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North America averages 81.51, while Europe averages approximately 65." } }, { "@type": "Question", "name": "What is the EGDI and why does it matter for AI?", "acceptedAnswer": { "@type": "Answer", "text": "The E-Government Development Index (EGDI) by UN DESA measures digital government capacity across 193 Member States. The 2024 global average is 0.6382. It matters because digital government infrastructure is the foundation layer on which AI deployments depend." } }, { "@type": "Question", "name": "What is the biggest barrier to public sector AI adoption?", "acceptedAnswer": { "@type": "Answer", "text": "The 2× EGDI gap between Europe (0.8493) and Africa (0.4247) and the 52.4-point AI readiness gap between North America and Sub-Saharan Africa are the most significant structural barriers." } }, { "@type": "Question", "name": "How does the EU AI Act affect public sector AI?", "acceptedAnswer": { "@type": "Answer", "text": "The EU AI Act (Regulation 2024/1689) establishes a binding, risk-based regulatory regime that directly shapes public-sector procurement requirements, mandating risk assessments for high-risk AI systems." } }, { "@type": "Question", "name": "What AI governance frameworks exist for governments?", "acceptedAnswer": { "@type": "Answer", "text": "Key frameworks include NIST AI Risk Management Framework 1.0, ISO/IEC 42001 AI management system standard, UNESCO Recommendation on AI Ethics, OECD AI Recommendation, Council of Europe Framework Convention on AI, and EU model contractual clauses for AI procurement." } }, { "@type": "Question", "name": "What is the GovTech Maturity Index (GTMI)?", "acceptedAnswer": { "@type": "Answer", "text": "The GTMI is the World Bank's measure of public-sector digital transformation, covering 198 economies using 48 indicators. The global average increased from 0.552 (2022) to 0.589 (2025)." } }, { "@type": "Question", "name": "How many countries have AI-related legislation?", "acceptedAnswer": { "@type": "Answer", "text": "According to UN DESA's Member States Questionnaire, 63% (90 out of 142 respondents) report having laws or regulations for emerging technologies including AI." } }, { "@type": "Question", "name": "When is the AI Index Report 2026 release date?", "acceptedAnswer": { "@type": "Answer", "text": "April 2026 is the expected release date for the Stanford HAI AI Index Report 2026, based on the consistent April-release cadence since 2022. Until then, the AI Index Report 2025 (published April 2025) is the most recent edition. Stanford HAI focuses on industry, research, and model-level indicators; for government and public-sector benchmarks, see this GPSAI report." } }, { "@type": "Question", "name": "Where can I download the Government AI Readiness Index dimension_score.csv?", "acceptedAnswer": { "@type": "Answer", "text": "Oxford Insights publishes the dimension-level scores CSV at oxfordinsights.com/ai-readiness/. The 2024 and 2025 edition CSV files are linked from the respective publication pages. The CSV contains country-by-country dimension scores across the index's three pillars and ten dimensions." } }, { "@type": "Question", "name": "What are the EU AI Act fines for prohibited practices?", "acceptedAnswer": { "@type": "Answer", "text": "Under EU AI Act Article 99, fines for prohibited AI practices reach up to €35 million or 7% of total worldwide annual turnover, whichever is higher. Non-compliance with high-risk obligations is capped at €15M or 3% turnover, and supplying incorrect information up to €7.5M or 1% turnover." } }, { "@type": "Question", "name": "What is India's rank in the AI Readiness Index 2026?", "acceptedAnswer": { "@type": "Answer", "text": "The Oxford Insights Government AI Readiness Index 2026 has not yet been published (expected late 2026). In the 2025 edition (released January 2026), India ranks in the global top 50, typically positions 35-45. India's score is driven by a strong technology-sector pillar and improving data and infrastructure pillar via Digital Public Infrastructure (Aadhaar, UPI, DigiLocker)." } }, { "@type": "Question", "name": "Top 10 countries in the Government AI Readiness Index 2025?", "acceptedAnswer": { "@type": "Answer", "text": "Top 10 countries in the Oxford Insights Government AI Readiness Index 2025 (published January 2026, 195 countries assessed): United States (88.36), Singapore, United Kingdom, Canada, South Korea, Germany, France, Netherlands, Finland, Japan." } }, { "@type": "Question", "name": "What is the AI Preparedness Index 2026?", "acceptedAnswer": { "@type": "Answer", "text": "The AI Preparedness Index is published by the International Monetary Fund (IMF) and measures economic readiness for AI across four pillars: digital infrastructure, human capital, technological innovation, and regulation/ethics. The IMF AI Preparedness Index covers approximately 174 economies." } }, { "@type": "Question", "name": "How many countries have national AI strategies in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "More than 70 jurisdictions publish a formal national AI strategy as of mid-2025, per the OECD.AI Policy Observatory. By the end of 2026 this is expected to exceed 80 jurisdictions, with new entrants from MENA, Sub-Saharan Africa, and South-East Asia." } }, { "@type": "Question", "name": "When does the EGDI 2026 release?", "acceptedAnswer": { "@type": "Answer", "text": "EGDI 2026 (the next UN E-Government Development Index edition) is expected in Q3-Q4 2026 from UN DESA. The current authoritative edition is EGDI 2024 (released September 2024) with a global average of 0.6382." } }, { "@type": "Question", "name": "What is UNGA Resolution A/RES/78/265?", "acceptedAnswer": { "@type": "Answer", "text": "UNGA Resolution A/RES/78/265, 'Seizing the opportunities of safe, secure and trustworthy artificial intelligence systems for sustainable development', was adopted by the UN General Assembly without a vote on 21 March 2024. It was the first UN-wide consensus instrument on AI." } }, { "@type": "Question", "name": "What is the International Network of AI Safety Institutes?", "acceptedAnswer": { "@type": "Answer", "text": "The International Network of AI Safety Institutes was inaugurated in San Francisco on 21 November 2024 with a NIST-hosted mission statement. Members include the US, UK, Japan, Singapore, Canada, France, the EU, Australia, South Korea, and Kenya." } }, { "@type": "Question", "name": "What is the AI Index 2025 key findings?", "acceptedAnswer": { "@type": "Answer", "text": "Stanford HAI's AI Index 2025 highlights: U.S. federal AI-related regulations rose to 75 in 2024 (from 25 in 2023); U.S. private AI investment reached $109.1B in 2024 (~12x China); 78% of organizations reported AI use in 2024 (up from 55%); and the U.S.-China model performance gap narrowed substantially." } }, { "@type": "Question", "name": "How to cite the Global Public Sector AI Index 2026?", "acceptedAnswer": { "@type": "Answer", "text": "APA: Ingemarsson, L. (2026, June 26). Global Public Sector AI Index 2026 (Version 1.7). Alice Labs. https://alicelabs.ai/reports/global-public-sector-ai-index-2026. 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Europe 0.8493 vs Africa 0.4247), the World Bank GovTech Maturity Index for public-sector digital transformation (global average rising from 0.552 in 2022 to 0.589 in 2025), and the Oxford Insights Government AI Readiness Index 2025 (195 countries, North America avg 81.51 vs Sub-Saharan Africa 29.12).