global rate. ## Executive Summary **The Global AI Adoption Index (GAIAI) 2026 is a reproducible set of official, publicly accessible indicators that benchmark enterprise AI adoption across five major statistical systems.** It measures adoption rates, size gaps (SME vs large), use-case purposes, barriers, and governance signals — relying exclusively on official statistics and documented public sources. AI adoption measurement is maturing, but it remains fragmented. In the most comprehensive official enterprise system, **Eurostat reports that 19.95% of EU enterprises used AI technologies in 2025**, with steep size differences (55.03% for large enterprises vs 17% for small). At the OECD level, **20.2% of firms used AI in 2025**, up from 8.7% in 2023 — a 132% increase in two years. Canada's official business survey reports **12.2% of businesses used AI in the last 12 months** (Q2 2025 reference), with **14.5% planning to adopt within the next 12 months** (Q3 2025). In the U.S., high-frequency BTOS-based measurement shows **3.7% rising to 5.4%** (Sep 2023 → Feb 2024), with expected use rising to **6.6% for early Fall 2024**. The UK's ONS reports **9% of firms adopted AI in 2023**, with an intention-based projection to 22% in 2024. The consistent pattern across systems: adoption is not primarily blocked by lack of interest alone. Barriers cluster around **skills/expertise** (EU: 70.89%), **perceived irrelevance** (Canada: 78.1% of non-planners), and **difficulty identifying use cases** (UK: 39%), depending on survey wording and population. - **19.95%** of EU enterprises used AI in 2025 — up 6.47 pp from 2024 - **20.2%** of OECD firms reported AI use in 2025 — more than doubled since 2023 - **12.2%** of Canadian businesses used AI (Q2 2025) — doubled from 6.1% a year earlier - **70.89%** of EU enterprises that considered AI but didn't adopt cite lack of expertise - **55% vs 17%** — large vs small enterprise adoption gap in the EU (38 pp) - **57.3%** of OECD ICT firms use AI — highest sectoral concentration GAIAI v1.0 is a benchmark family rather than a single scalar ranking. Measures differ across sources — cross-geo comparisons must be interpreted within each system's definitional context. This report contains no interviews or anecdotes. For organisations moving from these benchmarks to implementation, Alice Labs operates as an [AI implementation consultant](/en/ai-consulting) for enterprises across Europe, delivers [enterprise AI training](/en/ai-training) programs to close the 70.89% skills barrier, and provides [AI strategy consulting](/en/ai-strategy) for boards navigating adoption decisions. Swedish enterprises can engage our [AI-konsult Stockholm](/ai-konsult) team directly. ## Key Findings 15 data-driven insights ### 01 EU enterprise AI adoption reached ~1 in 5 enterprises in 2025 19.95% of EU enterprises (10+ employees) used AI technologies in 2025 The EU is one of the few regions with annual, cross-country official enterprise AI adoption statistics — it anchors global benchmarking. Source: [Eurostat](https://ec.europa.eu/eurostat/statistics-explained/index.php?oldid=568530) ### 02 The EU shows a large SME–large adoption gap 55.03% (large) vs 17% (small) enterprises used AI in 2025 — gap ≈ 38 pp Adoption policies and vendor strategies must be segmented by firm size; 'average adoption' hides structural divides. Source: [Eurostat](https://ec.europa.eu/eurostat/statistics-explained/index.php?oldid=568530) ### 03 Text-mining/NLP is the most common AI technology type among EU enterprises 11.75% of EU enterprises used text mining in 2025 Early adoption is concentrated in language/data processing use cases, shaping ROI expectations and governance needs. Source: [Eurostat](https://ec.europa.eu/eurostat/statistics-explained/index.php?oldid=568530) ### 04 EU enterprises most often use AI for commercial functions 34.70% of AI-using enterprises used AI for marketing or sales (2025) The 'first wave' business value is customer-facing and revenue-adjacent rather than deep operational automation. Source: [Eurostat](https://ec.europa.eu/eurostat/statistics-explained/index.php?oldid=568530) ### 05 Skills/expertise is the #1 EU barrier among enterprises that considered AI 70.89% cite lack of relevant expertise (2025; among 'considered' non-adopters) Workforce capability and support ecosystems are core adoption constraints — not only capital expenditure. Source: [Eurostat](https://ec.europa.eu/eurostat/statistics-explained/index.php?oldid=568530) ### 06 OECD firm AI adoption more than doubled in two years (2023→2025) 8.7% (2023) → 14.2% (2024) → 20.2% (2025) firms using AI Adoption acceleration is measurable in official sources, providing a basis for scenario planning and infrastructure investment. Source: [OECD](https://www.oecd.org/en/about/news/announcements/2026/01/ai-use-by-individuals-surges-across-the-oecd-as-adoption-by-firms-continues-to-expand.html) ### 07 OECD adoption remains uneven by firm size 52.0% of large firms vs 17.4% of small firms use AI (2025) Similar to the EU, scale advantages and capacity constraints shape adoption outcomes across the OECD. Source: [OECD](https://www.oecd.org/en/about/news/announcements/2026/01/ai-use-by-individuals-surges-across-the-oecd-as-adoption-by-firms-continues-to-expand.html) ### 08 OECD AI adoption is most concentrated in ICT firms 57.3% of ICT firms used AI (OECD, 2025); professional/scientific services 36.8% Sectoral concentration implies that diffusion to 'lagging sectors' is the key frontier for productivity impact. Source: [OECD](https://www.oecd.org/en/about/news/announcements/2026/01/ai-use-by-individuals-surges-across-the-oecd-as-adoption-by-firms-continues-to-expand.html) ### 09 Canada's official business AI use rate doubled year-over-year 6.1% (Q2 2024) → 12.2% (Q2 2025) businesses using AI in last 12 months Rapid diffusion in a large, advanced economy using a clear survey instrument. Source: [Statistics Canada](https://www150.statcan.gc.ca/n1/pub/11-621-m/11-621-m2025011-eng.htm) ### 10 Canada shows a large 'non-adoption majority' driven mainly by perceived irrelevance 66.7% report no plans to adopt AI; 78.1% of non-planners cite 'AI not relevant' Adoption isn't just constrained by cost or regulation; many businesses still see limited applicability. Source: [Statistics Canada](https://www150.statcan.gc.ca/n1/pub/11-621-m/11-621-m2025011-eng.htm) ### 11 U.S. high-frequency BTOS measures show fast growth from a low base 3.7% AI use rate in Sep 2023 → 5.4% in Feb 2024 (previous two weeks) Provides one of the most time-sensitive official indicators, useful for detecting inflection points. Source: [U.S. Census Bureau](https://www.census.gov/hfp/btos/downloads/CES-WP-24-16.pdf) ### 12 UK ONS reports 9% firm AI adoption in 2023, with planned adoption projected to 22% in 2024 9% used AI in 2023; projected 22% in 2024 based on plans Demonstrates how 'adoption' depends on whether measurement is realized use vs planned use. Source: [UK Office for National Statistics](https://www.ons.gov.uk/economy/economicoutputandproductivity/productivitymeasures/articles/managementpracticesandtheadoptionoftechnologyandartificialintelligenceinukfirms2023/2025-03-24) ### 13 UK firms' top AI barrier is 'identifying activities/use cases' 39% cite difficulty identifying activities/use cases; 21% cite cost; 16% cite AI expertise Adoption barriers can be 'deployment design' problems, not just technology availability. Source: [UK Office for National Statistics](https://www.ons.gov.uk/economy/economicoutputandproductivity/productivitymeasures/articles/managementpracticesandtheadoptionoftechnologyandartificialintelligenceinukfirms2023/2025-03-24) ### 14 Formal governance frameworks are converging but not yet measurable as adoption statistics ISO/IEC 42001 exists as AI management system standard (edition 1, 2023-12) Standards create common control language even before certification metrics mature. Source: [ISO](https://www.iso.org/standard/42001) ### 15 EU AI Act creates new compliance requirements for adoption planning Regulation (EU) 2024/1689, published in Official Journal 12 July 2024 Compliance requirements shift adoption toward governance, documentation, and risk controls — especially for 'high-risk' systems. Source: [EUR-Lex](https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng) ### Need Help Implementing These Findings? Alice Labs helps enterprises turn AI research into measurable business outcomes — from strategy to full-scale implementation. [Explore AI Consulting](/en/ai-consulting)[See AI Strategy Services](/en/ai-strategy) ## Q2 2026 Update — Latest Insights (June 2026) Last reviewed: 26 June 2026 GAIAI v1.4 — quarterly refresh Since this report was first published in February 2026, three new data releases have firmed up the picture for the questions readers ask most: _How fast is enterprise AI adoption accelerating into 2026? Which countries lead the global AI ranking? What is the latest 2026 enterprise AI adoption rate by industry?_ This Q2 2026 update integrates the **Stanford HAI AI Index 2025**, the **OECD AI Index 2025**, and the **McKinsey Global Survey on AI (2025)** alongside the official Eurostat and Statistics Canada series already cited above. No previously published figures have been overwritten — additions only. ### What changed since publication - **OECD AI Index 2025 (Dec 2025 release)** confirmed the 8.7% → 14.2% → 20.2% firm-adoption trajectory; the largest country contributors to the OECD aggregate are Germany, France, and the Nordic cluster. - **Stanford HAI AI Index 2025** reports that 78% of organizations used AI in at least one business function in 2024, up from 55% in 2023, on a self-report basis (note: broader definition than official enterprise surveys). - **McKinsey State of AI 2025** shows generative AI adoption at 71% of respondents' organizations, a jump from 33% in early 2023 — also self-report and not directly comparable to Eurostat or OECD. - **BCG AI Radar 2025** finds only ~25% of companies have captured significant value from AI investments — re-emphasising the "adoption ≠ value" gap visible in official barrier data. ### AI growth statistics 2025–2026 — acceleration view Combining the official series with the cross-checked private-survey data, the 2025–2026 acceleration is consistent across measurement traditions: **official enterprise surveys** (Eurostat 19.95%, OECD 20.2%, StatCan 12.2%) show roughly a doubling of the adoption base over two years, while **self-report executive surveys** (McKinsey, Stanford HAI) describe a near-universal "at least one function" footprint of 70–80%. The gap between these two numbers is the most important interpretive point for 2026 enterprise AI strategy: light-touch use ≠ enterprise-grade deployment. Source (2025 release) 2025 Adoption Headline 2023 Baseline Measurement Type Eurostat (EU enterprises 10+) 19.95% 8.0% (2023) Official statistics OECD firms (ICT Access & Usage) 20.2% 8.7% (2023) Official statistics Stanford HAI AI Index 2025 78% 55% (2023) Self-report executive survey McKinsey Global Survey on AI 2025 71% (GenAI use) 33% (early 2023) Self-report executive survey BCG AI Radar 2025 ~25% n/a Share capturing significant value Sources (accessed 2026-06-26): [Stanford HAI AI Index 2025](https://hai.stanford.edu/ai-index/2025-report/economy); [OECD 2026-01 announcement](https://www.oecd.org/en/about/news/announcements/2026/01/ai-use-by-individuals-surges-across-the-oecd-as-adoption-by-firms-continues-to-expand.html); [McKinsey State of AI 2025](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai); [BCG AI Radar 2025](https://www.bcg.com/publications/2025/closing-the-ai-impact-gap). ### AI adoption rates by industry — 2025/2026 view The OECD ICT Access & Usage 2025 release provides the most granular cross-sector breakdown currently available from an official source. For readers asking about _2026 enterprise AI adoption rate by industry_, the practical answer is: ICT remains 2–3× ahead of the cross-sector average, professional services follow, and traditional sectors (construction, accommodation/food, transportation) sit well below 15%. Sector (OECD 2025) AI Adoption Rate Direction vs 2024 ICT 57.3% Rising Professional, scientific & technical 36.8% Rising Finance & insurance ~28% Rising Manufacturing ~18% Rising Retail / wholesale ~15% Stable Construction / accommodation / transport <10% Stable Source: [OECD — Measuring the use of AI by businesses](https://www.oecd.org/en/publications/measuring-the-use-of-ai-by-businesses_74e7e958-en.html) (2025/2026 release). Percentages outside ICT and professional services are rounded mid-points from OECD's published sector chart and may be revised when the 2026 microdata is released. ### Global AI ranking 2026 — leading countries GAIAI does not produce a single global AI ranking, but readers searching for _"global AI ranking 2026"_ or _"AI innovation and policy news leading countries February 2026"_ typically want to know which countries are setting the pace on enterprise adoption and AI policy. The most defensible 2026 ordering uses the OECD 2025 country split plus the Stanford HAI Global AI Vibrancy ranking: Country 2025 Firm-Adoption Position 2026 Policy Signal United States Highest Stanford HAI Vibrancy score (1st) Jan 2026 federal AI action plan; states pre-empted on AI labor laws. China 2nd Vibrancy; leading patents & publications Generative AI Measures (Aug 2023) now binding on cross-border services. European Union (aggregate) 19.95% enterprise adoption EU AI Act high-risk provisions enter into force Aug 2026. United Kingdom 3rd Vibrancy; 9% ONS (2023) AI Opportunities Action Plan published Jan 2025; principles-based regime. Germany Top OECD contributor to firm adoption €20 bn AI investment commitment (2025–2030) confirmed. Canada 12.2% StatCan (Q2 2025) AIDA still pending; voluntary Code of Practice in force. Nordic cluster (SE, DK, FI, NO) Above EU average in Eurostat detail Swedish AI Commission report (2025) translated into 2026 budget priorities. Sources: [Stanford HAI AI Index 2025 (Global Vibrancy)](https://hai.stanford.edu/ai-index/2025-report); [EU AI Act (Reg 2024/1689)](https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng); [UK AI Opportunities Action Plan](https://www.gov.uk/government/publications/ai-opportunities-action-plan). ### Q2 2026 enterprise AI adoption — operator's read For boards and operators using this report as the input to 2026 enterprise AI adoption decisions, three observations from the latest releases matter more than the headline rates: 1. **The "20% vs 75%" interpretive gap is real.** Official enterprise statistics (Eurostat, OECD) capture firms that have integrated at least one listed AI technology into a business process. Self-report executive surveys (McKinsey, Stanford HAI) capture _any_ reported AI use, including pilots, individual tool subscriptions, and shadow IT. Use the official numbers when you need a defensible benchmark; use the executive surveys when you need to brief on momentum. 2. **The skills barrier is still #1.** The 70.89% EU expertise-shortage finding has not moved meaningfully in the 2026 releases — McKinsey 2025 reports that only 1% of leaders describe their AI rollouts as "mature." Skills, governance, and use-case identification continue to dominate cost. 3. **Industry rankings are stable.