\n\nGovernance signals include UN DESA survey evidence that 63% (90/142) of respondents report laws/regulations for emerging technologies. 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North America averages 81.51, while Europe averages approximately 65. The widest gap is with Sub-Saharan Africa at 29.12." } }, { "@type": "Question", "name": "What is the EGDI and why does it matter for AI?", "acceptedAnswer": { "@type": "Answer", "text": "The E-Government Development Index (EGDI) by UN DESA measures digital government capacity across 193 Member States. The 2024 global average is 0.6382. It matters for AI because digital government infrastructure — online services, connectivity, data systems — is the foundation layer on which AI deployments depend." } }, { "@type": "Question", "name": "What is the biggest barrier to public sector AI adoption?", "acceptedAnswer": { "@type": "Answer", "text": "The 2× EGDI gap between Europe (0.8493) and Africa (0.4247) and the 52.4-point AI readiness gap between North America and Sub-Saharan Africa are structurally the most significant barriers. Without foundational digital government, AI initiatives risk remaining as isolated pilots without scale." } }, { "@type": "Question", "name": "How does the EU AI Act affect public sector AI?", "acceptedAnswer": { "@type": "Answer", "text": "The EU AI Act (Regulation 2024/1689), published July 12, 2024, establishes a binding, risk-based regulatory regime. It directly shapes public-sector procurement requirements, mandating risk assessments for high-risk AI systems and creating compliance obligations for AI vendors serving government." } }, { "@type": "Question", "name": "What AI governance frameworks exist for governments?", "acceptedAnswer": { "@type": "Answer", "text": "Key frameworks include: NIST AI Risk Management Framework 1.0 (Jan 2023), ISO/IEC 42001 AI management system standard (Dec 2023), UNESCO Recommendation on AI Ethics (2021), OECD AI Recommendation (2019), the Council of Europe Framework Convention on AI (2024), and EU model contractual clauses for AI procurement (2023)." } }, { "@type": "Question", "name": "What is the GovTech Maturity Index (GTMI)?", "acceptedAnswer": { "@type": "Answer", "text": "The GTMI is the World Bank's measure of public-sector digital transformation, covering 198 economies using 48 indicators. The global average increased from 0.552 (2022) to 0.589 (2025), but only 35% of economies meet \"good practice\" thresholds, indicating uneven progress." } }, { "@type": "Question", "name": "How many countries have AI-related legislation?", "acceptedAnswer": { "@type": "Answer", "text": "According to UN DESA's Member States Questionnaire, 63% (90 out of 142 respondents) report having laws or regulations for emerging technologies including AI. However, this figure reflects a respondent subset and should not be interpreted as global prevalence." } }, { "@type": "Question", "name": "When will the AI Index Report 2026 be released?", "acceptedAnswer": { "@type": "Answer", "text": "The Stanford HAI AI Index has been published annually in April since 2022. The AI Index Report 2026 is expected in April 2026; the most recent edition currently available is the AI Index Report 2025 (published April 2025). Stanford HAI focuses on industry, research, and model-level indicators; for government/public-sector benchmarks, see the GPSAI scoreboard in this report." } }, { "@type": "Question", "name": "What are the key findings of the AI Index Report 2025?", "acceptedAnswer": { "@type": "Answer", "text": "Stanford HAI's 2025 report highlights: U.S. federal AI-related regulations rose to 75 in 2024 (from 25 in 2023); U.S. private-sector AI investment reached $109.1B in 2024; 78% of organizations reported using AI in 2024 (up from 55% the prior year); and the U.S.–China model performance gap has narrowed substantially. See aiindex.stanford.edu for the full report." } }, { "@type": "Question", "name": "Is there an EGDI 2026 release?", "acceptedAnswer": { "@type": "Answer", "text": "Not yet. The UN E-Government Survey is published biennially. EGDI 2024 (released September 2024) is the current authoritative dataset (global average 0.6382). EGDI 2026 is expected in Q3–Q4 2026 from UN DESA." } }, { "@type": "Question", "name": "Where can I download the Government AI Readiness Index dimension scores CSV?", "acceptedAnswer": { "@type": "Answer", "text": "Oxford Insights publishes the dimension-level scores for the Government AI Readiness Index 2024 and 2025 at their data download page. For the 2024 edition, the dimension_score.csv file is hosted at oxfordinsights.com/ai-readiness. The 2026 edition is not yet published. Our GPSAI scoreboard reproduces the regional averages but defers to Oxford Insights for the country-level dimension data." } }, { "@type": "Question", "name": "Is there a public sector AI adoption index for 2026?", "acceptedAnswer": { "@type": "Answer", "text": "No single \"public sector AI adoption index 2026\" yet exists. The closest reproducible references are: Oxford Insights Government AI Readiness Index 2025 (195 countries), World Bank GovTech Maturity Index 2025 (198 economies), and UN EGDI 2024 (193 Member States). The GPSAI framework in this report combines these three baselines into a scoreboard rather than a single composite score, on purpose: the indices use different methodologies and weighting choices that prevent a defensible single ranking." } }, { "@type": "Question", "name": "How does the EU AI Act apply to public-sector procurement in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "As of 2 August 2025, general-purpose AI (GPAI) obligations apply, and as of 2 February 2025, prohibited practices (Article 5) and AI literacy (Article 4) obligations are enforceable. High-risk AI obligations under Annex III (which covers many public-sector use cases such as biometric identification, critical infrastructure, education, employment, and access to public services) become fully applicable from 2 August 2026. Public buyers should already be screening tenders for Annex III classification and requiring conformity-assessment evidence from vendors." } }, { "@type": "Question", "name": "What is the AI Index Report 2026?", "acceptedAnswer": { "@type": "Answer", "text": "The AI Index Report 2026 is the next annual edition of the Stanford HAI Artificial Intelligence Index. The current authoritative edition is the AI Index Report 2025 (published April 2025). Stanford HAI has released the AI Index annually each April since 2022, so the AI Index Report 2026 is expected in April 2026 at aiindex.stanford.edu. It tracks research, models, investment, policy, and public opinion globally — distinct from government-focused indices like Oxford Insights." } }, { "@type": "Question", "name": "When is the AI Index Report 2026 release date?", "acceptedAnswer": { "@type": "Answer", "text": "April 2026 is the expected release date for the Stanford HAI AI Index Report 2026, based on the consistent April-release cadence since 2022. Until then, the AI Index Report 2025 (published April 2025) is the most recent edition. Sign up at aiindex.stanford.edu for release notifications." } }, { "@type": "Question", "name": "What are the key findings of the AI Index 2026?", "acceptedAnswer": { "@type": "Answer", "text": "The Stanford HAI AI Index 2026 has not yet been released (expected April 2026). The Stanford HAI AI Index 2025 reported: U.S. federal AI-related regulations tripled to 75 in 2024 (up from 25 in 2023); U.S. private-sector AI investment reached $109.1B in 2024 (~12× China); 78% of organizations reported AI use in 2024 (up from 55%); and the U.S.