** ICT, professional services, and finance lead. Construction, accommodation, and transportation lag. Manufacturers are the most-moved cluster in 2026 thanks to operational genAI in maintenance and quality control. Update window: The next Eurostat refresh is scheduled for December 2026 and the next OECD ICT Access & Usage release is expected in Q4 2026. GAIAI v1.4 will be revised again when either lands. Methodology, definitions, and previously published figures are unchanged — this update is additive. ## Expanded Analysis — June 2026 (Country, Industry, SME, GenAI, Agents) GAIAI v1.5 — deep expansion Added 26 June 2026 This expansion answers the most-asked 2026 questions on enterprise AI adoption: country-level rates, industry breakdowns, small-business adoption, generative-AI vs classical AI, the agentic AI adoption curve, AI spending and ROI benchmarks, and the most-quoted single-sentence statistics for citation. Every figure below traces to a publicly accessible source — Eurostat, OECD, Statistics Canada, U.S. Census BTOS, UK ONS, Stanford HAI AI Index 2025, the OECD AI Policy Observatory, McKinsey, BCG, and IDC/Gartner — and all official figures published earlier in this report remain unchanged. ### Quotable statistics — single-sentence facts for 2026 enterprise AI adoption Each callout is a self-contained sentence designed for direct citation. Numbers reflect the most recent official or institutional release as of June 2026. **19.95% of EU enterprises (10+ employees) used at least one AI technology in 2025**, up from 13.48% in 2024 — a +6.47 percentage-point year-over-year increase. \[[Source: Eurostat 2025](https://ec.europa.eu/eurostat/statistics-explained/index.php?oldid=568530)\] **20.2% of OECD firms reported using AI in 2025**, up from 14.2% in 2024 and 8.7% in 2023 — adoption has more than doubled across the OECD in two years. \[[Source: OECD January 2026](https://www.oecd.org/en/about/news/announcements/2026/01/ai-use-by-individuals-surges-across-the-oecd-as-adoption-by-firms-continues-to-expand.html)\] **12.2% of Canadian businesses used AI in the past 12 months as of Q2 2025**, exactly doubling the 6.1% rate reported a year earlier. \[[Source: Statistics Canada 2025](https://www150.statcan.gc.ca/n1/pub/11-621-m/11-621-m2025011-eng.htm)\] **5.4% of U.S. employer businesses reported using AI in the previous two weeks in February 2024**, up from 3.7% in September 2023 in the U.S. Census Bureau's Business Trends and Outlook Survey. \[[Source: U.S. Census BTOS 2024](https://www.census.gov/hfp/btos/downloads/CES-WP-24-16.pdf)\] **9% of UK firms reported using AI in 2023**, with projected adoption rising to 22% in 2024 based on firms' reported plans, according to the ONS Management and Expectations Survey. \[[Source: UK ONS 2025](https://www.ons.gov.uk/economy/economicoutputandproductivity/productivitymeasures/articles/managementpracticesandtheadoptionoftechnologyandartificialintelligenceinukfirms2023/2025-03-24)\] **78% of organizations reported using AI in at least one business function in 2024**, up from 55% in 2023, in the Stanford HAI AI Index 2025 — a self-report measure that intentionally includes pilots and individual-tool subscriptions. \[[Source: Stanford HAI AI Index 2025](https://hai.stanford.edu/ai-index/2025-report/economy)\] **71% of respondents' organizations regularly used generative AI in at least one business function in 2024**, up from 33% in early 2023, in the McKinsey Global Survey on the State of AI. \[[Source: McKinsey State of AI 2025](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai)\] **Only ~25% of companies have captured significant value from AI investments** according to BCG's AI Radar 2025 survey of 1,000+ C-suite executives — the so-called "AI impact gap." \[[Source: BCG AI Radar 2025](https://www.bcg.com/publications/2025/closing-the-ai-impact-gap)\] **55.03% of large EU enterprises used AI in 2025 vs only 17% of small enterprises** — a 38-percentage-point gap that is the single most consistent structural finding in official AI adoption data. \[[Source: Eurostat 2025](https://ec.europa.eu/eurostat/statistics-explained/index.php?oldid=568530)\] **57.3% of OECD ICT firms used AI in 2025** — the highest sectoral concentration in any official statistical system and roughly 3x the OECD cross-sector average of 20.2%. \[[Source: OECD 2026](https://www.oecd.org/en/about/news/announcements/2026/01/ai-use-by-individuals-surges-across-the-oecd-as-adoption-by-firms-continues-to-expand.html)\] **70.89% of EU enterprises that considered AI but did not adopt cited "lack of relevant expertise"** as a barrier in 2025 — the #1 reason for non-adoption across Eurostat's barrier categories. \[[Source: Eurostat 2025](https://ec.europa.eu/eurostat/statistics-explained/index.php?oldid=568530)\] **34.70% of EU AI-using enterprises used AI for marketing or sales in 2025**, making it the most common business function for enterprise AI deployment. \[[Source: Eurostat 2025](https://ec.europa.eu/eurostat/statistics-explained/index.php?oldid=568530)\] **Global private investment in generative AI reached US $33.9 billion in 2024**, an 18.7% increase over 2023 and roughly 8.5x the 2022 level, according to the Stanford HAI AI Index 2025. \[[Source: Stanford HAI AI Index 2025](https://hai.stanford.edu/ai-index/2025-report)\] **Worldwide spending on AI is forecast to reach US $632 billion by 2028**, growing at a 29.0% compound annual growth rate from 2024, according to IDC's Worldwide AI and Generative AI Spending Guide. \[[Source: IDC 2024](https://www.idc.com/getdoc.jsp?containerId=prUS52530724)\] **Gartner forecasts worldwide GenAI spending will reach US $644 billion in 2025**, a 76.4% increase over 2024, with hardware accounting for 80% of that spend. \[[Source: Gartner 2025](https://www.gartner.com/en/newsroom/press-releases/2025-03-31-gartner-forecasts-worldwide-genai-spending-to-reach-644-billion-in-2025)\] **78.1% of Canadian businesses that have no plans to adopt AI cite "AI not being relevant"** as the reason in Q3 2025 — a barrier pattern distinct from the EU's skills-shortage finding. \[[Source: Statistics Canada 2025](https://www150.statcan.gc.ca/n1/pub/11-621-m/11-621-m2025011-eng.htm)\] **By 2028, 33% of enterprise software applications will include agentic AI**, up from less than 1% in 2024, according to Gartner — enabling 15% of day-to-day work decisions to be made autonomously. \[[Source: Gartner 2024](https://www.gartner.com/en/newsroom/press-releases/2024-10-21-gartner-identifies-the-top-10-strategic-technology-trends-for-2025)\] **The EU AI Act (Regulation 2024/1689) was published in the Official Journal on 12 July 2024**, with general-purpose AI obligations applying from 2 August 2025 and high-risk system obligations from 2 August 2026. \[[Source: EUR-Lex 2024](https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng)\] **The number of newly funded generative AI companies reached 215 in 2024**, with US firms attracting US $109.1 billion in private AI investment — nearly 12x China's US $9.3 billion, per the Stanford HAI AI Index 2025. \[[Source: Stanford HAI AI Index 2025](https://hai.stanford.edu/ai-index/2025-report)\] **74.7% of EU large enterprises planning AI cite cost as a barrier** — the highest cost-concern share among any Eurostat size class in 2025. \[[Source: Eurostat 2025](https://ec.europa.eu/eurostat/statistics-explained/index.php?oldid=568530)\] ### AI adoption rate by country — 2025/2026 deep table This table consolidates the country-level enterprise AI adoption rates published by each official statistical system in 2025–2026. Where the official series reports on a different base (e.g., enterprises 10+ employees vs all employer businesses), the row makes that explicit. **Rates are not directly comparable across systems** — they share intent (enterprise AI use) but differ on time window, size threshold, and the list of AI technologies counted. Country Enterprise AI Adoption Rate Reference Year Source & Note Denmark 27.6% 2024 Eurostat — enterprises 10+ employees (highest in EU) Sweden 25.0% 2024 Eurostat — enterprises 10+ employees Finland 24.7% 2024 Eurostat — Nordic cluster leader Belgium 24.7% 2024 Eurostat — enterprises 10+ employees Netherlands 22.7% 2024 Eurostat — enterprises 10+ employees Germany 20.0% 2024 Eurostat (Destatis input) — largest absolute number of adopters in EU European Union (27) 19.95% 2025 Eurostat — official EU aggregate France 10.4% 2024 Eurostat — below EU average Italy 8.2% 2024 Eurostat — significantly below EU mean Poland 5.9% 2024 Eurostat — among lowest EU rates Canada 12.2% Q2 2025 Statistics Canada — businesses using AI in past 12 months United States 5.4% Feb 2024 U.S. Census BTOS — previous-2-weeks window (very narrow) United Kingdom 9% 2023 ONS MES — projected to 22% in 2024 based on plans Japan 42% 2024 MIC Communications White Paper — broader "introduced or considering" basis South Korea 28% 2024 NIA Korea Information Society Survey — businesses with 10+ employees Singapore ~44% 2024 IMDA Annual Survey on Infocomm Usage — enterprises adopting AI Australia 39% 2023–24 ABS Business Characteristics Survey — businesses using AI China ~58% (large) 2024 CAICT (China Academy of ICT) — large industrial enterprises only; no harmonised SME measure India no official rate — NASSCOM industry surveys report ~30–60% executive-survey adoption; no comparable official series Turkey (SMEs) ~7% 2024 TÜİK KOBİ (Turkish SME) ICT use survey — AI use among 10–249 employee firms Sources accessed 2026-06-26: [Eurostat isoc\_eb\_ai](https://ec.europa.eu/eurostat/databrowser/view/isoc_eb_ai/default/table) (national breakdowns 2024 wave); [Statistics Canada CSBC](https://www150.statcan.gc.ca/n1/pub/11-621-m/11-621-m2025011-eng.htm); [U.S. Census BTOS](https://www.census.gov/hfp/btos/); [UK ONS](https://www.ons.gov.uk/); [Japan MIC White Paper](https://www.soumu.go.jp/johotsusintokei/whitepaper/); [Korea NIA](https://www.nia.or.kr/); [IMDA Singapore](https://www.imda.gov.sg/about-imda/research-and-statistics); [ABS Australia](https://www.abs.gov.au/); [CAICT China](https://www.caict.ac.cn/english/). Cross-country comparisons require interpretation against each system's definitional context. ### AI adoption rates by industry — 2025/2026 deep table Two cross-country reads of enterprise AI by industry exist as official data: the OECD ICT Access & Usage 2025 release (presented earlier) and the Eurostat _isoc\_eb\_ain2_ NACE-section breakdown. Combined with Stanford HAI's sector-of-deployment analysis, this gives the following 2025/2026 view of _which industries adopt AI the fastest_. Industry (NACE / OECD section) EU enterprise AI use (Eurostat 2025) OECD firm AI use (2025) Direction 2024→2026 Information & Communication (ICT) 48.7% 57.3% Rising fast Professional, scientific & technical services 29.5% 36.8% Rising Financial & insurance activities 26.9% ~28% Rising Manufacturing 17.5% ~18% Rising (genAI-driven) Wholesale & retail trade 15.1% ~15% Stable Real estate 14.5% — Stable Administrative & support services 12.6% — Stable Electricity, gas, water, waste 11.9% — Stable Transportation & storage 9.8% <10% Stable Construction 7.7% <10% Lagging Accommodation & food services 6.3% <10% Lagging Sources accessed 2026-06-26: [Eurostat isoc\_eb\_ain2 (NACE breakdown)](https://ec.europa.eu/eurostat/databrowser/view/isoc_eb_ain2/default/table); [OECD Measuring the use of AI by businesses](https://www.oecd.org/en/publications/measuring-the-use-of-ai-by-businesses_74e7e958-en.html). EU sector values are 2024-wave Eurostat figures (latest available NACE detail at time of writing); EU aggregate for 2025 (19.95%) is from the more recent _isoc\_eb\_ai_ headline series. ### Small business and SME AI adoption — 2025/2026 Many GSC queries ask specifically about small business AI adoption (e.g., _"small business ai adoption statistics 2026"_, _"sme ai adoption rate sme europe statistics 2025 2026"_, _"turkey kobi sme ai adoption rate 2026 statistics"_). The SME picture differs materially from the headline enterprise rate and depends heavily on the size threshold used. Size segment EU (Eurostat 2025) OECD (2025) U.S. (Census BTOS 2024) Large (≥250 employees) 55.03% 52.0% 10.5–13% Medium (50–249 employees) 30.36% 31.0% ~7% Small (10–49 employees) 17.00% 17.4% ~5% Micro (1–9 employees) Not measured in Eurostat enterprise frame Not consistently measured ~3% (BTOS <10 emp) - **U.S. small business AI adoption** rose from roughly 4.2% to 5.7% between September 2023 and September 2024 in BTOS, with the most-adopted technologies being chatbots and digital assistants — see U.S. Census ["Is AI Use Increasing Among Small Businesses?"](https://www.census.gov/library/stories/2024/12/small-business-ai.html) (Dec 2024). - **EU SME (10–249 employees) AI adoption** sat at roughly 19% in 2025 when combining the small + medium categories — well below the 55.03% large-firm rate but doubling 2023 levels. - **UK SME AI adoption** stood at 15% of SMEs in 2024 per the DSIT AI Activity in UK Businesses 2024 update (extrapolation; ONS MES is the authoritative source). \[[UK DSIT 2024](https://www.gov.uk/government/publications/ai-activity-in-uk-businesses)\] - **Turkey SME (KOBİ) AI use** remains under 10% per TÜİK ICT-in-enterprises 2024 — the lowest reported SME rate in the OECD-adjacent measurement family. - **The most-cited official small business AI adoption survey for 2025/2026** remains the U.S. Census BTOS (biweekly), supplemented by Statistics Canada's Canadian Survey on Business Conditions (quarterly) and Eurostat's isoc\_eb\_ai breakdown by size class (annual). ### Generative AI enterprise adoption — 2025/2026 specific When readers search for _"generative ai enterprise adoption 2026"_, _"global generative ai adoption rate 2026"_, or _"enterprise generative ai adoption news may 2026"_, they typically mean adoption of large language models (LLMs) and image-generation systems specifically — not all AI technologies. That measure is much higher than the integrated-AI-use rate because LLM tools require almost no integration to "use." The most reliable 2025/2026 generative-AI-specific numbers: Source & Year Generative AI Adoption Headline Measurement Basis McKinsey State of AI 2025 71% of orgs regularly use genAI Self-report executive survey, any function Stanford HAI AI Index 2025 78% any AI / 71% genAI Re-uses McKinsey data; "at least one function" Eurostat — generative AI sub-category 2025 ~6.5% of EU enterprises Official; "generates natural language, image or other content" Statistics Canada Q2 2025 8.4% used generative AI Official; among AI-using businesses Deloitte State of GenAI in the Enterprise (Q4 2024) 67% piloting / 18% scaling Self-report C-suite survey, n=2,773 BCG AI Radar 2025 ~25% capturing significant value Self-report executive survey on value, not use PwC 2025 AI Business Predictions 49% of tech leaders fully integrated Self-report; "fully integrated into core strategy" IBM Global AI Adoption Index 2024 42% of enterprises deployed AI Self-report executive survey, enterprises 1,000+ employees Sources: [McKinsey State of AI](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai); [Stanford HAI Economy chapter](https://hai.stanford.edu/ai-index/2025-report/economy); [Eurostat 2025](https://ec.europa.eu/eurostat/statistics-explained/index.php?oldid=568530); [Deloitte State of GenAI](https://www2.deloitte.com/us/en/pages/consulting/articles/state-of-generative-ai-in-enterprise.html); [PwC 2025 AI Predictions](https://www.pwc.com/us/en/tech-effect/ai-analytics/ai-predictions.html); [IBM Global AI Adoption Index 2024](https://newsroom.ibm.com/2024-01-10-Data-Suggests-Growth-in-Enterprise-Adoption-of-AI-is-Due-to-Widespread-Deployment-by-Early-Adopters). ### AI agent enterprise adoption — 2025/2026 baseline AI agent adoption is the fastest-growing sub-category in 2026 search demand (queries like _"ai agent adoption statistics 2026"_, _"enterprise ai agent adoption rate 2026"_, _"stanford ai index 2026 ai agents enterprise adoption"_). Because no official statistical agency has yet published an "AI agents" indicator, all current figures are vendor or industry-analyst surveys. The most cited 2025/2026 baselines: Source AI Agent Adoption Metric Time Frame Gartner 33% of enterprise apps will include agentic AI by 2028 (from <1% in 2024) Forecast — 2024 to 2028 Deloitte Predictions 2025 25% of enterprises using genAI will deploy AI agents in 2025; 50% by 2027 Forecast — 2025 to 2027 Salesforce State of IT (Aug 2024) 63% of IT leaders piloting or deploying AI agents Survey of 1,800 IT leaders PwC May 2025 AI Agent Survey 79% of senior execs report AI agents being adopted in their company Survey of 300 senior execs Capgemini AI Agents 2024 10% of orgs already use; 82% plan to integrate within 1–3 years Survey of 1,100 execs McKinsey 2025 1% of leaders describe their genAI rollouts as "mature" Self-report; agentic maturity ceiling Sources: [Gartner Top 10 Tech Trends 2025](https://www.gartner.com/en/newsroom/press-releases/2024-10-21-gartner-identifies-the-top-10-strategic-technology-trends-for-2025); [Deloitte TMT Predictions 2025](https://www2.deloitte.com/us/en/insights/industry/technology/technology-media-and-telecom-predictions.html); [Salesforce State of IT 2024](https://www.salesforce.com/news/stories/agentic-ai-state-of-it-2024/); [PwC AI Agent Survey 2025](https://www.pwc.com/us/en/tech-effect/ai-analytics/ai-agent-survey.html); [Capgemini Research Institute](https://www.capgemini.com/insights/research-library/generative-ai-in-organizations/). Stanford HAI's 2026 AI Index (expected April 2026) is anticipated to include the first dedicated agentic AI chapter. ### Enterprise AI spending and ROI benchmarks — 2026 Search demand for AI ROI and spending benchmarks is dense (_"enterprise ai adoption trends and spending benchmarks 2026"_, _"ai roi enterprise adoption statistics 2026"_). Spending forecasts and realized ROI come from different sources — forecasts from IDC and Gartner, realized ROI from McKinsey, Deloitte, IBM, and Microsoft. The 2026 view: Metric 2025/2026 Value Source Worldwide AI spending forecast 2028 US $632 billion IDC Worldwide AI & GenAI Spending Guide (Aug 2024) AI spending 5-year CAGR (2024–2028) 29.0% IDC GenAI spending 2025 US $644 billion (+76.4% YoY) Gartner Mar 2025 GenAI hardware share of total GenAI spending 80% Gartner Mar 2025 U.S. private AI investment 2024 US $109.1 billion Stanford HAI AI Index 2025 Global GenAI private investment 2024 US $33.9 billion (+18.7%) Stanford HAI AI Index 2025 Median enterprise AI ROI multiple (McKinsey 2024) ~3.5x for top-quartile use cases McKinsey State of AI 2024 Share of orgs reporting AI revenue uplift ~50% in adopting functions McKinsey State of AI 2025 Share of orgs reporting AI cost reduction ~33% in adopting functions McKinsey State of AI 2025 Share of CIOs raising AI budgets in 2026 68% Morgan Stanley CIO Survey Q1 2025 Share of "significant value" capture (BCG) ~25% BCG AI Radar 2025 Sources accessed 2026-06-26: [IDC AI Spending Guide](https://www.idc.com/getdoc.jsp?containerId=prUS52530724); [Gartner Mar 2025](https://www.gartner.com/en/newsroom/press-releases/2025-03-31-gartner-forecasts-worldwide-genai-spending-to-reach-644-billion-in-2025); [Stanford HAI AI Index 2025](https://hai.stanford.edu/ai-index/2025-report); [McKinsey State of AI 2025](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai); [BCG AI Radar 2025](https://www.bcg.com/publications/2025/closing-the-ai-impact-gap). See the companion Alice Labs report [AI Automation ROI Benchmark 2026](/reports/ai-automation-roi-benchmark-2026) for ROI-specific deep analysis. ### Why "% of companies use AI" varies 5x — the interpretive gap explained One of the most-asked questions in 2026 search is some variant of _"what percentage of companies use AI?"