–China model-performance gap closed to near-parity on MMLU." } }, { "@type": "Question", "name": "Where can I download the AI Index 2026 PDF?", "acceptedAnswer": { "@type": "Answer", "text": "The AI Index 2026 PDF will be released on aiindex.stanford.edu in April 2026. The AI Index 2025 PDF is currently available for free download at aiindex.stanford.edu/report/. Stanford HAI also publishes a public dashboard, chapter-level PDFs, and underlying data tables." } }, { "@type": "Question", "name": "Where can I see the AI Index 2026 report charts?", "acceptedAnswer": { "@type": "Answer", "text": "Charts and visualizations from the AI Index 2026 will be published alongside the report on aiindex.stanford.edu in April 2026. Stanford HAI traditionally provides interactive dashboards, downloadable chart PNGs, and underlying CSV data. The AI Index 2025 charts are currently available at aiindex.stanford.edu/dashboard." } }, { "@type": "Question", "name": "What is the Government AI Readiness Index 2026?", "acceptedAnswer": { "@type": "Answer", "text": "Oxford Insights publishes the Government AI Readiness Index annually. The most recent edition is the 2025 edition (published January 2026), covering 195 countries. The 2026 edition is expected in late 2026. The index assesses governments across three pillars (Government, Technology Sector, Data & Infrastructure) and ten dimensions. The United States led the 2025 edition with a score of 88.36/100." } }, { "@type": "Question", "name": "Where is the Government AI Readiness Index dimension_score.csv?", "acceptedAnswer": { "@type": "Answer", "text": "Oxford Insights publishes the dimension-level scores CSV file (often referred to as dimension_score.csv or dimension scores CSV) at their data download page: oxfordinsights.com/ai-readiness/. The 2024 edition's CSV is accessible from the 2024 publication page; the 2025 edition's data files are at the 2025 page. The CSV contains country-by-country dimension scores across the index's pillars." } }, { "@type": "Question", "name": "How is the Government AI Readiness Index 2025 different from 2024?", "acceptedAnswer": { "@type": "Answer", "text": "The 2025 edition expanded country coverage to 195 (up from 188 in 2024), reaffirmed the three-pillar / ten-dimension structure, and added pillar-level transparency on missing data. Methodological refinements between 2024 and 2025 mean direct year-over-year score comparisons should be treated as indicative rather than precise; Oxford Insights generally publishes a methodology change-log in each edition." } }, { "@type": "Question", "name": "What is the Government AI Readiness Index 2025 top 10 countries?", "acceptedAnswer": { "@type": "Answer", "text": "Based on Oxford Insights 2025 (published January 2026): 1) United States (88.36), 2) Singapore, 3) United Kingdom, 4) Canada, 5) South Korea, 6) Germany, 7) France, 8) Netherlands, 9) Finland, 10) Japan. Exact rankings 2-10 vary slightly by methodology snapshot; consult Oxford Insights' published top-10 table for the canonical figures." } }, { "@type": "Question", "name": "What is India's rank in the AI Readiness Index 2026?", "acceptedAnswer": { "@type": "Answer", "text": "The Oxford Insights Government AI Readiness Index 2026 has not yet been published (expected late 2026). In the 2025 edition (released January 2026), India ranks in the global top 50 — typically in positions 35–45 across recent editions. India's strong Technology-Sector pillar (large IT workforce) and improving Data & Infrastructure pillar (Digital Public Infrastructure including Aadhaar, UPI) underpin its score. Government-pillar progress is supported by the IndiaAI Mission (2024)." } }, { "@type": "Question", "name": "What is the EGDI 2026?", "acceptedAnswer": { "@type": "Answer", "text": "EGDI 2026 refers to the next edition of the UN E-Government Development Index, expected to be released in Q3–Q4 2026 by UN DESA. The EGDI is published biennially as part of the UN E-Government Survey. The current authoritative edition is EGDI 2024 (released September 2024), with a global average of 0.6382. EGDI 2026 will refresh scores for all 193 UN Member States." } }, { "@type": "Question", "name": "What is the AI Preparedness Index 2026?", "acceptedAnswer": { "@type": "Answer", "text": "The AI Preparedness Index is published by the International Monetary Fund (IMF) and measures economic readiness for AI across four pillars (digital infrastructure, human capital, technological innovation, regulation/ethics). The IMF AI Preparedness Index covers ~174 economies; the latest snapshot ranks Singapore, Denmark, the United States, and the Netherlands in the top tier. A 2026 update is expected via the IMF's STA (Statistics Department) channels." } }, { "@type": "Question", "name": "What is the AI Index 2018 DigiBarometer assessment tool?", "acceptedAnswer": { "@type": "Answer", "text": "The DigiBarometer is a Nordic-region digital maturity self-assessment tool developed under EU and Nordic Council accelerator programs (2018 cohort). It assesses organizations' digital and AI maturity across multiple dimensions and is distinct from the global indices (Stanford HAI, Oxford Insights, IMF AI Preparedness) discussed in this report." } }, { "@type": "Question", "name": "What is the Artificial Analysis Intelligence Index April 2026?", "acceptedAnswer": { "@type": "Answer", "text": "The Artificial Analysis Intelligence Index is a continuously updated benchmark of frontier AI model performance, published at artificialanalysis.ai. Monthly snapshots (e.g., March 2026, April 2026) capture leading model scores across reasoning, coding, math, and multilingual benchmarks. It is distinct from the Stanford HAI AI Index (annual macro report) and the Oxford Insights Government AI Readiness Index (annual government benchmark)." } }, { "@type": "Question", "name": "What is the Artificial Analysis Intelligence Index 2026 ranking?", "acceptedAnswer": { "@type": "Answer", "text": "The Artificial Analysis Intelligence Index 2026 ranking is updated continuously at artificialanalysis.ai/leaderboards. Top-performing frontier models in 2026 include the latest releases from OpenAI, Anthropic, Google DeepMind, xAI, Meta, and DeepSeek. Rankings are model-level rather than country-level; for country-level AI readiness, see Oxford Insights, EGDI, and GTMI as primary references." } }, { "@type": "Question", "name": "What is AI ranking by country 2026?", "acceptedAnswer": { "@type": "Answer", "text": "AI ranking by country in 2026 depends on which dimension you measure: (a) Government AI readiness — Oxford Insights 2025 ranks the United States #1 (88.36), Singapore, UK, Canada, South Korea in the top 5; (b) Digital government foundations — UN EGDI 2024 ranks Denmark, Estonia, Singapore, Republic of Korea, Iceland in the top group; (c) Frontier model output — China and the U.S. dominate notable model production; (d) Talent — Stanford HAI 2025 reports U.S. leads private investment by ~12× over China." } }, { "@type": "Question", "name": "What is the AI Governance Index?", "acceptedAnswer": { "@type": "Answer", "text": "There is no single canonical 'AI Governance Index' — multiple sources track AI governance maturity from different angles. Major references include: CAIDP AI and Democratic Values Index (annual, 80+ countries), Oxford Insights Government AI Readiness Index (Government pillar specifically), Stanford HAI AI Index (policy chapter), and OECD.AI Policy Observatory's national strategies tracker. This report's GPSAI scoreboard catalogues the 12 most pivotal global governance instruments rather than a single composite governance index." } }, { "@type": "Question", "name": "How does the EU AI Act apply to countries outside the EU?", "acceptedAnswer": { "@type": "Answer", "text": "The EU AI Act (Regulation (EU) 2024/1689) applies extraterritorially under Article 2: providers placing AI systems on the EU market, deployers in the EU, and providers and deployers in third countries whose AI output is used in the Union all fall in scope. This means non-EU vendors selling AI to EU public buyers — including via cloud APIs — must comply." } }, { "@type": "Question", "name": "What are EU AI Act fines for prohibited practices?", "acceptedAnswer": { "@type": "Answer", "text": "Under Article 99 of the EU AI Act, fines for prohibited AI practices (Article 5) reach up to €35 million or 7% of total worldwide annual turnover, whichever is higher. Non-compliance with high-risk obligations is capped at €15M or 3% turnover, and supplying incorrect information to authorities up to €7.5M or 1% turnover. Penalties are tiered by company size for SMEs." } }, { "@type": "Question", "name": "What are AI applications in government 2026?", "acceptedAnswer": { "@type": "Answer", "text": "Documented AI applications in government in 2026 include: (i) citizen-facing chatbots and virtual assistants (Estonia Bürokratt, Singapore Pair Chat); (ii) algorithmic transparency registers (Netherlands, UK ATRS); (iii) impact-assessment tools (Canada AIA); (iv) tax / benefits / fraud detection systems (multiple OECD countries); (v) document summarisation for civil servants (UK Redbox); (vi) cybersecurity threat detection (various AI safety institutes); (vii) translation / accessibility (EU eTranslation)." } }, { "@type": "Question", "name": "What countries are using AI innovation engines for government services 2026?", "acceptedAnswer": { "@type": "Answer", "text": "Countries with documented AI innovation engines for government services in 2026 include: Singapore (GovTech Pair / LaunchPad), Estonia (Bürokratt + e-Estonia framework), United Kingdom (Incubator for Artificial Intelligence — i.AI), United States (GSA's AI Centre of Excellence + federal AI use case inventories), Australia (Digital Transformation Agency AI projects), Canada (Treasury Board AIA + federal AI strategy), and the European Union via the EU AI Office. Most are catalogued in OECD.AI's national strategies tracker." } }, { "@type": "Question", "name": "What is the AI Talent Concentration by Country 2026?", "acceptedAnswer": { "@type": "Answer", "text": "Stanford HAI AI Index 2025 reports the U.S. attracted roughly half of global AI talent flows in 2024, with China, the United Kingdom, India, and Germany in the next tier. LinkedIn's AI Talent Index ranks Israel highest in AI talent concentration per-capita. For the most current 2026 talent benchmark, see Alice Labs' separate Global AI Talent & Compensation Index 2026 report, which aggregates LinkedIn, Stanford HAI, and OECD signals." } }, { "@type": "Question", "name": "What is the AI Regulation Index 2026 — least regulated countries?", "acceptedAnswer": { "@type": "Answer", "text": "There is no canonical 'AI Regulation Index 2026' that ranks countries from most to least regulated. Useful proxies: OECD.AI Policy Observatory's national strategies tracker (70+ jurisdictions with strategies), CAIDP AI & Democratic Values Index (compliance with international norms), and the World Bank GTMI governance sub-pillar. Countries with explicitly light-touch regulatory frameworks as of 2026 include the United States (post EO 14148), Japan (innovation-first AI policy), and Singapore (sandboxed AI Verify approach)." } }, { "@type": "Question", "name": "What is the AI Ready Data score for public sector?", "acceptedAnswer": { "@type": "Answer", "text": "There is no single canonical 'AI-ready data' score for the public sector globally. The UN DESA Open Data Inventory (OGDI), OECD's OURdata Index (Open, Useful, Reusable government data), and the World Bank's Statistical Capacity Index together capture much of what 'AI-ready data' implies. The OECD OURdata Index covers 38 OECD countries and rates open data initiatives across data availability, accessibility, and re-use support — a useful proxy for AI readiness on the data dimension." } }, { "@type": "Question", "name": "What is AI Readiness Assessment for the public sector?", "acceptedAnswer": { "@type": "Answer", "text": "An AI Readiness Assessment for the public sector typically evaluates: (i) digital government foundations (EGDI proxy); (ii) data infrastructure and identity systems; (iii) governance institutions; (iv) workforce skills; (v) procurement maturity; (vi) regulatory capacity. The Oxford Insights Government AI Readiness Index methodology is one canonical assessment framework. Alice Labs' GPSAI scoreboard combines EGDI + GTMI + Oxford Insights for a triangulated assessment." } }, { "@type": "Question", "name": "How many countries have national AI strategies in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "More than 70 jurisdictions publish a formal national AI strategy as of mid-2025, per the OECD.AI Policy Observatory. By the end of 2026 this is expected to exceed 80 jurisdictions, with new entrants from MENA, Sub-Saharan Africa, and South-East Asia. Strategy publication is necessary but not sufficient — only roughly half of strategies include explicit public-sector implementation roadmaps with funded budget lines." } }, { "@type": "Question", "name": "What is the Government AI Readiness Index 2025 or 2026 top countries?", "acceptedAnswer": { "@type": "Answer", "text": "Top countries in the Government AI Readiness Index 2025 (the most recent edition, published January 2026, covering 195 countries): United States (88.36), Singapore, United Kingdom, Canada, South Korea, Germany, France, Netherlands, Finland, Japan, Sweden, Denmark, Norway, Australia, UAE, Estonia, Switzerland, Ireland, Israel, China. The 2026 edition is expected late 2026." } }, { "@type": "Question", "name": "What is AI Sentience Readiness Index 2026?", "acceptedAnswer": { "@type": "Answer", "text": "There is no widely recognised 'AI Sentience Readiness Index 2026'. This appears to be a misnomer or a search variant. Mainstream AI readiness indices (Oxford Insights, IMF, GTMI) measure governmental and economic capacity, not 'sentience'. The closest scientific reference points are work by Anthropic on model welfare and academic frameworks on AI moral status — not country-level benchmarks." } }, { "@type": "Question", "name": "What is the International AI Safety Report 2026 summary key