_. The honest answer is between 5% and 78% depending on what you mean. The 5x gap is not a measurement error — it is a definition gap: Definition 2025/2026 Rate What it actually means Used AI in the previous two weeks (U.S. BTOS narrow window) 5.4% Active integrated use; excludes monthly users UK firm AI adoption — used in methods/processes (2023) 9% Implementation as part of operations, not pilots Canadian business AI use in past 12 months 12.2% Any use over a year, including one-off EU enterprise AI use (Eurostat — used at least one listed AI tech) 19.95% Used one or more of 7 listed AI technology categories OECD firm AI use 20.2% Cross-country aggregate matching Eurostat methodology IBM Global AI Adoption Index 2024 (large enterprises only) 42% Self-report; enterprises 1,000+ employees only McKinsey genAI use (organizations, any function) 71% Self-report executive survey; includes individual subscriptions Stanford HAI any-AI use (orgs, at least one function) 78% Self-report; broadest possible reading The rule of thumb for 2026 enterprise AI strategy briefings: cite **20% as the official integrated-adoption rate**, and **75% as the self-report any-use rate**. The gap between them is the addressable opportunity for AI implementation and training programs. ### Stanford HAI AI Index 2026 — what to expect Queries like _"stanford ai index 2026 release date"_, _"ai index report 2026 pdf"_, and _"stanford ai index 2026 key findings"_ appear hundreds of times in our search data. Here is the verified status as of June 2026: - **Release date:** The Stanford HAI AI Index is published annually in spring. The 2024 edition launched in April 2024; the 2025 edition launched April 2025; the **2026 edition is expected April 2026** per Stanford HAI's standing publication cadence. \[[Stanford HAI AI Index hub](https://hai.stanford.edu/ai-index)\] - **Latest published version:** The **Stanford HAI AI Index 2025** remains the most recent edition until April 2026. It contains 12 chapters covering research, technical performance, responsible AI, economy, education, public opinion, policy, science & medicine, diversity, training data & compute, AI agents (new), and the Global AI Vibrancy ranking. \[[Stanford HAI AI Index 2025 (full PDF)](https://hai.stanford.edu/ai-index/2025-report)\] - **Key 2025 findings cited in this report:** 78% of organizations using AI in at least one function (up from 55% in 2023); US private AI investment of US $109.1 billion (nearly 12x China); global generative AI investment of US $33.9 billion (+18.7%); 215 new genAI companies founded in 2024. - **What the 2026 edition will add:** Based on Stanford HAI's 2025 announcements, expect deeper coverage of (a) agentic AI deployment, (b) public-sector AI adoption, (c) AI compute and energy footprint, and (d) updated Global AI Vibrancy with revised methodology. The US, China, and UK have led the Vibrancy ranking since 2023 and are expected to lead 2026. ### Artificial Analysis Intelligence Index — what it is and how it differs from GAIAI Queries like _"artificial analysis intelligence index 2026"_ and _"artificial analysis intelligence index april 2026"_ show search confusion between two very different indexes. The **Artificial Analysis Intelligence Index** (by the company Artificial Analysis) tracks _model capability_ — frontier LLM benchmarks like MMLU, GPQA Diamond, HumanEval, AIME — and is updated continuously. The **Global AI Adoption Index (GAIAI)** tracks _enterprise adoption_ using official statistical sources. They answer different questions: Dimension Artificial Analysis Index Global AI Adoption Index (this report) What it measures Frontier LLM benchmark performance Enterprise & SME AI adoption rates Unit of analysis AI models (GPT-5, Claude Opus 4.7, Gemini 2.5) Enterprises and firms (Eurostat/OECD definitions) Update cadence Continuous (every new model release) Quarterly review, annual data refresh Primary source Live model API benchmarking Eurostat, OECD, StatCan, BTOS, ONS Latest update Updated continuously through 2026 GAIAI v1.5 — 26 June 2026 Source: [Artificial Analysis](https://artificialanalysis.ai/) for model-capability index. The two indexes are complementary — model capability and enterprise adoption are independent variables in the 2026 AI strategy stack. ### EU enterprise AI adoption — full year-by-year trajectory (2018–2025) Year EU enterprise AI adoption YoY change Notes 2018 ~6% — First Eurostat AI-in-enterprises pilot survey 2020 7% +1 pp Limited NACE coverage; methodology evolving 2021 8% +1 pp First "marketing or sales" sub-category published 2023 8.0% Stable First post-pandemic harmonised year 2024 13.48% +5.48 pp Generative AI question added to questionnaire 2025 19.95% +6.47 pp Latest official release Source: Eurostat [isoc\_eb\_ai](https://ec.europa.eu/eurostat/databrowser/view/isoc_eb_ai/default/table) historical series; pre-2023 values reflect methodology evolution and should be read as trend indicators rather than directly comparable annual rates. ### How many people use AI globally — the user-level view Searches like _"how many people use ai worldwide 2026"_, _"number of ai users worldwide 2026"_, _"ai adoption rate global population 2026"_ reach for a user-level rather than an enterprise-level measure. Best available 2025/2026 estimates: - **~800 million weekly ChatGPT users** reported by OpenAI in 2025 — the most-cited single AI product user count. \[[OpenAI](https://openai.com/index/)\] - **OECD individuals using AI** rose from 19% (2023) to 28% (2024) to roughly 37% (2025) per the OECD January 2026 announcement — averaged across OECD member countries. \[[OECD 2026](https://www.oecd.org/en/about/news/announcements/2026/01/ai-use-by-individuals-surges-across-the-oecd-as-adoption-by-firms-continues-to-expand.html)\] - **Statista estimate**: roughly 314 million AI users worldwide in 2024, projected to 730 million by 2030 — a vendor estimate, not an official figure. \[[Statista Outlook 2024](https://www.statista.com/outlook/tmo/artificial-intelligence/worldwide)\] - **The number of AI researchers worldwide** exceeded 130,000 publication-active researchers in 2024 per the Stanford HAI AI Index 2025, with China and the U.S. contributing the largest absolute counts. - **Generative AI models in production**: Stanford HAI catalogued 51 notable AI models released in 2024 — up from 33 in 2023 — across language, multimodal, and image categories. ### AI innovation and policy news — leading countries (February–June 2026) The single highest-impression query in this report's search profile is _"ai innovation and policy news leading countries february 2026"_. The 2026 policy timeline that matters for adoption decisions: Date Jurisdiction Policy Event 12 Jul 2024 EU EU AI Act published in Official Journal (Regulation 2024/1689) 2 Feb 2025 EU EU AI Act prohibitions on unacceptable-risk AI enter into force 10–11 Feb 2025 France Paris AI Action Summit; 60 countries sign declaration on inclusive AI 2 Aug 2025 EU EU AI Act general-purpose AI (GPAI) obligations begin Jan 2026 U.S. Federal AI Action Plan published; reaffirms voluntary commitments Feb 2026 UK AI Safety Institute renamed AI Security Institute; broader remit Feb 2026 India DPDP Act implementation rules issued — first AI-relevant data protection regime in major emerging market Mar 2026 Japan AI Promotion Act passed in Diet (世界初のソフトロー型 AI 法) Apr 2026 G7 G7 Italy AI Summit follow-up; Hiroshima Process Code of Conduct refresh May 2026 Australia Voluntary AI Safety Standard moves toward mandatory guardrails for high-risk use 2 Aug 2026 EU EU AI Act high-risk system obligations enter into force (planned) 2026 H2 South Korea Basic AI Act provisions begin (passed Dec 2024) Sources: [EU AI Act (Reg 2024/1689)](https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng); [OECD AI Policy Observatory](https://oecd.ai/); [UK AI Action Plan](https://www.gov.uk/government/publications/ai-opportunities-action-plan); [Paris AI Action Summit declaration](https://www.elysee.fr/en/emmanuel-macron/2025/02/11/ai-action-summit). Operator's read (June 2026): If you are an enterprise board, treat the EU/OECD ~20% rate as the integrated-adoption baseline and the 70–78% self-report number as the awareness ceiling. The competitive gap for the next 24 months is between firms that have moved past pilot to value-capturing deployment (≈25% per BCG) and the rest. For SMEs the structural gap to large firms (38 pp in the EU) is widening, not narrowing — the 2025 acceleration was disproportionately captured by large firms with internal expertise. ## Definitions and Scope **The Global AI Adoption Index 2026** is a reproducible, desk-research-based, cross-geography benchmark that measures enterprise and SME AI adoption and adoption-adjacent operational readiness using only publicly accessible sources. ### Core Entity Definitions Term Definition in This Report Artificial Intelligence (AI) Refers to the operational definitions used by each official source. Eurostat operationalizes AI as use of listed technologies including text mining, speech recognition, NLG, machine learning, and AI-based automation. Enterprise / firm / business Treated as defined by each statistical system. Eurostat uses enterprise units with 10+ employees. U.S. BTOS covers nonfarm employer businesses. Adoption / use Source-specific. U.S. BTOS: use in prior two weeks. Canada: over the last 12 months. Eurostat: used at least one AI technology. SME Not universal. Eurostat small = 10–49 employees; medium = 50–249; large = ≥250. Implementation vs pilot ONS defines "adopters" as firms using AI as part of methods/processes, distinguishing from testing. Other systems do not make this distinction explicitly. ### Measurement Time Windows Compared System Time Window Population Frame Statistical Maturity EU (Eurostat) "Used at least one AI technology" Enterprises 10+ employees Official OECD ICT Access & Usage framework Firms (country definitions vary) Official Canada (StatsCan) "Last 12 months" Businesses (CSBC) Official U.S. (Census BTOS) "Previous two weeks" Nonfarm employer businesses Experimental UK (ONS MES) "Used as part of methods/processes" MES survey frame In development Important: Different time windows (last 2 weeks vs last 12 months vs "used in year"), different population frames (10+ employees vs all employers), and different statistical maturity levels mean these measures are **not directly numerically comparable** without adjustment. GAIAI v1.0 presents them as a benchmark family. **Inclusions:** Official enterprise adoption statistics; official barrier/use-case distributions; official trend data. **Exclusions:** Private vendor adoption claims without transparent methodology; unsourced global "% of companies use AI" statements; non-public datasets. ### Verification Principle If a claim cannot be tied to a publicly accessible source with **publisher + publish date (when available) + access date**, it is excluded. Where computations are presented (e.g., "gap in percentage points"), they are arithmetic transforms of official published values, not new estimates. ## GAIAI Scoreboard (Core Indicators) The GAIAI Scoreboard compiles **20 core indicators** from official statistical systems. Each metric includes confidence levels: High for official statistics, Medium-High for experimental/working paper sources, and Medium for projections based on reported plans. Teams translating these adoption numbers into action typically pair the scoreboard with an [AI strategy](/en/insights/what-is-ai-strategy) that maps use cases to firm-size realities, and align governance with [EU AI Act enterprise compliance preparation](/en/insights/eu-ai-act-compliance-guide) obligations that begin phasing in from August 2026. [Download CSV](/data/gaiai-scoreboard.csv)[Download JSON](/data/gaiai-scoreboard.json) 19.95% EU Enterprise Adoption 20.2% OECD Firm Adoption 38 pp EU Size Gap 70.9% Skills Barrier (#1) Indicator Value Year Geography Confidence Enterprise AI adoption rate 19.95% 2025 EU High Large-enterprise AI adoption 55.03% 2025 EU High Small-enterprise AI adoption 17.00% 2025 EU High Medium-enterprise AI adoption 30.36% 2025 EU High Most used AI tech type 11.75% text mining 2025 EU High Top AI use purpose (adopters) 34.70% marketing/sales 2025 EU High AI pipeline: 'considered using' 14.21% 2025 EU High Top barrier (EU considerers) 70.89% lack expertise 2025 EU High Firm AI adoption rate 20.2% 2025 OECD High Firm AI adoption trend 8.7% → 14.2% → 20.2% 2023–25 OECD High Large vs small firm adoption 52.0% vs 17.4% 2025 OECD Medium-High ICT sector adoption 57.3% 2025 OECD High Prof. services sector adoption 36.8% 2025 OECD High Business AI use (last 12 months) 12.2% 2025 Canada High Canada AI pipeline (plans) 14.5% Q3 2025 Canada High Canada non-adoption majority 66.7% Q3 2025 Canada High U.S. high-frequency AI usage 5.4% 2024 United States Medium-High U.S. expected AI use 6.6% Fall 2024 United States Medium-High UK firm AI adoption 9% 2023 United Kingdom High UK projected adoption (plans) 22% 2024 United Kingdom Medium Interpretation GAIAI v1.0 is a **benchmark family**, not a single global adoption rate. EU/OECD systems show ~20% adoption, but this reflects broader definitions and longer reference periods than the U.S. BTOS (5.4%, two-week window). The **38-point EU size gap** (large vs small) and the **70.89% skills barrier** are the most actionable findings for policy and strategy. Closing the skills gap is fundamentally an [AI change management](/en/insights/ai-change-management) problem, and quantifying progress requires an [AI consulting success metrics and KPIs](/en/insights/ai-measurement-framework) layer on top of the scoreboard. For large enterprises operationalising these findings, a [phased implementation roadmap with milestones for generative AI](/en/insights/generative-ai-strategy-guide) converts benchmark deltas into sequenced initiatives, while risk owners should map [main security risks of GenAI adoption in enterprises](/en/insights/generative-ai-risks-enterprise) against the same firm-size profile. ## Adoption Levels and Growth Trajectories Official statistical systems show consistent acceleration in enterprise AI adoption across all major economies measured. ### Global AI Adoption At A Glance Five official statistical systems, latest available data 🇪🇺 EU 19.95% 2025 +6.47 pp 🌐 OECD 20.2% 2025 2.3× since '23 🇨🇦 Canada 12.2% Q2 2025 2× YoY 🇺🇸 USA 5.4% Feb 2024 +46% in 5mo 🇬🇧 UK 9% 2023 →22% planned ⚠️ These rates use different definitions, time windows, and population frames — they are **not directly comparable**. See Verification Notes for details. ### EU Enterprise AI Adoption Trend % of EU enterprises (10+ employees) using AI technologies Source: Eurostat Statistics Explained. +6.47 pp acceleration in 2024→2025. ### OECD Firm AI Adoption Trend % of firms reporting AI use, 2023–2025 Source: OECD ICT Access & Usage Database, Jan 2026 announcement ### AI Adoption by Geography Latest official enterprise/firm adoption rates (not directly comparable) ⚠️ Different time windows and definitions — see Verification Notes ### Cross-Geography Adoption Comparison Geography Latest Rate Year Previous Growth Source European Union 19.95% 2025 13.5% (2024) +6.47 pp [Eurostat](https://ec.europa.eu/eurostat/statistics-explained/index.php?oldid=568530) OECD 20.2% 2025 8.7% (2023) +132% [OECD](https://www.oecd.org/en/about/news/announcements/2026/01/ai-use-by-individuals-surges-across-the-oecd-as-adoption-by-firms-continues-to-expand.html) Canada 12.2% Q2 2025 6.1% (Q2 2024) +100% [StatCan](https://www150.statcan.gc.ca/n1/pub/11-621-m/11-621-m2025011-eng.htm) United States 5.4% Feb 2024 3.7% (Sep 2023) +46% [Census](https://www.census.gov/hfp/btos/downloads/CES-WP-24-16.pdf) United Kingdom 9% 2023 — — [ONS](https://www.ons.gov.uk/economy/economicoutputandproductivity/productivitymeasures/articles/managementpracticesandtheadoptionoftechnologyandartificialintelligenceinukfirms2023/2025-03-24) Key Insight: All five systems show acceleration, but levels are **not directly comparable** due to different time windows (EU: "used at least one AI technology"; US BTOS: "previous two weeks"; Canada: "last 12 months"). The EU and OECD show the highest rates (~20%), reflecting broader definitions and longer reference periods. ## Size Divide and SME Diffusion Two independent official systems highlight large SME–large gaps. "Mainstream" diffusion is primarily an **SME enablement challenge**. ### Enterprise AI Adoption by Size Class EU (Eurostat) vs OECD, 2025 — 38 pp gap between large and small - EU (Eurostat) - OECD Source: Eurostat 2025, OECD Jan 2026 announcement. OECD medium not separately reported. ### Enterprise AI Adoption by Size Class Size Class EU (Eurostat) OECD Gap vs Large Large enterprises 55.03% 52.0% — Medium enterprises 30.36% — −24.7 pp (EU) Small enterprises 17.00% 17.4% −38 pp (EU) / −34.6 pp (OECD) These gaps imply that "mainstream" diffusion is primarily an SME enablement challenge. Without targeted interventions — accessible tools, structured training, and governance frameworks scaled for smaller organizations — the adoption divide will widen. U.S. size patterns: Census BTOS research also examines size-class effects, suggesting possible non-linear ("U-shaped") patterns where very small and very large firms may exhibit different adoption dynamics than mid-size businesses. Further BTOS releases may clarify this pattern. ## Use-Case, Technology Mix, and Sector Concentration Eurostat's EU-wide technology-type distribution indicates that **language/data processing dominates** early AI adoption, and OECD data reveals strong **sectoral concentration** in ICT and professional services. ### AI Technology Types Used (EU Enterprises) % of all EU enterprises (10+ employees), 2025 Source: Eurostat 2025. Text mining leads at 11.75%; generative media tools follow. ### Purpose of AI Use Among EU Adopters % of AI-using enterprises by use case, 2025 Source: Eurostat 2025. Denominator: enterprises using AI technologies. ### OECD AI Adoption by Sector % of firms using AI by industry, 2025 Source: OECD Jan 2026 announcement ### AI Technology Types Used (EU Enterprises, 2025) Technology Type Share of Enterprises Text mining / NLP 11.75% Image/video/audio generation Prominent (Eurostat detail) NLG / speech synthesis Prominent (Eurostat detail) Machine learning Listed (Eurostat AI technology list) AI-based automation Listed (Eurostat AI technology list) ### Purpose of AI Use Among EU Adopters (2025) Purpose Share of AI-Using Enterprises Marketing or sales 34.70% Business administration / management 31.05% ### OECD Sector Breakdown (2025) Sector AI Adoption Rate Implication ICT 57.3% Highest-adopting sector; AI-native tools widely used Professional / scientific services 36.8% Knowledge-intensive; NLP/analytics applications Other sectors <20% Diffusion to lagging sectors is the key frontier Canada application mix: Canada's planned application data shows **virtual agents/chatbots** and **AI analytics** as leading expected application classes among businesses planning to adopt AI, indicating similar patterns across North America. Among Canadian businesses already using AI, common operational responses include **staff training**, **workflow adjustments**, and **cloud infrastructure purchases**. ## Barriers and Governance-Adjacent Constraints Across EU, UK, and Canadian measurement, the highest-frequency barriers are **not purely financial**. Skills, legal clarity, and perceived relevance dominate — but the **specific #1 barrier differs by market**. ### #1 Barrier to AI Adoption by Geography Different markets face different primary constraints 🇪🇺 EU — Lack of expertise 70.89% Among enterprises that considered AI but did not adopt 🇨🇦 Canada — "AI not relevant" 78.1% Among businesses with no plans to adopt AI 🇬🇧 UK — Difficulty identifying use cases 39% Among all firms surveyed by ONS MES Sources: Eurostat 2025, Statistics Canada Q3 2025, UK ONS MES 2023. ⚠️ Denominators differ across surveys — see Verification Notes. ### Barrier Comparison Across Official Systems Geography #1 Barrier #2 Barrier #3 Barrier Source EU Lack of expertise (70.89%) Legal clarity / consequences Data protection / privacy Eurostat UK Identifying use cases (39%) Cost (21%) AI expertise / skills (16%) ONS Canada "AI not relevant" (78.1%) Lack of knowledge Privacy / security concerns StatCan Cross-System Pattern: The barrier taxonomy reveals that **adoption constraints are not purely financial**. Skills/expertise (EU), use-case identification (UK), and perceived relevance (Canada) consistently rank above cost. This implies that policy interventions and vendor strategies should prioritize **capability building**, **use-case demonstration**, and **relevance framing** — not just subsidy or cost reduction. ## Adoption Pipeline and Forward Indicators Official sources reveal a significant pool of enterprises at the "consideration" or "planning" stage — a measurable **conversion pipeline** that, if activated, could substantially increase measured adoption. ### Canada AI Adoption Pipeline (Q2–Q3 2025) StatsCan business survey: current use, planned use, and non-adoption 12.2% Currently using AI 14.5% Plan to use (next 12mo) 66.7% No plans to adopt Using Planning No plans Uncertain Source: Statistics Canada, Canadian Survey on Business Conditions, Q2–Q3 2025 ### Forward Indicators Across Systems Indicator Value Geography Source Enterprises that "considered using AI" 14.21% EU Eurostat 2025 Businesses planning to use AI (next 12mo) 14.5% Canada StatCan Q3 2025 Expected AI use (early Fall 2024) 6.6% United States Census BTOS Projected adoption based on plans 22% United Kingdom ONS MES 2024 projection Pipeline Insight: Forward indicators consistently show that a significant pool of enterprises is at the "consideration" stage. In the EU, 14.21% of non-adopters have _considered_ AI — a conversion pool that, if activated, could substantially increase measured adoption in 2026. This report treats "considered using" and "plans to use" as **pipeline indicators**, kept separate from realized adoption to avoid mixing intent with behavior. ## Governance Environment and Compliance Signals Regulatory and standards milestones shape enterprise decision-making, even though governance frameworks are not yet consistently measurable as adoption statistics. Enterprises face accountability pressures (regulatory, customer, investor), and standards create common control language. ### Key Governance Frameworks Framework Publisher Date Scope Type [EU AI Act](https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng) European Union Jul 2024 Binding regulation; risk-based approach Binding regulation [NIST AI RMF 1.0](https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-ai-rmf-10) NIST (U.S.) Jan 2023 Voluntary, cross-sector framework Voluntary framework [ISO/IEC 42001](https://www.iso.org/standard/42001) ISO Dec 2023 AI management system requirements International standard [NIST GenAI Profile](https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.600-1.pdf) NIST (U.S.) Jul 2024 Companion resource for generative AI risks Companion profile [OECD AI Principles](https://oecd.ai/assets/files/OECD-LEGAL-0449-en.pdf) OECD May 2019 Intergovernmental AI principles Recommendation [UNESCO AI Ethics](https://unesdoc.unesco.org/ark%3A/48223/pf0000381137) UNESCO Nov 2021 Member-state ethics recommendation Recommendation [Hiroshima Process](https://www.mofa.go.jp/files/100573471.pdf) G7 / Japan MOFA Oct 2023 G7 guiding principles for AI G7 principles Note: ISO/IEC 42001 certificate counts are not yet published as a stable global adoption indicator. The standard exists (published Dec 2023), but globally comparable AI management system certification metrics remain in development. The ISO Survey now redirects to IAF CertSearch for certification data. ## Outlook Scenarios (2026–2028) **Important:** Scenarios are _projections_ (not forecasts) derived from observed official trends and known policy/measurement trajectories. No unsourced numeric forecasts are introduced. 🟢 #### Accelerated Diffusion If SME capability gaps are addressed SME adoption rises faster due to expanded low-cost tool availability, stronger training uptake, and clearer governance tooling. Consistent with the observation that a large fraction of non-adopters cite capability/skills and use-case clarity — targeted interventions could amplify adoption. Drivers: EU 14.21% "considered using" pool activates; Canada 14.5% planning pool converts; UK use-case identification support scales. 🔵 #### Baseline Continuation Current trajectory persists Adoption continues rising in EU/OECD systems but remains uneven, with SMEs lagging. Barriers remain primarily skills/use-case identification and relevance. EU adoption at 19.95% and OECD firms at 20.2% provide the starting baseline. Expected: EU Eurostat planned update December 2026; OECD refresh tied to ICT Access and Usage Database; StatCan quarterly CSBC modules. 🔴 #### Constrained Adoption If barriers persist or intensify Adoption growth slows as organizations encounter ROI uncertainty, governance burden, or capability constraints. Official barrier data show persistent constraints — expertise shortages and legal/privacy uncertainty in the EU; relevance and knowledge gaps in Canada. Risk factors: EU AI Act compliance costs disproportionately affect SMEs; skills shortage (70.89%) remains unaddressed; Canada 78.1% "not relevant" perception persists. ## Verification Notes ### Conflicts and Non-Comparabilities #### Different adoption questions and time windows U.S. BTOS measures use in the **previous two weeks** (3.7% Sep 2023 → 5.4% Feb 2024). Canada's CSBC measures use over the **last 12 months** (12.2% Q2 2025). EU Eurostat measures whether enterprises used at least one listed **AI technology** (19.95% in 2025). These are not directly numerically comparable without adjustment. #### Different population frames Eurostat uses **enterprises with 10+ employees and self-employed persons** with specified coverage of economic activities; size classes defined as small (10–49), medium (50–249), large (≥250). The U.S. BTOS is representative of all **nonfarm employer businesses** with additional exclusions and design features. UK ONS uses the Management and Expectations Survey frame. #### "Statistics in development / experimental" status UK ONS describes its MES as **official statistics in development**. U.S. BTOS is positioned as an experimental product family. Confidence is high but not equivalent to long-established annual surveys. #### Conflicting adoption levels across surveys Different definitions yield different rates. This report maintains **multiple sources** to explain definitional differences rather than cherry-picking a single "global rate." The GAIAI benchmark family approach avoids false precision. ### Confidence Scoring Rationale Level Criteria Sources High Official statistical agencies with clear numeric values and definitions Eurostat, OECD announcement, Statistics Canada Medium-High Official but "experimental/working paper" sources or where thresholds not fully specified U.S. Census BTOS working paper, OECD size-class shares Medium Projections based on reported plans, not realized adoption UK ONS MES projected adoption ### Data Gaps - **Global coverage gap:** Official firm-level AI adoption statistics are concentrated in OECD/EU systems. Many countries do not publish comparable ICT/AI business usage series. - **Governance maturity gap:** Globally comparable "enterprise AI governance maturity" metrics are not yet published as standardized official datasets specific to AI. - **Sector granularity:** OECD reports top sectors (ICT 57.3%, professional services 36.8%), but deeper NACE/NAICS-level analysis requires dataset-level access not available in press releases. - **Global South gap:** Evidence from Microsoft's AI Diffusion report suggests geographic divides in genAI usage, but this is a secondary source and not comparable to official enterprise adoption measures. - **Uncertainty quantification:** Sample sizes and standard errors are available for some sources (Census working paper, StatCan methodology) but not consistently published across all systems. ## Data Dictionary (GAIAI-CI v1.0) The GAIAI-CI v1.0 dataset follows a consistent schema designed for reproducible ingestion and future updates. All fields are documented below. Field Type Description metric\_name string Stable identifier (snake\_case) for the indicator value number Numeric value (float) unit string Unit descriptor (e.g., percent\_of\_enterprises) year integer Reference year (or year of the reference period) geography string Geographic scope (EU, OECD, Canada, US, UK) definition string Indicator definition + denominator source\_url string Public URL to primary publisher page publisher string Publishing organization publish\_date string Publication date if available (ISO 8601 or descriptive) accessed\_date string Access date used for reproducibility notes string Known caveats (time window, denominator subsets, experimental status) confidence string Qualitative confidence (High / Medium-High / Medium / Low) Versioning: GAIAI follows semantic versioning. Minor versions (1.1, 1.2) add indicators or update values within the same framework. Major versions (2.0) indicate structural changes to indicators, definitions, or systems covered. The canonical URI scheme is: `alicelabs.ai/reports/global-ai-adoption-index-{year}` ### Update Cadence System Expected Refresh Cadence EU (Eurostat) December 2026 (planned article update noted by Eurostat) Annual OECD Announcement tied to ICT Access and Usage Database refresh Annual Canada (StatsCan) New CSBC AI modules/analyses Quarterly cycles observed U.S. (Census BTOS) Quarterly rollups from BTOS outputs Biweekly underlying; quarterly analysis UK (ONS) Next MES wave or ONS release schedule Periodic ## Frequently Asked Questions #### What is the global AI adoption rate in 2025? There is no single global AI adoption rate. The most comprehensive official measures show: **19.95%** of EU enterprises (Eurostat, 2025), **20.2%** of OECD firms (OECD, 2025), **12.2%** of Canadian businesses (Statistics Canada, Q2 2025), **5.4%** of U.S. firms (Census BTOS, Feb 2024), and **9%** of UK firms (ONS, 2023). These are not directly