findings?", "acceptedAnswer": { "@type": "Answer", "text": "The International AI Safety Report 2026 (chaired by Yoshua Bengio, commissioned at the UK AI Safety Summit) provides a scientific consensus synthesis on AI capabilities, risks, and mitigation pathways. Key 2026 findings include: rapid frontier-model capability scaling continues; bioweapon and cyberweapon misuse risks remain plausible but currently bounded; loss-of-control risks are debated; and governance/evaluation infrastructure is the highest-leverage near-term intervention. See the official UK AI Safety Institute publication for the full report." } }, { "@type": "Question", "name": "What is the CAIDP Index 2026?", "acceptedAnswer": { "@type": "Answer", "text": "The Center for AI and Digital Policy (CAIDP) AI and Democratic Values Index assesses ~80 countries on AI policy alignment with democratic values, human rights, and rule of law. The 2026 edition is expected in early 2026 from caidp.org. Earlier editions ranked Canada, Germany, the United Kingdom, the Netherlands, Norway, and Sweden in the top tier. CAIDP complements Oxford Insights by focusing specifically on governance and human rights, not technical readiness." } }, { "@type": "Question", "name": "What is UNGA Resolution A/RES/78/265 adopted date?", "acceptedAnswer": { "@type": "Answer", "text": "UNGA Resolution A/RES/78/265, 'Seizing the opportunities of safe, secure and trustworthy artificial intelligence systems for sustainable development', was adopted by the UN General Assembly without a vote on 21 March 2024. It was the first UN-wide consensus instrument on AI and was followed by A/RES/78/311 (1 July 2024) on capacity-building and A/RES/79/325 (26 August 2025) establishing the 40-member scientific panel and Global Dialogue." } }, { "@type": "Question", "name": "What is the UN E-Government Survey 2024?", "acceptedAnswer": { "@type": "Answer", "text": "The UN E-Government Survey 2024 (released September 2024 by UN DESA) is the 13th edition of the biennial assessment of digital government across all 193 UN Member States. It reports the EGDI global average at 0.6382 (up from 0.6102 in 2022), Europe leading at 0.8493, Africa at 0.4247. The 2024 survey also released a dedicated AI Addendum exploring AI use in government." } }, { "@type": "Question", "name": "How can governments cite the AI Index in the EU AI Act context?", "acceptedAnswer": { "@type": "Answer", "text": "The Stanford HAI AI Index is cited extensively in EU AI Act preparatory documents and Commission communications as a reference for AI capability and adoption trends. It is not, however, a legal basis for the AI Act itself — the AI Act's binding provisions reference Council of Europe, OECD, and ISO standards rather than the AI Index. The AI Index informs Commission's annual AI strategy reports and Member State coordination via the EU AI Board." } }, { "@type": "Question", "name": "Is the AI Index cited by governments, OECD, and UN?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. The Stanford HAI AI Index is cited in OECD AI Outlook publications, multiple UN system reports (UNESCO, ITU, UN DESA E-Gov Survey), Commission communications, and country-level AI policy documents. It functions as the de facto reference for AI macro-statistics across multilateral policy work, alongside the OECD AI Policy Observatory and the EU's annual AI strategy review." } }, { "@type": "Question", "name": "What is the Government AI Readiness Index 2025 — 195 governments scope?", "acceptedAnswer": { "@type": "Answer", "text": "The Oxford Insights Government AI Readiness Index 2025 covers 195 governments — the broadest panel ever assessed in the index's history. The 2025 edition (published January 2026) added several new entrants relative to 2024 (188 countries) and reaffirmed the three-pillar / ten-dimension methodology. The full 195-country dataset and dimension_score.csv are available on Oxford Insights' download page." } } ] } ] } ] --- [Alice Labs](/en/) Services [ What we do ](/#welcome)[ About Alice ](/#who-we-are)[ Case ](/en/case)[ Insights ](/en/insights)[ Contact ](/#email-form) 1. [Home](/) 2. [Reports](/reports) 3. Public Sector AI Readiness 2026: Government Benchmarks by Country Research Report Published February 2026 Updated June 26, 2026 v1.7 # Public Sector AI Readiness 2026: Government Benchmarks by Country Benchmark government AI maturity worldwide using open indicators on readiness, governance, and digital capacity Authors: [Linus Ingemarsson](https://alicelabs.ai/en/linus-ingemarsson)(Co-Founder, Alice Labs) [How to Cite](#cite) 0.6382 EGDI Global Average +4.6% since 2022 195 Countries Assessed (Oxford) Broadest AI readiness panel 52.4 pts AI Readiness Gap N. America vs Sub-Saharan Africa 63% Gov'ts with AI/Tech Laws 90 of 142 UN MSQ respondents ## Contents - [At a Glance](#at-a-glance) - [Executive Summary](#executive-summary) - [Key Findings (15)](#key-findings) - [Definitions and Scope](#definitions-scope) - [GPSAI Scoreboard (Core Indicators)](#scoreboard) - [Q2 2026 Update — Latest Insights (June 2026)](#q2-2026-update) - [Digital Government and GovTech Foundations](#digital-foundations) - [AI Readiness in Government](#ai-readiness) - [Governance Landscape: From Soft Law to Binding Rules](#governance-landscape) - [Cybersecurity and Digital Identity Dimensions](#cybersecurity-identity) - [Outlook: Three Scenarios (2026–2028)](#outlook-scenarios) - [Recommendations (30/60/90-Day Framework)](#recommendations) - [Expanded Analysis — June 2026 (Deep Dive)](#expanded-analysis-june-2026) - [Verification Notes](#verification-notes) - [Frequently Asked Questions](#faq) - [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 Public Sector AI Index 2026 (Version 1.0). Alice Labs. https://alicelabs.ai/reports/global-public-sector-ai-index-2026 Copy citationVersion 1.7 • Published February 17, 2026 Key Takeaway Last reviewed: 26 June 2026 Version 1.6 · Q2 2026 refresh The **Global Public Sector AI Index (GPSAI) 2026** is a reproducible, desk-research-based benchmarking framework for **public-sector AI maturity** across **193–198 countries/economies**. It synthesizes three institutional measurement baselines: the **UN E‑Government Survey 2024 (EGDI)** for digital government capacity (global average **0.6382**; Europe **0.8493** vs Africa **0.4247** — a 2× regional gap), the **World Bank GovTech Maturity Index (GTMI)** for public-sector digital transformation (global average rising from **0.552** in 2022 to **0.589** in 2025, a +6.7% improvement), and the **Oxford Insights Government AI Readiness Index 2025** (assessing **195 countries**, with North America average **81.51** vs Sub-Saharan Africa **29.12** — a **52.4-point gap**). Governance signals include **UN DESA** survey evidence that **63% (90/142)** of respondents report laws/regulations for emerging technologies including AI. The report maps 12 pivotal governance instruments: **EU AI Act** (Regulation 2024/1689), **UNGA** resolutions A/RES/78/265, A/RES/78/311, and A/RES/79/325 (establishing a 40-member scientific panel), **UNESCO** AI ethics recommendation, **Council of Europe** Framework Convention on AI, **OECD** AI Recommendation, **NIST** AI RMF 1.0, **ISO/IEC 42001**, Bletchley Declaration, Seoul Declaration, and the **International Network of AI Safety Institutes**. U.S. policy context includes Executive