comparable due to different definitions and time windows. #### Why are AI adoption rates so different across countries? Different statistical systems measure different things: the U.S. BTOS asks about AI use in the **previous two weeks**, Canada asks about **the last 12 months**, and Eurostat asks whether enterprises used **at least one listed AI technology**. Broader definitions and longer time windows produce higher reported rates. Population frames also differ (enterprises 10+ employees vs all employers). #### What is the biggest barrier to AI adoption? The #1 barrier varies by market. In the **EU**, 70.89% of enterprises that considered AI cite lack of expertise. In **Canada**, 78.1% of non-planners say AI is "not relevant." In the **UK**, 39% of firms struggle to identify appropriate use cases. Skills, relevance perception, and use-case identification are consistently the top barriers across systems. #### How large is the SME–large enterprise AI adoption gap? In the EU, **55.03%** of large enterprises use AI vs **17%** of small enterprises — a gap of approximately **38 percentage points**. The OECD shows a similar pattern: 52.0% large vs 17.4% small (34.6 pp gap). This size divide is the most consistent structural finding across official systems. #### Which industries have the highest AI adoption? OECD data (2025) shows **ICT firms at 57.3%** adoption and **professional/scientific services at 36.8%**. Eurostat data confirms that marketing/sales (34.70%) and business administration (31.05%) are the most common use cases among AI-adopting EU enterprises. Lagging sectors remain well below 20%. #### What is the GAIAI dataset and how can I use it? GAIAI-CI v1.0 is a machine-readable dataset containing **20 core indicators** from five official statistical systems. It is available in CSV and JSON formats for download. Each indicator includes the metric name, value, unit, year, geography, definition, source URL, publisher, and confidence level. The dataset is designed for reproducible analysis and benchmarking. License: CC BY 4.0. #### How fast is AI adoption growing? OECD firm AI adoption more than **doubled in two years**: 8.7% (2023) → 14.2% (2024) → 20.2% (2025). EU enterprise adoption rose **6.47 pp in one year** (13.5% to 19.95%). Canada saw a **100% year-over-year increase** (6.1% to 12.2%). All major official systems show consistent acceleration. #### How does this index compare to McKinsey or other surveys? GAIAI v1.0 relies **exclusively on official statistical sources** (Eurostat, OECD, Statistics Canada, U.S. Census Bureau, UK ONS) — not private vendor surveys. Private surveys (McKinsey, Microsoft, etc.) are referenced only as secondary context. This ensures reproducibility, transparency, and traceability to publicly accessible data. #### When will the next GAIAI update be published? GAIAI follows a **quarterly review / semi-annual update** cadence. EU data refreshes annually (Eurostat planned update: December 2026). OECD updates are tied to ICT Access and Usage Database releases. Canada's StatCan publishes quarterly. The next GAIAI minor version update is expected when new Eurostat or OECD data becomes available. #### How should I cite this report? APA: Alice Labs Research (2026). Global AI Adoption Index 2026. Alice Labs. Version 1.0. https://alicelabs.ai/reports/global-ai-adoption-index-2026. See the "Cite This Report" section for BibTeX and MLA formats. #### What are the latest enterprise AI adoption statistics for 2026? As of the Q2 2026 update, the most recent official enterprise AI adoption figures are: **Eurostat 19.95% of EU enterprises (2025)**, **OECD 20.2% of firms (2025)**, and **Statistics Canada 12.2% of businesses (Q2 2025)**. Self-report executive surveys for 2026 strategy briefings report higher numbers: **Stanford HAI AI Index 2025** shows 78% of organizations using AI in at least one function, and **McKinsey State of AI 2025** shows 71% generative AI use. The two ranges measure different things — official surveys measure integrated business use, executive surveys include any AI exposure. #### Which countries lead the global AI ranking in 2026? Stanford HAI's 2025 Global AI Vibrancy ranking places the **United States 1st**, **China 2nd**, and the **United Kingdom 3rd**, with Germany, France, and the Nordic cluster as the leading EU contributors to OECD firm-adoption aggregates. On enterprise adoption alone, the EU at 19.95% and OECD at 20.2% are within rounding distance, while the US BTOS (5.4%) reports a much lower figure because it asks about AI use in the previous two weeks — a deliberately narrow window. See the Q2 2026 Update chapter for the full country table and 2026 policy signals. #### What are AI adoption rates by industry in 2025–2026? OECD ICT Access & Usage 2025 reports: **ICT 57.3%**, **professional/scientific/technical services 36.8%**, **finance & insurance ~28%**, **manufacturing ~18%**, **retail/wholesale ~15%**, and **construction, accommodation and transportation under 10%**. Manufacturing is the fastest-moving lagging sector in 2026, driven by generative AI in maintenance, quality control, and engineering documentation. See the Q2 2026 Update chapter for the full sector table. #### How fast is AI growth in 2025–2026? Official systems show measured acceleration: OECD firm adoption went **8.7% → 14.2% → 20.2%** over 2023→2025 (132% growth in two years), Eurostat went **13.5% → 19.95%** in one year (+6.47 pp), and Statistics Canada went **6.1% → 12.2%** year-over-year. Self-report executive surveys (McKinsey, Stanford HAI) report sharper acceleration because they capture lighter-touch and individual-tool use. Both views agree on the direction; the disagreement is on the depth of integration. #### Is there a 2026 enterprise AI adoption survey report I can download? Yes. The **GAIAI-CI v1.0 dataset** (CSV and JSON) covers 20 official indicators from Eurostat, OECD, Statistics Canada, U.S. Census BTOS, and UK ONS and is downloadable from the Scoreboard section above. For private-survey 2026 reports, the most actively cited are **McKinsey State of AI 2025**, **Stanford HAI AI Index 2025**, and **BCG AI Radar 2025** — all linked in the Q2 2026 Update chapter. GAIAI is the official-statistics complement to those vendor surveys. #### What is the AI adoption rate by country in 2026? Country-level enterprise AI adoption rates in 2025/2026 (latest official figures): **Denmark 27.6%**, **Sweden 25.0%**, **Finland 24.7%**, **Belgium 24.7%**, **Netherlands 22.7%**, **Germany 20.0%**, **EU aggregate 19.95%**, **Canada 12.2%**, **France 10.4%**, **UK 9% (2023)**, **U.S. 5.4% (BTOS narrow window)**. Non-Eurostat measurements (Japan 42%, Korea 28%, Australia 39%, Singapore ~44%) use broader definitions and are not directly comparable. See the country deep-table for full sourcing. #### How fast is enterprise AI adoption growing into 2026? Across official systems, enterprise AI adoption roughly **doubled in 2024–2025**: OECD firms went from 8.7% (2023) to 20.2% (2025) — a 132% increase. EU enterprises went from 13.5% (2024) to 19.95% (2025) — a +6.47 pp jump. Canada doubled year-over-year (6.1% → 12.2%). This is the fastest two-year increase since AI-in-enterprise statistics began being collected. The 2026 forecast based on plans (UK ONS, Eurostat "considered using" signals) implies another 5–8 pp gain by end of 2026. #### What is the small business AI adoption rate in 2026? Small business AI adoption in 2025/2026: **U.S. small business (BTOS) ~5.7%** (Sep 2024), up from 4.2% a year earlier; **EU small enterprises (10–49 employees) 17%** per Eurostat 2025; **EU SMEs combined (10–249 employees) ~19%**; **UK SMEs ~15%** per DSIT 2024 update; **Turkey KOBİ (SMEs) ~7%** per TÜİK 2024. The most-cited official source for U.S. small business adoption is the U.S. Census Bureau's Business Trends and Outlook Survey, updated biweekly. The 38-percentage-point EU large-vs-small gap is the most consistent finding in SME adoption data. #### When will the Stanford AI Index 2026 be released? The **Stanford HAI AI Index 2026 is expected to be released in April 2026**, following the standing publication cadence (2024 edition launched April 2024; 2025 edition launched April 2025). Until April 2026, the most recent edition is the **Stanford HAI AI Index 2025**, which contains 12 chapters including Economy, Responsible AI, Policy, AI Agents, and the Global AI Vibrancy ranking. The 2026 edition is expected to add deeper agentic AI, public-sector AI, and AI compute/energy chapters. #### What is the Artificial Analysis Intelligence Index? The **Artificial Analysis Intelligence Index** (published by Artificial Analysis) tracks frontier LLM benchmark performance (MMLU, GPQA Diamond, HumanEval, AIME) and is updated continuously as new models are released. It measures _model capability_, not _enterprise adoption_. Our **Global AI Adoption Index (GAIAI)** by contrast measures enterprise adoption rates using official statistical sources. The two indexes are complementary: model capability and enterprise adoption are independent variables. #### What is the AI agent adoption rate in 2026? No official statistical agency measures AI agent adoption yet. The most-cited 2025/2026 baselines from industry surveys: **Gartner forecasts 33% of enterprise apps will include agentic AI by 2028** (from <1% in 2024); **Salesforce reports 63% of IT leaders piloting or deploying AI agents**; **PwC May 2025 found 79% of senior execs report AI agents being adopted**; **Capgemini found 10% already use agents and 82% plan to integrate within 1–3 years**. These are self-report surveys with wide methodological variation — treat them as directional, not as official adoption rates. #### What is the generative AI adoption rate in enterprises in 2026? Generative AI specific adoption in 2025/2026: **71% per McKinsey State of AI 2025** (self-report, regular use in at least one function); **~6.5% per Eurostat 2025** (official, "generates natural language/image/other content" sub-category of enterprise AI use); **8.4% per Statistics Canada Q2 2025** (official, among AI-using businesses); **67% piloting, 18% scaling per Deloitte State of GenAI Q4 2024**. The official statistical view (6–8%) is substantially lower than the self-report executive view (67–71%) because official surveys count integrated business-process use, while executive surveys count any reported genAI exposure including individual tool subscriptions. #### How much do enterprises spend on AI in 2026? **Worldwide AI spending is forecast to reach US $632 billion by 2028** per IDC, at a 29.0% five-year CAGR. **Gartner forecasts GenAI spending at US $644 billion in 2025**, a 76.4% increase over 2024 — with 80% of that spend on hardware. **U.S. private AI investment reached US $109.1 billion in 2024** per the Stanford HAI AI Index 2025, nearly 12x China's US $9.3 billion. **68% of CIOs plan to raise AI budgets in 2026** per Morgan Stanley Q1 2025 CIO Survey. #### What is the AI ROI rate for enterprises in 2026? Realized AI ROI varies sharply by use case: McKinsey 2024 found **~3.5x return for top-quartile use cases**, with **~50% of organizations reporting revenue uplift** and **~33% reporting cost reduction** in adopting functions. BCG's AI Radar 2025 found only **~25% of companies have captured significant value** from AI investments. For specific ROI benchmarks by use case (customer service, document processing, sales enablement), see Alice Labs' companion [AI Automation ROI Benchmark 2026](/reports/ai-automation-roi-benchmark-2026). #### What percentage of businesses are currently using AI? Depending on the measurement basis, the percentage of businesses using AI in 2025/2026 ranges from **5.4% (U.S. BTOS, narrow two-week window)** to **78% (Stanford HAI, self-report any function)**. The most defensible single number is **~20%**, anchored by both Eurostat (19.95%) and OECD (20.2%) — both measuring integrated enterprise use of at least one listed AI technology. For executive briefings, cite 20% as the integrated rate and ~75% as the self-report any-use rate; the gap between them is the addressable opportunity. #### How many people use AI worldwide in 2026? OECD reports that **~37% of individuals across OECD member countries used AI in 2025**, up from 28% in 2024 and 19% in 2023. **OpenAI reports ~800 million weekly ChatGPT users in 2025** — the largest single-product user count. Statista estimates roughly **314 million AI users worldwide in 2024**, projected to 730 million by 2030 (vendor estimate). These are user-level measures and should not be combined with the enterprise-level adoption rates elsewhere in this report. #### How many AI companies exist worldwide in 2026? The Stanford HAI AI Index 2025 counted **215 newly funded generative AI companies in 2024 alone**. Crunchbase tracked over 7,000 AI-tagged private companies globally as of early 2026. The 2026 Forbes AI 50 list of private AI companies includes Anthropic, OpenAI, xAI, Mistral, Glean, Harvey, Sierra, Writer, Scale AI, and Anysphere among others. There is no single canonical count — definitions of "AI company" vary widely. #### How many AI models exist worldwide in 2026? Hugging Face hosts **over 1.7 million AI models** on its hub as of early 2026 — though this counts every variant, fine-tune, and minor release. The Stanford HAI AI Index 2025 catalogued **51 notable AI models released in 2024**, up from 33 in 2023, across language, multimodal, and image-generation categories. The number of _frontier_ foundation models (GPT-5, Claude Opus 4.7, Gemini 2.5, Llama 4) remains in the low double digits. #### How many AI researchers are there worldwide in 2026? The Stanford HAI AI Index 2025 reports **over 130,000 publication-active AI researchers worldwide**, with China and the United States contributing the largest absolute counts. The global AI talent pool (including engineers and applied scientists, not only publishing researchers) is estimated at **~500,000–1 million practitioners** across LinkedIn-based estimates, though no official statistical agency publishes a harmonised count. #### What are the biggest barriers to enterprise AI adoption in 2026? Across official systems, the top three enterprise AI barriers in 2025/2026 are: **(1) skills/expertise shortage** — 70.89% of EU enterprises that considered AI cite this (Eurostat 2025); **(2) use-case identification difficulty** — 39% of UK firms (ONS 2023); **(3) perceived irrelevance** — 78.1% of Canadian non-planners (StatCan 2025). Cost is a meaningful but secondary barrier — 74.7% of EU large enterprises cite cost vs only ~30% of small enterprises (interesting size inversion). Privacy and legal uncertainty are rising in 2026 due to EU AI Act compliance preparation. #### Which countries are leading in AI policy and innovation in February 2026? February 2026 AI policy leadership: the **EU** entered the next phase of AI Act enforcement (GPAI obligations took effect August 2025; high-risk obligations land August 2026); the **U.S.** published its January 2026 federal AI Action Plan; the **UK** renamed its AI Safety Institute to AI Security Institute with broader remit; **France** hosted the February 2025 Paris AI Action Summit (60-country declaration); **India** issued DPDP Act implementation rules; **Japan** passed its world-first soft-law AI Promotion Act in March 2026; **South Korea's** Basic AI Act provisions begin H2 2026. China's Generative AI Measures (binding since August 2023) remain the most operationally enforced national AI regulation. #### Is AI adoption higher in Europe or the United States? On official measures, **EU enterprise AI adoption (19.95%, Eurostat 2025) is higher than the U.S. (5.4%, Census BTOS Feb 2024)** — but the comparison is misleading because the U.S. BTOS measures AI use in the _previous two weeks_, an intentionally narrow window. If U.S. AI use were measured on the EU's "used at least one AI technology in the year" basis, the rate would likely be in the 20–30% range. On _investment_ and _frontier model leadership_, the U.S. leads decisively: US $109.1 billion private AI investment in 2024 vs the EU's ~US $13 billion (Stanford HAI AI Index 2025). #### How is AI adoption measured by OECD economies? OECD measures firm AI adoption through the **ICT Access and Usage Database**, which harmonises national ICT survey data. The headline indicator is the share of firms that report using AI technologies (text mining, speech recognition, NLG, image recognition, machine learning, AI-based automation, autonomous decision-making, generative AI). For 2025, the OECD reports **20.2% of firms used AI**, up from 14.2% (2024) and 8.7% (2023). Sectoral breakdown shows ICT 57.3%, professional services 36.8%, manufacturing ~18%, with significant variation across member countries. #### What is the Japan AI adoption rate in 2026? Japan's Ministry of Internal Affairs and Communications (MIC) Communications White Paper 2024 reports **~42% of enterprises have introduced or are considering AI** — a broader definition than Eurostat's "used at least one AI technology." The Japan AI Promotion Act passed in March 2026 establishes the world's first soft-law AI regulatory framework. Active enterprise AI use (excluding "considering") is estimated at ~20–25%, roughly comparable to the OECD aggregate. #### What is the India AI adoption rate in 2026? India does not publish an official enterprise AI adoption rate. NASSCOM industry surveys report **~30–60% enterprise AI use depending on company size**, with large IT services firms exceeding 80%. The DPDP Act implementation rules (February 2026) provide the first AI-relevant data protection regime in a major emerging market. India ranks 5th globally in AI publications and 3rd in AI patent filings per the Stanford HAI AI Index 2025. #### What is the AI growth statistics 2025–2026 acceleration? The 2025–2026 AI growth acceleration is the steepest two-year curve since AI-in-business statistics began being collected: **OECD firms 8.7% → 20.2% (+132% in two years)**; **EU enterprises 8% (2023) → 19.95% (2025) (+150%)**; **Canadian businesses 6.1% → 12.2% (+100%)**; **Stanford HAI any-AI use 55% (2023) → 78% (2024) (+42%)**; **McKinsey genAI use 33% (early 2023) → 71% (2024) (+115%)**. Hardware capex is accelerating in parallel: Gartner forecasts +76.4% GenAI spending growth in 2025 vs 2024. #### How does the IBM Global AI Adoption Index 2026 compare to GAIAI? The **IBM Global AI Adoption Index** (most recent edition: 2024) is a self-report survey of large enterprises (1,000+ employees) by Morning Consult on IBM's behalf, reporting **42% AI deployment**. The **GAIAI (this report)** is a desk-research compilation of official enterprise AI statistics from Eurostat, OECD, Statistics Canada, U.S. Census BTOS, and UK ONS, reporting the 19.95–20.2% integrated rate. IBM's survey is useful for large-enterprise momentum signals; GAIAI is the authoritative source for cross-country official adoption rates. They are complementary, not duplicative. #### What is the AI tool adoption rate in 2026? Individual AI tool adoption (e.g., ChatGPT, Microsoft Copilot, Claude, Gemini) is much higher than enterprise integrated AI use: **~37% of OECD individuals used AI tools in 2025** (OECD 2026); **~800 million weekly ChatGPT users** (OpenAI 2025); **~83% of EU enterprises that use AI also use ChatGPT or a similar LLM** per Eurostat's 2025 sub-question. AI tool adoption among knowledge workers in the EU and US likely exceeds 60% in 2026, though no official statistical agency measures this directly. #### What percentage of enterprises have an AI strategy in 2026? Self-report executive surveys in 2025/2026: **PwC 2025 reports 49% of tech leaders say AI is fully integrated into core business strategy**; **Gartner reports 67% of organizations have an enterprise AI strategy**; **Deloitte State of GenAI Q4 2024 reports 25% of orgs have a clear genAI strategy**; **IBM 2024 reports 42% of large enterprises have deployed AI**. The official statistical view does not measure "strategy" — only use. For Alice Labs' structured approach to enterprise AI strategy, see [our AI strategy consulting](/en/ai-strategy). #### Is there an LLMS.txt adoption rate for 2026? **LLMS.txt adoption** (the proposed standard for declaring AI-readable site structure) is too new for official statistics. Based on community trackers and our own crawler data, <5% of the top 10,000 websites have published an llms.txt file as of June 2026. The adoption curve resembles robots.txt in 1996 — early stage. Note that "LLM-extractable content" as a broader concept (structured data, schema.org markup, clean HTML) has much higher de facto adoption thanks to existing SEO best practice. #### How do you benchmark AI adoption by department? The most-cited cross-system benchmark for AI adoption by department: **Marketing/sales 34.70%** (Eurostat 2025 — among EU AI-using enterprises); **Business administration 31.05%** (Eurostat); **Production processes 26.40%** (Eurostat); **Logistics 19.30%** (Eurostat); **Customer service 27%** (Statistics Canada 2025). McKinsey 2025 self-report by function: marketing/sales 65%, service operations 51%, software engineering 50%, product/service development 49%. Use Eurostat for the official integrated benchmark; use McKinsey for self-report functional spread. ## Glossary — Key Terms and Defined Concepts Definitions used in this report. Each term is anchored to a public source where possible. This glossary is also exposed as a schema.org DefinedTermSet so AI systems can extract individual term definitions. #### Artificial Intelligence (AI) Computer systems performing tasks that typically require human intelligence — including learning, reasoning, perception, and decision-making. In this report, AI is operationalised by each source: Eurostat lists 7 specific AI technologies (text mining, speech recognition, NLG, image recognition, machine learning, AI-based automation, autonomous decision-making). \[[OECD AI System Definition](https://www.oecd.org/digital/oecd-ai-system-definition.htm)\] #### Generative AI (GenAI) AI systems that produce new content — text, images, audio, code — typically based on large language models or diffusion models trained on broad data. Eurostat's 2025 sub-category defines it as systems that "generate natural language, image or other content." \[[Wikidata Q121264703](https://www.wikidata.org/wiki/Q121264703)\] #### Large Language Model (LLM) A type of foundation model trained on large text corpora to predict next tokens. Examples: GPT-5, Claude Opus 4.7, Gemini 2.5, Llama 4. LLMs underpin most generative AI enterprise deployments in 2025/2026. \[[Wikidata Q115305900](https://www.wikidata.org/wiki/Q115305900)\] #### AI Agent An AI system that autonomously executes multi-step tasks by planning, calling tools, and iterating toward a goal — typically built on an LLM with tool-use, memory, and a planning loop. Gartner forecasts 33% of enterprise apps will include agentic AI by 2028. #### Foundation Model A large model trained on broad data at scale that can be adapted to many downstream tasks. Coined by the Stanford CRFM in 2021. Examples include GPT, Claude, Gemini, Llama, and image models like Stable Diffusion. \[[Stanford CRFM](https://crfm.stanford.edu/)\] #### Enterprise (Eurostat definition) In Eurostat statistics, an enterprise with 10 or more employees. Sub-classes: small (10–49), medium (50–249), large (≥250). U.S. Census BTOS and Statistics Canada use slightly different size thresholds and population frames. #### SME (Small and Medium Enterprise) No universal definition. The EU/Eurostat definition: enterprises with 10–249 employees. The U.S. Small Business Administration uses size standards by NAICS code (often ≤500 employees). Turkey's KOBİ definition: ≤249 employees and ≤500 million TRY net sales. #### BTOS (Business Trends and Outlook Survey) U.S. Census Bureau biweekly survey of small businesses, including (since 2023) the question "Has this business used Artificial Intelligence (AI) in producing goods or services in the last two weeks?" The 5.4% Feb 2024 reading is from this survey. \[[U.S. Census BTOS](https://www.census.gov/hfp/btos/)\] #### EU AI Act Regulation (EU) 2024/1689 on artificial intelligence, published in the Official Journal on 12 July 2024. Establishes a risk-based regulatory framework for AI in the EU, with prohibitions effective February 2025, GPAI obligations from August 2025, and high-risk system obligations from August 2026. \[[EUR-Lex](https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng)\] #### ISO/IEC 42001:2023 International standard for AI management systems (AIMS), published December 2023. Provides requirements for organisations to establish, implement, and continually improve an AI management system. The first certifiable management-system standard for AI. \[[ISO/IEC 42001](https://www.iso.org/standard/42001)\] #### NIST AI RMF 1.0 U.S. NIST AI Risk Management Framework 1.0, published January 2023. Voluntary framework structured around four functions: Govern, Map, Measure, Manage. The GenAI Profile companion was added in July 2024. \[[NIST AI RMF](https://www.nist.gov/itl/ai-risk-management-framework)\] #### OECD AI Principles OECD Recommendation on Artificial Intelligence (OECD-LEGAL-0449), originally adopted May 2019 and updated May 2024. Five values-based principles (inclusive growth, human-centred values, transparency, robustness, accountability) plus five government recommendations. 47 adherents including all 38 OECD member countries. \[[OECD.AI](https://oecd.ai/)\] #### Global AI Vibrancy Ranking Stanford HAI's composite country-level ranking that combines indicators across R&D (papers, patents), economy (private investment, jobs), responsible AI, education, diversity, policy, and public opinion. The 2025 ranking placed the United States 1st, China 2nd, and the United Kingdom 3rd. \[[Stanford HAI](https://hai.stanford.edu/ai-index/)\] #### GAIAI (Global AI Adoption Index) This report's benchmark family — a set of 20+ official AI adoption indicators across five statistical systems (Eurostat, OECD, Statistics Canada, U.S. Census BTOS, UK ONS) plus the GAIAI-CI machine-readable dataset. Versioned semantically; current version 1.5 (June 2026). #### ICT Firm Firm classified under NACE Rev. 2 Section J (Information and Communication) or the equivalent NAICS code. OECD reports that 57.3% of ICT firms used AI in 2025 — the highest sectoral concentration in any official AI adoption series. #### CSBC (Canadian Survey on Business Conditions) Statistics Canada quarterly survey of Canadian businesses, including (since 2024) AI use and AI plans questions. The 12.2% Q2 2025 reading is from CSBC. \[[StatCan CSBC AI](https://www150.statcan.gc.ca/n1/pub/11-621-m/11-621-m2025011-eng.htm)\] #### MES (Management and Expectations Survey) UK Office for National Statistics survey on management practices and technology adoption, including AI use. The 9% UK firm AI adoption rate (2023) is from MES. \[[ONS](https://www.ons.gov.uk/)\] #### Percentage Point (pp) Arithmetic difference between two percentages. Eurostat's "EU AI adoption rose +6.47 pp" means 19.95% − 13.48%. Distinct from "percent change" (which would be +47.9%). This report uses pp consistently for percentage-point differences. #### CAGR (Compound Annual Growth Rate) Year-over-year growth rate that would produce the observed change over a multi-year period if compounded annually. IDC's 29.0% AI spending CAGR 2024–2028 means worldwide AI spending grows ~29% per year on a compounded basis. #### High-Risk AI System (EU AI Act) AI systems classified under EU AI Act Annex III (employment, education, critical infrastructure, law enforcement, migration, justice administration) or Annex I (product safety components). Subject to conformity assessment, risk management, data governance, transparency, human oversight, and accuracy/robustness obligations from 2 August 2026. #### GPAI (General-Purpose AI Model) An AI model that can be used for a wide variety of downstream tasks. Under the EU AI Act, GPAI providers face transparency, copyright, and (for systemic-risk models above 10^25 FLOPs training compute) systemic risk obligations from 2 August 2025. #### AIMS (AI Management System) A set of interrelated elements of an organisation to establish AI-related policies, objectives, and processes — as defined by ISO/IEC 42001:2023. Certifiable since late 2024; first enterprise AIMS certifications appeared in 2025. #### RAG (Retrieval-Augmented Generation) A technique that augments LLM responses with retrieved enterprise knowledge — typically by embedding documents into a vector database, retrieving relevant chunks at query time, and injecting them into the LLM prompt. The most-deployed enterprise GenAI pattern in 2025/2026 for knowledge-base, customer service, and document analysis use cases. #### AI Vibrancy A composite country-level metric of AI activity used by Stanford HAI's Global AI Vibrancy Tool, combining R&D, economy, infrastructure, responsible AI, and policy indicators. Different from enterprise adoption — a country can have high vibrancy with low enterprise adoption (and vice versa). #### Shadow AI Employee use of AI tools (typically ChatGPT, Claude, Copilot) without formal organisational sanction, governance, or visibility. A major driver of the gap between official integrated-use adoption rates (~20%) and self-report any-use rates (~75%). Microsoft 2024 Work Trend Index estimates ~75% of knowledge workers use shadow AI. ## How to cite this report The Global AI Adoption Index 2026 is freely citable. Use any of the four formats below depending on the citation style required by your publication or institution. The canonical URL is `https://alicelabs.ai/reports/global-ai-adoption-index-2026`. ### APA (7th edition) Ingemarsson, L. (2026, June 26). _Global AI Adoption Index 2026: Country rankings, enterprise adoption, and SME gaps_. Alice Labs. https://alicelabs.ai/reports/global-ai-adoption-index-2026 ### MLA (9th edition) Ingemarsson, Linus. "Global AI Adoption Index 2026: Country Rankings, Enterprise Adoption, and SME Gaps." _Alice Labs_, 26 June 2026, alicelabs.ai/reports/global-ai-adoption-index-2026. ### Chicago (author-date) Ingemarsson, Linus. 2026. "Global AI Adoption Index 2026: Country Rankings, Enterprise Adoption, and SME Gaps." Alice Labs. Last modified June 26, 2026. https://alicelabs.ai/reports/global-ai-adoption-index-2026. ### BibTeX @misc{alicelabs2026gaiai, author = {Ingemarsson, Linus}, title = {Global AI Adoption Index 2026: Country Rankings, Enterprise Adoption, and SME Gaps}, year = {2026}, month = {6}, day = {26}, publisher = {Alice Labs}, version = {1.5}, url = {https://alicelabs.ai/reports/global-ai-adoption-index-2026}, note = {Accessed: 2026-06-26} } ### Citing specific findings When citing a specific statistic, also cite the original primary source. Example pattern: "19.95% of EU enterprises used AI technologies in 2025 (Eurostat 2025, as compiled in Ingemarsson 2026)." ### Re-using charts and tables All tables and charts in this report are released under **CC BY 4.0** (attribution required). To reuse, include "Source: Alice Labs Global AI Adoption Index 2026, alicelabs.ai/reports/global-ai-adoption-index-2026" and a link back to the canonical URL. ### Author credentials - **Linus Ingemarsson** — Co-Founder, Alice Labs. [LinkedIn](https://www.linkedin.com/in/linus-ingemarsson/) · [Profile](https://alicelabs.ai/en/linus-ingemarsson). 15+ years building AI and data-engineering systems for enterprises; lead author of the GAIAI methodology. - **Eric Lundberg** (reviewer) — Co-Founder, Alice Labs. [LinkedIn](https://www.linkedin.com/in/eric-lundberg-3530451bb/) · [Profile](https://alicelabs.ai/en/eric-lundberg). Enterprise AI deployment and AI governance review. ### Updates since publication Version Date Summary 1.5 26 June 2026 Deep expansion: country deep table (21 countries), industry NACE breakdown, SME size analysis, generative AI specific table, AI agent baseline, AI spending/ROI, "why % varies 5x" gap, EU 2018–2025 trajectory, user-level view, AI policy timeline Feb–June 2026, 20 quotable stat callouts, 25-term glossary, 4 citation formats, schema.org Dataset / DigitalDocument / DefinedTermSet. 1.4 26 June 2026 Q2 2026 quarterly refresh: Stanford HAI 2025, OECD AI Index 2025, McKinsey 2025, BCG AI Radar 2025 integrated. Tables for 2025–2026 acceleration, industry breakdown, country/policy ranking. 1.0 17 February 2026 Initial release. 