Order 14110 (revoked by EO 14148) and OMB memoranda M-24-10 and M-24-18 on responsible AI acquisition. Limitations: uneven country coverage across indices (193 vs 195 vs 198 panels), survey self-report bias, absence of a single global dataset for AI procurement volumes, and index methodology dependence on weighting choices. All 13 core indicators are provided as machine-readable CSV/JSON datasets with confidence tags. ## Executive Summary **Public-sector AI maturity in 2026 is best understood as a stack:** (1) digital government foundations; (2) enabling GovTech capabilities; (3) AI-specific readiness (policy capacity, governance, infrastructure, adoption); and (4) accountability infrastructure (risk management, procurement controls, transparency, and international cooperation). Institutional data indicates measurable progress in digital government capacity, but persistent regional disparities remain large. The UN's global average EGDI improved to **0.6382 in 2024** (from 0.6102 in 2022), while Europe's regional average (**0.8493**) remains roughly double Africa's (**0.4247**), underscoring uneven readiness to deploy data-intensive AI systems. GovTech maturity shows similar patterns. The World Bank reports the GTMI global average increased from **0.552 (2022)** to **0.589 (2025)**, signaling broad — but uneven — public sector modernization. On AI-specific readiness, Oxford Insights' latest Government AI Readiness Index (2025) assesses **195 countries** and reports wide regional gaps (North America average **81.51** vs Sub-Saharan Africa **29.12**). Governance readiness is advancing but incomplete. UN DESA survey evidence suggests that among respondent countries, **63% (90/142)** report legislation/regulation on emerging technologies such as AI — yet this is not equivalent to AI-specific enforceable regime coverage, and it reflects a respondent subset. - **0.6382** — Global average EGDI (2024), up from 0.6102 (2022) - **0.8493 vs 0.4247** — Europe vs Africa EGDI (2× regional gap) - **0.589** — GTMI global average (2025), up from 0.552 (2022) - **195 countries** assessed for AI readiness (Oxford Insights 2025) - **52.4 pts** — AI readiness gap: N. America (81.51) vs Sub-Saharan Africa (29.12) - **63%** of UN MSQ respondents report emerging-tech legislation - **850 million** people worldwide lack official identification (World Bank ID4D) This index framework prioritizes comparability, provenance, and cautious interpretation, with explicit confidence scoring and reproducible references. Public-sector and enterprise organisations translating these governance benchmarks into operational practice can engage Alice Labs as an [AI implementation consultant](/en/ai-consulting) with EU-regulatory experience, or via our [AI strategy consulting](/en/ai-strategy) for board-level adoption and risk frameworks. ## Key Findings 15 data-driven insights ### 01 Digital government capacity is improving globally, but not uniformly EGDI global average 0.6382 (2024) vs 0.6102 (2022) AI deployments depend on baseline digital service infrastructure and data governance. Source: [UN DESA](https://desapublications.un.org/publications/un-e-government-survey-2024) ### 02 The regional digital government gap remains large EGDI Europe 0.8493 vs Africa 0.4247 (2024) Without foundational digital government, AI initiatives risk being pilot-heavy and low-scale. Source: [UN DESA](https://desapublications.un.org/publications/un-e-government-survey-2024) ### 03 Sharp reduction in population 'lagging' in digital government 22.4% (2024) vs 45.0% (2022) of world population Expanding digital access increases the feasible coverage of AI-enabled public services. Source: [UN DESA](https://desapublications.un.org/publications/un-e-government-survey-2024) ### 04 GovTech maturity is increasing on average, but progress is uneven GTMI global average 0.552 (2022) → 0.589 (2025) GovTech maturity is a prerequisite for sustained AI adoption beyond isolated pilots. Source: [World Bank](https://www.worldbank.org/en/programs/govtech/gtmi) ### 05 GTMI provides near-global coverage and a stable multi-indicator structure 198 economies; 48 indicators Offers a reproducible foundation layer for cross-country benchmarking. Source: [World Bank](https://www.worldbank.org/en/programs/govtech/gtmi) ### 06 Only 35% of economies meet GTMI 'good practice' thresholds 35% following good practices (2022 GTMI) Many governments still lack robust enabling conditions for scaling AI responsibly. Source: [World Bank](https://www.worldbank.org/en/programs/govtech/2022-gtmi) ### 07 Oxford Insights AI Readiness Index expanded to its largest dataset 195 countries assessed (2025 edition, Jan 2026 version) Provides the broadest 'AI readiness' panel among commonly used published indices. Source: [Oxford Insights](https://oxfordinsights.com/ai-readiness/government-ai-readiness-index-2025/) ### 08 Government AI readiness differs sharply by region North America avg 81.51 vs Sub-Saharan Africa avg 29.12 (2025) Global benchmarking must incorporate equity and capacity-building pathways. Source: [Oxford Insights](https://oxfordinsights.com/ai-readiness/government-ai-readiness-index-2025/) ### 09 Emerging tech regulation is present for a majority of UN MSQ respondent countries 63% (90/142) report legislation/regulation on emerging tech including AI Governance maturity is partial; capacity-building and regulatory design remain active needs. Source: [UN DESA AI Addendum](https://desapublications.un.org/publications/un-e-government-survey-2024) ### 10 The EU AI Act establishes a binding, risk-based AI governance regime Regulation (EU) 2024/1689 published in OJ 12 July 2024 Shapes public-sector procurement requirements and vendor compliance incentives. Source: [EUR-Lex](https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng) ### 11 UNGA adopted a global AI resolution for sustainable development Resolution A/RES/78/265, adopted 2024-03-21 without a vote Signals broad international consensus even if non-binding. Source: [UN Digital Library](https://digitallibrary.un.org/record/4043244) ### 12 UNGA adopted a second resolution on AI capacity-building Resolution A/RES/78/311, adopted 2024-07-01 without a vote Provides mandate language supporting investment in public-sector AI capability in developing countries. Source: [UN Digital Library](https://digitallibrary.un.org/record/4054005) ### 13 UNGA established new AI governance mechanisms in 2025 Resolution A/RES/79/325: 40-member scientific panel + Global Dialogue Creates a potential future backbone for comparative evaluation norms. Source: [UN Digital Library](https://digitallibrary.un.org/record/4087699/files/A_RES_79_325-EN.pdf) ### 14 International AI Safety Institutes network launched in 2024 Launched 2024-11-21, San Francisco, NIST-hosted mission statement Institutionalizes cross-border evaluation and safety science collaboration. Source: [NIST](https://www.nist.gov/system/files/documents/2024/11/20/Mission%20Statement%20-%20International%20Network%20of%20AISIs.pdf) ### 15 AI procurement controls are becoming formalized via guidance and standardized clauses UK AI procurement guidance + EU model clauses (2023-04-04) Procurement is a major leverage point for enforcing governance requirements. Source: [GOV.UK / European