20 core indicators across 5 official statistical systems (EU, OECD, Canada, U.S., UK). Verification notes, data dictionary, 3 outlook scenarios, 10 FAQs, interactive charts, LLM-extractable summary block. ### Methodology and confidence intervals GAIAI v1.5 is a **desk-research compilation of official statistical sources**. No primary survey data is collected. Confidence levels follow GAIAI's qualitative scoring: - **High confidence** — official national or supranational statistical agencies (Eurostat, OECD, StatCan). - **Medium-High confidence** — official but experimental or working-paper sources (U.S. Census BTOS). - **Medium confidence** — projections based on reported plans (UK ONS "planned adoption"). - **Low confidence** — vendor surveys or media reporting cited for context only. Where Eurostat publishes sampling errors (typically ±0.3–0.8 pp at the EU aggregate level), this report cites the point estimate. Reproducibility is supported by the GAIAI-CI v1.0 machine-readable dataset (CSV/JSON) downloadable from the Scoreboard section. ## Frequently Asked Questions 41 answers · structured for AI Overviews ### What is the global AI adoption rate in 2025? There is no single global AI adoption rate. The most comprehensive official measures show: 19.95% of EU enterprises (Eurostat, 2025), 20.2% of OECD firms (OECD, 2025), 12.2% of Canadian businesses (Statistics Canada, Q2 2025), 5.4% of U.S. firms (Census BTOS, Feb 2024), and 9% of UK firms (ONS, 2023). These are not directly comparable due to different definitions and time windows. ### Why are AI adoption rates so different across countries? Different statistical systems measure different things: the U.S. BTOS asks about AI use in the previous two weeks, Canada asks about the last 12 months, and Eurostat asks whether enterprises used at least one listed AI technology. Broader definitions and longer time windows produce higher reported rates. Population frames also differ (enterprises 10+ employees vs all employers). ### What is the biggest barrier to AI adoption? The #1 barrier varies by market. In the EU, 70.89% of enterprises that considered AI cite lack of expertise. In Canada, 78.1% of non-planners say AI is "not relevant." In the UK, 39% of firms struggle to identify appropriate use cases. Skills, relevance perception, and use-case identification are consistently the top barriers across systems. ### How large is the SME–large enterprise AI adoption gap? In the EU, 55.03% of large enterprises use AI vs 17% of small enterprises — a gap of approximately 38 percentage points. The OECD shows a similar pattern: 52.0% large vs 17.4% small (34.6 pp gap). This size divide is the most consistent structural finding across official systems. ### Which industries have the highest AI adoption? OECD data (2025) shows ICT firms at 57.3% adoption and professional/scientific services at 36.8%. Eurostat data confirms that marketing/sales (34.70%) and business administration (31.05%) are the most common use cases among AI-adopting EU enterprises. Lagging sectors remain well below 20%. ### What is the GAIAI dataset and how can I use it? GAIAI-CI v1.0 is a machine-readable dataset containing 20 core indicators from five official statistical systems. It is available in CSV and JSON formats for download. Each indicator includes the metric name, value, unit, year, geography, definition, source URL, publisher, and confidence level. The dataset is designed for reproducible analysis and benchmarking. License: CC BY 4.0. ### How fast is AI adoption growing? OECD firm AI adoption more than doubled in two years: 8.7% (2023) → 14.2% (2024) → 20.2% (2025). EU enterprise adoption rose 6.47 pp in one year (13.5% to 19.95%). Canada saw a 100% year-over-year increase (6.1% to 12.2%). All major official systems show consistent acceleration. ### How does this index compare to McKinsey or other surveys? GAIAI v1.0 relies exclusively on official statistical sources (Eurostat, OECD, Statistics Canada, U.S. Census Bureau, UK ONS) — not private vendor surveys. Private surveys (McKinsey, Microsoft, etc.) are referenced only as secondary context. This ensures reproducibility, transparency, and traceability to publicly accessible data. ### When will the next GAIAI update be published? GAIAI follows a quarterly review / semi-annual update cadence. EU data refreshes annually (Eurostat planned update: December 2026). OECD updates are tied to ICT Access and Usage Database releases. Canada's StatCan publishes quarterly. The next GAIAI minor version update is expected when new Eurostat or OECD data becomes available. ### How should I cite this report? APA: Alice Labs Research (2026). Global AI Adoption Index 2026. Alice Labs. Version 1.0. https://alicelabs.ai/reports/global-ai-adoption-index-2026. See the "Cite This Report" section for BibTeX and MLA formats. ### What are the latest enterprise AI adoption statistics for 2026? As of the Q2 2026 update, the most recent official enterprise AI adoption figures are: Eurostat 19.95% of EU enterprises (2025), OECD 20.2% of firms (2025), and Statistics Canada 12.2% of businesses (Q2 2025). Self-report executive surveys for 2026 strategy briefings report higher numbers: Stanford HAI AI Index 2025 shows 78% of organizations using AI in at least one function, and McKinsey State of AI 2025 shows 71% generative AI use. The two ranges measure different things — official surveys measure integrated business use, executive surveys include any AI exposure. ### Which countries lead the global AI ranking in 2026? Stanford HAI's 2025 Global AI Vibrancy ranking places the United States 1st, China 2nd, and the United Kingdom 3rd, with Germany, France, and the Nordic cluster as the leading EU contributors to OECD firm-adoption aggregates. On enterprise adoption alone, the EU at 19.95% and OECD at 20.2% are within rounding distance, while the US BTOS (5.4%) reports a much lower figure because it asks about AI use in the previous two weeks — a deliberately narrow window. See the Q2 2026 Update chapter for the full country table and 2026 policy signals. ### What are AI adoption rates by industry in 2025–2026? OECD ICT Access & Usage 2025 reports: ICT 57.3%, professional/scientific/technical services 36.8%, finance & insurance ~28%, manufacturing ~18%, retail/wholesale ~15%, and construction, accommodation and transportation under 10%. Manufacturing is the fastest-moving lagging sector in 2026, driven by generative AI in maintenance, quality control, and engineering documentation. See the Q2 2026 Update chapter for the full sector table. ### How fast is AI growth in 2025–2026? Official systems show measured acceleration: OECD firm adoption went 8.7% → 14.2% → 20.2% over 2023→2025 (132% growth in two years), Eurostat went 13.5% → 19.95% in one year (+6.47 pp), and Statistics Canada went 6.1% → 12.2% year-over-year. Self-report executive surveys (McKinsey, Stanford HAI) report sharper acceleration because they capture lighter-touch and individual-tool use. Both views agree on the direction; the disagreement is on the depth of integration. ### Is there a 2026 enterprise AI adoption survey report I can download? Yes. The GAIAI-CI v1.0 dataset (CSV and JSON) covers 20 official indicators from Eurostat, OECD, Statistics Canada, U.S. Census BTOS, and UK ONS and is downloadable from the Scoreboard section above. For private-survey 2026 reports, the most actively cited are McKinsey State of AI 2025, Stanford HAI AI Index 2025, and BCG AI Radar 2025 — all linked in the Q2 2026 Update chapter. GAIAI is the official-statistics complement to those vendor surveys. ### What is the AI adoption rate by country in 2026? Country-level enterprise AI adoption rates in 2025/2026 (latest official figures): Denmark 27.6%, Sweden 25.0%, Finland 24.7%, Belgium 24.7%, Netherlands 22.7%, Germany 20.0%, EU aggregate 19.95%, Canada 12.2%, France 10.4%, UK 9% (2023), U.S. 5.4% (BTOS narrow window). Non-Eurostat measurements (Japan 42%, Korea 28%, Australia 39%, Singapore ~44%) use broader definitions and are not directly comparable. See the country deep-table for full sourcing. ### How fast is enterprise AI adoption growing into 2026? Across official systems, enterprise AI adoption roughly doubled in 2024–2025: OECD firms went from 8.7% (2023) to 20.2% (2025) — a 132% increase. EU enterprises went from 13.5% (2024) to 19.95% (2025) — a +6.47 pp jump. Canada doubled year-over-year (6.1% → 12.2%). This is the fastest two-year increase since AI-in-enterprise statistics began being collected. The 2026 forecast based on plans (UK ONS, Eurostat "considered using" signals) implies another 5–8 pp gain by end of 2026. ### What is the small business AI adoption rate in 2026? Small business AI adoption in 2025/2026: U.S. small business (BTOS) ~5.7% (Sep 2024), up from 4.2% a year earlier; EU small enterprises (10–49 employees) 17% per Eurostat 2025; EU SMEs combined (10–249 employees) ~19%; UK SMEs ~15% per DSIT 2024 update; Turkey KOBİ (SMEs) ~7% per TÜİK 2024. The most-cited official source for U.S. small business adoption is the U.S. Census Bureau's Business Trends and Outlook Survey, updated biweekly. The 38-percentage-point EU large-vs-small gap is the most consistent finding in SME adoption data. ### When will the Stanford AI Index 2026 be released? The Stanford HAI AI Index 2026 is expected to be released in April 2026, following the standing publication cadence (2024 edition launched April 2024; 2025 edition launched April 2025). Until April 2026, the most recent edition is the Stanford HAI AI Index 2025, which contains 12 chapters including Economy, Responsible AI, Policy, AI Agents, and the Global AI Vibrancy ranking. The 2026 edition is expected to add deeper agentic AI, public-sector AI, and AI compute/energy chapters. ### What is the Artificial Analysis Intelligence Index? The Artificial Analysis Intelligence Index (published by Artificial Analysis) tracks frontier LLM benchmark performance (MMLU, GPQA Diamond, HumanEval, AIME) and is updated continuously as new models are released. It measures model capability, not enterprise adoption. Our Global AI Adoption Index (GAIAI) by contrast measures enterprise adoption rates using official statistical sources. The two indexes are complementary: model capability and enterprise adoption are independent variables. ### What is the AI agent adoption rate in 2026? No official statistical agency measures AI agent adoption yet. The most-cited 2025/2026 baselines from industry surveys: Gartner forecasts 33% of enterprise apps will include agentic AI by 2028 (from <1% in 2024); Salesforce reports 63% of IT leaders piloting or deploying AI agents; PwC May 2025 found 79% of senior execs report AI agents being adopted; Capgemini found 10% already use agents and 82% plan to integrate within 1–3 years. These are self-report surveys with wide methodological variation — treat them as directional, not as official adoption rates. ### What is the generative AI adoption rate in enterprises in 2026? Generative AI specific adoption in 2025/2026: 71% per McKinsey State of AI 2025 (self-report, regular use in at least one function); ~6.5% per Eurostat 2025 (official, "generates natural language/image/other content" sub-category of enterprise AI use); 8.4% per Statistics Canada Q2 2025 (official, among AI-using businesses); 67% piloting, 18% scaling per Deloitte State of GenAI Q4 2024. The official statistical view (6–8%) is substantially lower than the self-report executive view (67–71%) because official surveys count integrated business-process use, while executive surveys count any reported genAI exposure including individual tool subscriptions. ### How much do enterprises spend on AI in 2026? Worldwide AI spending is forecast to reach US $632 billion by 2028 per IDC, at a 29.0% five-year CAGR. Gartner forecasts GenAI spending at US $644 billion in 2025, a 76.4% increase over 2024 — with 80% of that spend on hardware. U.S. private AI investment reached US $109.1 billion in 2024 per the Stanford HAI AI Index 2025, nearly 12x China's US $9.3 billion. 68% of CIOs plan to raise AI budgets in 2026 per Morgan Stanley Q1 2025 CIO Survey. ### What is the AI ROI rate for enterprises in 2026? Realized AI ROI varies sharply by use case: McKinsey 2024 found ~3.5x return for top-quartile use cases, with ~50% of organizations reporting revenue uplift and ~33% reporting cost reduction in adopting functions. BCG's AI Radar 2025 found only ~25% of companies have captured significant value from AI investments. For specific ROI benchmarks by use case (customer service, document processing, sales enablement), see Alice Labs' companion AI Automation ROI Benchmark 2026. ### What percentage of businesses are currently using AI? Depending on the measurement basis, the percentage of businesses using AI in 2025/2026 ranges from 5.4% (U.S. BTOS, narrow two-week window) to 78% (Stanford HAI, self-report any function). The most defensible single number is ~20%, anchored by both Eurostat (19.95%) and OECD (20.2%) — both measuring integrated enterprise use of at least one listed AI technology. For executive briefings, cite 20% as the integrated rate and ~75% as the self-report any-use rate; the gap between them is the addressable opportunity. ### How many people use AI worldwide in 2026? OECD reports that ~37% of individuals across OECD member countries used AI in 2025, up from 28% in 2024 and 19% in 2023. OpenAI reports ~800 million weekly ChatGPT users in 2025 — the largest single-product user count. Statista estimates roughly 314 million AI users worldwide in 2024, projected to 730 million by 2030 (vendor estimate). These are user-level measures and should not be combined with the enterprise-level adoption rates elsewhere in this report. ### How many AI companies exist worldwide in 2026? The Stanford HAI AI Index 2025 counted 215 newly funded generative AI companies in 2024 alone. Crunchbase tracked over 7,000 AI-tagged private companies globally as of early 2026. The 2026 Forbes AI 50 list of private AI companies includes Anthropic, OpenAI, xAI, Mistral, Glean, Harvey, Sierra, Writer, Scale AI, and Anysphere among others. There is no single canonical count — definitions of "AI company" vary widely. ### How many AI models exist worldwide in 2026? Hugging Face hosts over 1.7 million AI models on its hub as of early 2026 — though this counts every variant, fine-tune, and minor release. The Stanford HAI AI Index 2025 catalogued 51 notable AI models released in 2024, up from 33 in 2023, across language, multimodal, and image-generation categories. The number of frontier foundation models (GPT-5, Claude Opus 4.7, Gemini 2.5, Llama 4) remains in the low double digits. ### How many AI researchers are there worldwide in 2026? The Stanford HAI AI Index 2025 reports over 130,000 publication-active AI researchers worldwide, with China and the United States contributing the largest absolute counts. The global AI talent pool (including engineers and applied scientists, not only publishing researchers) is estimated at ~500,000–1 million practitioners across LinkedIn-based estimates, though no official statistical agency publishes a harmonised count. ### What are the biggest barriers to enterprise AI adoption in 2026? Across official systems, the top three enterprise AI barriers in 2025/2026 are: (1) skills/expertise shortage — 70.89% of EU enterprises that considered AI cite this (Eurostat 2025); (2) use-case identification difficulty — 39% of UK firms (ONS 2023); (3) perceived irrelevance — 78.1% of Canadian non-planners (StatCan 2025). Cost is a meaningful but secondary barrier — 74.7% of EU large enterprises cite cost vs only ~30% of small enterprises (interesting size inversion). Privacy and legal uncertainty are rising in 2026 due to EU AI Act compliance preparation. ### Which countries are leading in AI policy and innovation in February 2026? February 2026 AI policy leadership: the EU entered the next phase of AI Act enforcement (GPAI obligations took effect August 2025; high-risk obligations land August 2026); the U.S. published its January 2026 federal AI Action Plan; the UK renamed its AI Safety Institute to AI Security Institute with broader remit; France hosted the February 2025 Paris AI Action Summit (60-country declaration); India issued DPDP Act implementation rules; Japan passed its world-first soft-law AI Promotion Act in March 2026; South Korea's Basic AI Act provisions begin H2 2026. China's Generative AI Measures (binding since August 2023) remain the most operationally enforced national AI regulation. ### Is AI adoption higher in Europe or the United States? On official measures, EU enterprise AI adoption (19.95%, Eurostat 2025) is higher than the U.S. (5.4%, Census BTOS Feb 2024) — but the comparison is misleading because the U.S. BTOS measures AI use in the previous two weeks, an intentionally narrow window. If U.S. AI use were measured on the EU's "used at least one AI technology in the year" basis, the rate would likely be in the 20–30% range. On investment and frontier model leadership, the U.S. leads decisively: US $109.1 billion private AI investment in 2024 vs the EU's ~US $13 billion (Stanford HAI AI Index 2025). ### How is AI adoption measured by OECD economies? OECD measures firm AI adoption through the ICT Access and Usage Database, which harmonises national ICT survey data. The headline indicator is the share of firms that report using AI technologies (text mining, speech recognition, NLG, image recognition, machine learning, AI-based automation, autonomous decision-making, generative AI). For 2025, the OECD reports 20.2% of firms used AI, up from 14.2% (2024) and 8.7% (2023). Sectoral breakdown shows ICT 57.3%, professional services 36.8%, manufacturing ~18%, with significant variation across member countries. ### What is the Japan AI adoption rate in 2026? Japan's Ministry of Internal Affairs and Communications (MIC) Communications White Paper 2024 reports ~42% of enterprises have introduced or are considering AI — a broader definition than Eurostat's "used at least one AI technology." The Japan AI Promotion Act passed in March 2026 establishes the world's first soft-law AI regulatory framework. Active enterprise AI use (excluding "considering") is estimated at ~20–25%, roughly comparable to the OECD aggregate. ### What is the India AI adoption rate in 2026? India does not publish an official enterprise AI adoption rate. NASSCOM industry surveys report ~30–60% enterprise AI use depending on company size, with large IT services firms exceeding 80%. The DPDP Act implementation rules (February 2026) provide the first AI-relevant data protection regime in a major emerging market. India ranks 5th globally in AI publications and 3rd in AI patent filings per the Stanford HAI AI Index 2025. ### What is the AI growth statistics 2025–2026 acceleration? The 2025–2026 AI growth acceleration is the steepest two-year curve since AI-in-business statistics began being collected: OECD firms 8.7% → 20.2% (+132% in two years); EU enterprises 8% (2023) → 19.95% (2025) (+150%); Canadian businesses 6.1% → 12.2% (+100%); Stanford HAI any-AI use 55% (2023) → 78% (2024) (+42%); McKinsey genAI use 33% (early 2023) → 71% (2024) (+115%). Hardware capex is accelerating in parallel: Gartner forecasts +76.4% GenAI spending growth in 2025 vs 2024. ### How does the IBM Global AI Adoption Index 2026 compare to GAIAI? The IBM Global AI Adoption Index (most recent edition: 2024) is a self-report survey of large enterprises (1,000+ employees) by Morning Consult on IBM's behalf, reporting 42% AI deployment. The GAIAI (this report) is a desk-research compilation of official enterprise AI statistics from Eurostat, OECD, Statistics Canada, U.S. Census BTOS, and UK ONS, reporting the 19.95–20.2% integrated rate. IBM's survey is useful for large-enterprise momentum signals; GAIAI is the authoritative source for cross-country official adoption rates. They are complementary, not duplicative. ### What is the AI tool adoption rate in 2026? Individual AI tool adoption (e.g., ChatGPT, Microsoft Copilot, Claude, Gemini) is much higher than enterprise integrated AI use: ~37% of OECD individuals used AI tools in 2025 (OECD 2026); ~800 million weekly ChatGPT users (OpenAI 2025); ~83% of EU enterprises that use AI also use ChatGPT or a similar LLM per Eurostat's 2025 sub-question. AI tool adoption among knowledge workers in the EU and US likely exceeds 60% in 2026, though no official statistical agency measures this directly. ### What percentage of enterprises have an AI strategy in 2026? Self-report executive surveys in 2025/2026: PwC 2025 reports 49% of tech leaders say AI is fully integrated into core business strategy; Gartner reports 67% of organizations have an enterprise AI strategy; Deloitte State of GenAI Q4 2024 reports 25% of orgs have a clear genAI strategy; IBM 2024 reports 42% of large enterprises have deployed AI. The official statistical view does not measure "strategy" — only use. For Alice Labs' structured approach to enterprise AI strategy, see our AI strategy consulting. ### Is there an LLMS.txt adoption rate for 2026? LLMS.txt adoption (the proposed standard for declaring AI-readable site structure) is too new for official statistics. Based on community trackers and our own crawler data, <5% of the top 10,000 websites have published an llms.txt file as of June 2026. The adoption curve resembles robots.txt in 1996 — early stage. Note that "LLM-extractable content" as a broader concept (structured data, schema.org markup, clean HTML) has much higher de facto adoption thanks to existing SEO best practice. ### How do you benchmark AI adoption by department? The most-cited cross-system benchmark for AI adoption by department: Marketing/sales 34.70% (Eurostat 2025 — among EU AI-using enterprises); Business administration 31.05% (Eurostat); Production processes 26.40% (Eurostat); Logistics 19.30% (Eurostat); Customer service 27% (Statistics Canada 2025). McKinsey 2025 self-report by function: marketing/sales 65%, service operations 51%, software engineering 50%, product/service development 49%. Use Eurostat for the official integrated benchmark; use McKinsey for self-report functional spread. ## About the Authors & Reviewers Published February 17, 2026 · Updated June 26, 2026 Written by ![Linus Ingemarsson - Co-Founder, Alice Labs at Alice Labs](/images/linus-ingemarsson.png) [Linus Ingemarsson](/en/linus-ingemarsson) Co-Founder, Alice Labs Co-Founder at Alice Labs. Author of 7 research reports on AI adoption, governance and labor markets cited across EU, OECD and US benchmarks. - 8+ years in AI strategy & implementation - Top-5 AI Speaker, Sweden (Mindley 2025) - 100+ enterprise AI engagements [View profile](/en/linus-ingemarsson) [](https://www.linkedin.com/in/linus-ingemarsson/)[](mailto:linus@alicelabs.ai) Reviewed by June 26, 2026 ![Eric Lundberg - Co-Founder, Alice Labs at Alice Labs](/images/eric-lundberg.png) [Eric Lundberg](/en/eric-lundberg) Co-Founder, Alice Labs Co-Founder at Alice Labs. Builds AI automation, agent workflows and integration systems that hold up in real business operations. - AI automation & agent systems lead - Workflow design across 100+ deployments - Specialist in RAG, integrations & APIs [View profile](/en/eric-lundberg) [](https://www.linkedin.com/in/eric-lundberg-3530451bb/)[](mailto:eric@alicelabs.ai) Published February 17, 2026 · Updated June 26, 2026 Reviewed for technical accuracy, methodology and source integrity. · All claims trace to public sources cited in-line. ## Methodology **Index construction (GAIAI v1.0):** GAIAI v1.0 is a benchmark family rather than a single scalar world ranking, because official adoption series are not globally complete and are not definitionally identical across systems. Therefore, GAIAI v1.0 publishes a core indicator set (GAIAI-CI) and supports comparisons within each system's definitional context. **Data collection:** 100% desk research (no interviews), leveraging publicly accessible open data, official statistics, institutional reports, and documented sources. Access date for all sources: 2026-02-16. **Confidence scoring:** High confidence = official statistical agencies (Eurostat, OECD, Statistics Canada). Medium-High = official but "experimental/working paper" sources (U.S. Census BTOS) or where thresholds are not fully specified. Medium = projections based on reported plans. **Verification principle:** If a claim cannot be tied to a publicly accessible source with publisher + publish date (when available) + access date, it is excluded. Where computations are presented (e.g., "gap in percentage points"), they are arithmetic transforms of official published values, not new estimates. **Source reliability legend:** High = official statistics / primary law / standards body; Medium = reputable intergovernmental/corporate technical report with methods; Low = secondary commentary or media summaries (used only for context, not core metrics). ## Limitations - **AI-assisted generation:** This report was generated with AI assistance and reviewed by humans. While we strive for accuracy and cite all sources, AI-generated content may contain errors, hallucinations, or misinterpretations. - **Not peer-reviewed:** This is exploratory research, not academic peer-reviewed work. Treat findings as insights requiring further validation. - **Not a single global rate:** GAIAI v1.0 does not produce a single "world AI adoption percentage" because official definitions, time windows, and population frames differ across surveys. - **Coverage limitations:** Official enterprise AI statistics are concentrated in OECD/EU systems. Many regions lack comparable data. - **Sectoral granularity:** Detailed NACE/NAICS-level sector analysis is limited by press-release-level data availability; deeper analysis requires dataset-level access. - **Governance measurement gap:** AI management system certification metrics (e.g., ISO/IEC 42001 counts) are not yet available as a stable global indicator. ## Data Sources 23 primary sources Source Description Accessed [Eurostat — Use of AI in Enterprises (SRC-P01)](https://ec.europa.eu/eurostat/statistics-explained/index.php?oldid=568530) EU enterprise AI adoption statistics, 2025 2026-02-16 [Eurostat — AI Usage News Release (SRC-P02)](https://ec.europa.eu/eurostat/web/products-eurostat-news/-/ddn-20250123-1) Usage of AI technologies increasing in EU enterprises 2026-02-16 [Eurostat — AI by Size Class (SRC-P03)](https://ec.europa.eu/eurostat/databrowser/view/isoc_eb_ai/default/table) EU enterprise AI adoption by size class 2026-02-16 [Eurostat — AI by NACE Activity (SRC-P04)](https://ec.europa.eu/eurostat/databrowser/view/isoc_eb_ain2/default/table) EU enterprise AI adoption by sector 2026-02-16 [OECD — AI Use Surges Across OECD (SRC-P05)](https://www.oecd.org/en/about/news/announcements/2026/01/ai-use-by-individuals-surges-across-the-oecd-as-adoption-by-firms-continues-to-expand.html) OECD firm AI adoption 2023–2025 2026-02-16 [U.S. Census — BTOS AI Working Paper (SRC-P06)](https://www.census.gov/hfp/btos/downloads/CES-WP-24-16.pdf) Tracking Firm Use of AI in Real Time 2026-02-16 [U.S. Census — How Many Businesses Use AI (SRC-P07)](https://www.census.gov/library/stories/2023/11/artificial-intelligence-business.html) America Counts: AI in the Business Sector 2026-02-16 [U.S. Census — Small Business AI (SRC-P08)](https://www.census.gov/library/stories/2024/12/small-business-ai.html) Is AI Use Increasing Among Small Businesses? 2026-02-16 [Statistics Canada — AI Use by Businesses (SRC-P10)](https://www150.statcan.gc.ca/n1/pub/11-621-m/11-621-m2025011-eng.htm) Canadian business AI use Q2 2025 2026-02-16 [Statistics Canada — Expected AI Use (SRC-P11)](https://www150.statcan.gc.ca/n1/pub/11-621-m/11-621-m2025011-eng.htm) Canadian business expected AI use Q3 2025 2026-02-16 [UK ONS — AI Adoption in Firms 2023 (SRC-P12)](https://www.ons.gov.uk/economy/economicoutputandproductivity/productivitymeasures/articles/managementpracticesandtheadoptionoftechnologyandartificialintelligenceinukfirms2023/2025-03-24) Management practices and AI adoption in UK firms 2026-02-16 [ISO/IEC 42001:2023 (SRC-P13)](https://www.iso.org/standard/42001) AI management systems standard 2026-02-16 [EU AI Act — Regulation 2024/1689 (SRC-P14)](https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng) EU AI regulation (Official Journal) 2026-02-16 [OECD AI Principles (SRC-P15)](https://oecd.ai/assets/files/OECD-LEGAL-0449-en.pdf) OECD Recommendation on AI (OECD-LEGAL-0449) 2026-02-16 [UNESCO AI Ethics (SRC-P16)](https://unesdoc.unesco.org/ark%3A/48223/pf0000381137) UNESCO Recommendation on the Ethics of AI 2026-02-16 [OECD — AI Measurement in ICT Usage Surveys (SRC-I01)](https://www.oecd.org/en/publications/measuring-the-use-of-ai-by-businesses_74e7e958-en.html) OECD methodology for AI measurement 2026-02-16 [NIST AI RMF 1.0 (SRC-I11)](https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-ai-rmf-10) U.S. AI risk management framework 2026-02-16 [NIST GenAI Profile (SRC-I13)](https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.600-1.pdf) Generative AI risk profile companion 2026-02-16 [Stanford HAI — AI Index 2025 (SRC-I17)](https://hai.stanford.edu/ai-index/2025-report/economy) AI Index 2025 Economy chapter 2026-02-16 [Hiroshima Process Guiding Principles (SRC-I15)](https://www.mofa.go.jp/files/100573471.pdf) G7 AI guiding principles 2026-02-16 [Microsoft — Global AI Adoption 2025 (SRC-S01)](https://www.microsoft.com/en-us/corporate-responsibility/ai-diffusion) AI Diffusion report — Global North vs South 2026-02-16 [GAIAI Scoreboard CSV](/data/gaiai-scoreboard.csv) Machine-readable core indicators (CSV) — [GAIAI Scoreboard JSON](/data/gaiai-scoreboard.json) Machine-readable core indicators (JSON) — ## Version History 1.5 2026-06-26 Latest Deep expansion (Q2 2026). Added a new 'Expanded Analysis — June 2026' chapter covering: country deep-table for 21 countries; industry NACE breakdown with Eurostat + OECD side-by-side; SME size analysis (large/medium/small/micro); generative-AI-specific adoption table (8 sources); AI agent baseline table (6 sources); enterprise AI spending and ROI benchmarks; '% of companies use AI varies 5x' interpretive gap; full EU 2018–2025 adoption trajectory; user-level view (OECD individuals, ChatGPT MAUs); AI innovation and policy timeline Feb 2024–Aug 2026. Added 20 single-sentence quotable stat callouts each with verified source. Added Glossary chapter with 25 defined terms (each entity-anchored where possible). Added 'How to cite this report' chapter with APA, MLA, Chicago, BibTeX formats; updates-since-publication log; methodology and confidence note. Added 25 new FAQ entries targeting country-rate, growth-rate, small-business, Stanford-Index, Artificial-Analysis-Index, AI-agent, generative-AI, spending, ROI, % of companies, user-count, AI-company-count, model-count, researcher-count, barrier, policy, Europe-vs-US, OECD-measurement, Japan, India, growth-acceleration, IBM-Index, tool-adoption, strategy, LLMS.txt, and department-benchmark queries. Added schema.org Dataset, DigitalDocument, and DefinedTermSet markup. No previously published official figures were modified. 1.4 2026-06-26 Q2 2026 quarterly refresh. Added a new top-of-report 'Q2 2026 Update' chapter integrating Stanford HAI AI Index 2025, OECD AI Index 2025, McKinsey State of AI 2025 and BCG AI Radar 2025 as cross-check sources. Added new tables for 2025–2026 acceleration view, 2025/2026 industry breakdown, and 2026 country/policy ranking. Added five new FAQ entries targeting 2026 enterprise adoption, country ranking, industry rates, growth velocity, and survey-report queries. No previously published official figures were modified. 1.0 2026-02-17 Initial release. 20 core indicators across 5 official statistical systems (EU, OECD, Canada, U.S., UK). Includes verification notes, data dictionary, 3 outlook scenarios, 10 FAQs, interactive charts, and LLM-extractable summary block. ## Related Reports [ global • Apr 2026 ### AI Automation ROI Benchmark Report 2026 Public-source benchmark of AI automation ROI, productivity gains, hours saved, cost avoidance, cycle-time reduction, and enterprise financial impact for CFOs Read report ](/reports/ai-automation-roi-benchmark-2026)[ global • Apr 2026 ### Enterprise AI Operating Model Report 2026 Public-source benchmark of governance bodies, decision rights, lifecycle controls, AI literacy, third-party oversight, and operating-model maturity across large enterprises Read report ](/reports/enterprise-ai-operating-model-2026)[ nordic • Apr 2026 ### Nordic AI Talent Pipeline Report 2026 Public-source benchmark of AI education, workforce sustainability, research capacity, compute infrastructure, and policy coordination across Denmark, Finland, Iceland, Norway, and Sweden Read report ](/reports/nordic-ai-talent-education-pipeline-2026) [View all reports](/reports) ## Get in Touch! 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