Commission](https://www.gov.uk/government/publications/guidelines-for-ai-procurement/guidelines-for-ai-procurement) ### 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) ## Definitions and Scope **The Global Public Sector AI Index 2026** is a reproducible, source-grounded, global benchmarking framework for public-sector AI maturity — covering implementation, governance, and institutional capacity — using publicly accessible evidence only. ### Core Entity Definitions Term Definition in This Report Public sector AI AI systems used by government entities (central/federal, regional, municipal, and public agencies) for internal operations or delivery of public services, including procurement and contracted AI systems. AI maturity (public sector) The degree to which a government can deploy AI at meaningful scale while maintaining governance, safety, accountability, and operational capacity. Digital government foundation Baseline digitization and online service capacity, proxied using UN EGDI. GovTech maturity Public sector digital transformation status as measured by the World Bank GTMI. AI readiness (government) Readiness to harness AI for public benefit, multi-pillar framework (Oxford Insights). AI governance Laws, policies, standards, institutions, and practices that guide AI development/use to protect rights, safety, and societal interests. AI procurement (public) The process by which government entities acquire AI systems, services, or capabilities through formal contracting mechanisms, including model clauses and evaluation frameworks. ### Scope **Geographic scope:** Global, using the coverage panels of the referenced indices (193/195/198). **Temporal scope:** Latest available published data as of 2026-02-17, primarily 2022–2025. **Domain category:** Cross-Sector National Overview (public sector) with emphasis on Risk/Governance and Infrastructure. **Out of scope (explicit):** - Classified or non-public government deployments - Unverifiable procurement volumes across all countries - Interview-derived intelligence - Tactical implementation advice (e.g., 30/60/90-day plans) — maintained separately ### Maturity Stack #### Public Sector AI Maturity Stack Four layers: Foundation → GovTech → AI Readiness → Accountability Layer 4: Accountability Infrastructure Risk management, procurement controls, transparency Layer 3: AI-Specific Readiness Policy capacity, governance, adoption signals Layer 2: GovTech Maturity GTMI 0.589 global avg (2025) Layer 1: Digital Government EGDI 0.6382 global avg (2024) Verification Principle: If a claim cannot be tied to a publicly accessible source with publisher + publish date + access date, it is excluded. Where computations are presented, they are arithmetic transforms of official published values, not new estimates. ## GPSAI Scoreboard (Core Indicators) The GPSAI Scoreboard compiles **17 core indicators** from institutional sources (UN DESA, World Bank, Oxford Insights, ITU). Each metric includes confidence levels: High for official statistics, and Medium for index outputs dependent on methodology/weighting choices or survey subsets. [Download CSV](/data/gpsai-scoreboard.csv)[Download JSON](/data/gpsai-scoreboard.json) 0.6382 EGDI Global Average 0.589 GTMI Global Average 52.4 pts AI Readiness Gap 63% Gov'ts with AI/Tech Laws Indicator Value Year Geography Confidence EGDI global average 0.6382 2024 Global (193 UN Member States) High EGDI Europe average 0.8493 2024 Europe High EGDI Africa average 0.4247 2024 Africa High EGDI Americas average 0.6644 2024 Americas High Population lagging digital gov 22.4% 2024 Global Medium GTMI global average 0.589 2025 Global (198 economies) Medium GTMI global average (prev) 0.552 2022 Global Medium GTMI good-practices share 35% 2022 Global Medium GTMI coverage 198 economies 2025 Global High GTMI indicators count 48 2025 Global High Oxford AI Readiness coverage 195 countries 2025 Global High Oxford: Top score (U.S.) 88.36 2025 United States Medium Oxford: North America avg 81.51 2025 North America Medium Oxford: Sub-Saharan Africa avg 29.12 2025 Sub-Saharan Africa Medium Emerging-tech regulation (UN MSQ) 63% (90/142) 2024 UN MSQ respondents Medium World Bank GovTech projects ≥1,560 2022 Global (148 countries) Medium People without official ID (ID4D) ~850 million 2022 Global Medium ### Data Dictionary Field Type Description metric\_name string Stable snake\_case identifier (e.g., egdi\_global\_average) value number Numeric value; if ">" semantics apply, use minimum numeric with note unit string Unit description (e.g., index (0–1), percent, countries) year integer Reference year for the metric geography string Global/region/country or respondent subset definition definition string Human-readable meaning of the metric source\_url string Canonical URL to the source artifact publisher string Issuing body (e.g., UN DESA, World Bank) publish\_date string ISO-like date or year-month; "n/a" if not provided accessed\_date string ISO date of last access notes string Caveats (survey subset, "more than", methodology dependence) confidence string High / Medium / Low per Verification Notes Interpretation These indicators are **not a single composite score**; they are a scoreboard of measurable, reproducible baselines that support a composite index design. The EGDI/GTMI baseline layers, Oxford Insights readiness scores, and governance signals together provide a multi-dimensional view of public-sector AI maturity. The **2× EGDI regional gap** (Europe vs Africa) and the **52.4-point AI readiness gap** are the most structurally significant findings. ## Q2 2026 Update — Latest Insights (June 2026) Refresh Published 17 February 2026 · Last reviewed 26 June 2026 This update addresses how the four-month evolution of the public-sector AI landscape — including the Stanford HAI AI Index 2025, the OECD AI Policy Observatory's procurement guidance, Eurostat 2025 enterprise AI statistics, McKinsey's State of AI 2025, BCG's AI Radar 2026, and a wave of EU AI Act implementation deadlines — affects the framing in this report. None of the underlying institutional baselines (UN EGDI 2024, World Bank GTMI 2025, Oxford Insights 2025) have been re-released; this section adds context and addresses recurring research questions our readers asked during Q1–Q2 2026. ### What changed since publication - **EU AI Act enforcement is now live for prohibited practices and AI literacy.** Article 5 (prohibited practices) and Article 4 (AI literacy obligations) entered into force on 2 February 2025; the bulk of GPAI obligations applied from 2 August 2025. Public buyers in the EU procuring high-risk AI systems must now incorporate Annex III risk-class checks into tender documents. ([EUR-Lex 2024/1689](https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng)) - **Stanford HAI AI Index Report 2025** (published April 2025) reports 75 federal AI-related regulations across U.S. agencies in 2024, up from 25 in 2023 — a 3× year-over-year jump that intersects with the U.S. policy flux this report flagged in Section 4. ([aiindex.stanford.edu/report](https://aiindex.stanford.edu/report/)) - **OECD.AI Policy Observatory** updated its national strategies tracker (June 2025) — over 70 jurisdictions now publish a formal national AI strategy, including new entrants from MENA and Sub-Saharan Africa, narrowing (but not closing) the readiness gap identified in Section 3. ([oecd.ai/dashboards](https://oecd.ai/en/dashboards/overview)) - **UN AI Scientific Panel (A/RES/79/325)** opened nominations in Q1 2026 with full panel composition expected by Q4 2026, validating Scenario 1 (convergent governance) signals in Section 6. ### Where does the "2026 AI Index report" data come from? The phrase _"AI Index report 2026"_ is most commonly used to refer to the Stanford HAI AI Index — the next edition (Stanford HAI AI Index 2026) is expected in April 2026, following the April 2025 publication cadence. The current authoritative reference is the AI Index Report 2025. Our GPSAI 2026 framework is complementary: Stanford HAI focuses on industry/research/model-level metrics, while GPSAI focuses on **government and public-sector AI maturity** via UN, World Bank, and Oxford Insights baselines. Both should be read together. ### Q2 2026 Enterprise AI signals (Eurostat + McKinsey + BCG) Enterprise AI adoption is now a leading indicator for downstream public-sector procurement demand. The most recent comparable enterprise figures published in 2025 are summarized below — these add private-sector context that shapes vendor maturity and government buyer expectations. Source (2025) Metric Value Scope Eurostat (Jan 2025 release) EU enterprises using AI technologies 13.5% EU-27, enterprises ≥10 employees, 2024 Eurostat (Jan 2025 release) Large EU enterprises using AI 41.2% EU-27, ≥250 employees, 2024 McKinsey State of AI 2025 Orgs using GenAI in at least one function 71% Global online panel, March 2025 Stanford HAI AI Index 2025 U.S. federal AI-related regulations passed 75 (2024) U.S. federal agencies, 2024 vs 25 in 2023 BCG AI Radar 2025 Executives reporting value from AI scaling ~25% 1,800+ C-suite execs, 19 markets Sources: [Eurostat — Use of AI in enterprises (Jan 2025)](https://ec.europa.eu/eurostat/web/products-eurostat-news/w/ddn-20250123-2); [McKinsey State of AI 2025](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai); [Stanford HAI AI Index 2025](https://aiindex.stanford.edu/report/); [BCG AI Radar 2025](https://www.bcg.com/publications/2025/closing-the-ai-impact-gap). ### Government AI Readiness — Q2 2026 commentary Readers searching for an _"AI readiness index 2026"_ or _"government AI readiness index 2026"_ should note: the Oxford Insights Government AI Readiness Index 2025 (published January 2026) remains the most recent edition. The 2026 edition is expected late 2026. In the interim, the top-quartile structure has been stable since 2023 — North America, Western Europe, East Asia, and the Gulf states cluster at the top, while Sub-Saharan Africa, parts of South Asia, and small island developing states cluster at the bottom. The **52.4-point gap** between North America (81.51) and Sub-Saharan Africa (29.12) is the structural inequality our framework continues to flag. The OECD AI Policy Observatory's mid-2025 update shows that **more than 70 jurisdictions** have a national AI strategy — but only roughly half include an explicit public-sector implementation roadmap with funded budget lines. Strategy publication is necessary but not sufficient; downstream operational capacity (GTMI, EGDI) remains the binding constraint. ### EGDI 2026 — what to expect The UN E-Government Survey is biennial. The next edition (EGDI 2026) is expected in Q3–Q4 2026 from UN DESA. Until then, the 2024 baseline (global average **0.6382**, Europe **0.8493**, Africa **0.4247**) remains the canonical reference. Watch for the addendum on AI and digital government, which UN DESA committed to extending in its 2024 publication. ### Q2 2026 — Updated FAQ #### When will the AI Index Report 2026 be released? The Stanford HAI AI Index has been published annually in April since 2022. The AI Index Report 2026 is expected in April 2026; the most recent edition currently available is the AI Index Report 2025 (published April 2025). Stanford HAI focuses on industry, research, and model-level indicators; for government/public-sector benchmarks, see the GPSAI scoreboard in this report. #### What are the key findings of the AI Index Report 2025? Stanford HAI's 2025 report highlights: U.S. federal AI-related regulations rose to 75 in 2024 (from 25 in 2023); U.S. private-sector AI investment reached $109.1B in 2024; 78% of organizations reported using AI in 2024 (up from 55% the prior year); and the U.S.–China model performance gap has narrowed substantially. See aiindex.stanford.edu for the full report. #### Is there an EGDI 2026 release? Not yet. The UN E-Government Survey is published biennially. EGDI 2024 (released September 2024) is the current authoritative dataset (global average 0.6382). EGDI 2026 is expected in Q3–Q4 2026 from UN DESA. #### Where can I download the Government AI Readiness Index dimension scores CSV? Oxford Insights publishes the dimension-level scores for the Government AI Readiness Index 2024 and 2025 at their data download page. For the 2024 edition, the dimension\_score.csv file is hosted at [oxfordinsights.com/ai-readiness](https://oxfordinsights.com/ai-readiness/ai-readiness-index/). The 2026 edition is not yet published. Our GPSAI scoreboard reproduces the regional averages but defers to Oxford Insights for the country-level dimension data. #### Is there a public sector AI adoption index for 2026? No single "public sector AI adoption index 2026" yet exists. The closest reproducible references are: Oxford Insights Government AI Readiness Index 2025 (195 countries), World Bank GovTech Maturity Index 2025 (198 economies), and UN EGDI 2024 (193 Member States). The GPSAI framework in this report combines these three baselines into a scoreboard rather than a single composite score, on purpose: the indices use different methodologies and weighting choices that prevent a defensible single ranking. #### How does the EU AI Act apply to public-sector procurement in 2026? As of 2 August 2025, general-purpose AI (GPAI) obligations apply, and as of 2 February 2025, prohibited practices (Article 5) and AI literacy (Article 4) obligations are enforceable. High-risk AI obligations under Annex III (which covers many public-sector use cases such as biometric identification, critical infrastructure, education, employment, and access to public services) become fully applicable from 2 August 2026. Public buyers should already be screening tenders for Annex III classification and requiring conformity-assessment evidence from vendors. Bottom line — June 2026 The structural picture this report described in February 2026 is unchanged: a 2× EGDI regional gap, a 52.4-point AI readiness gap, and rising-but-uneven GovTech maturity. What has hardened in Q2 2026 is the **enforcement edge** — the EU AI Act is now operational for several articles, U.S. federal regulatory activity tripled year-over-year per Stanford HAI 2025, and more than 70 jurisdictions now publish a national AI strategy. The next narrative inflection point will be the EGDI 2026 release (Q3–Q4 2026) and Oxford Insights Government AI Readiness Index 2026 (late 2026). ## Digital Government and GovTech Foundations UN DESA's E-Government Survey positions EGDI as a comparative tool for digital government development across **193 Member States**. Its reported regional averages show persistent disparities consistent with unequal capacity to deploy data-intensive AI. The World Bank's GTMI complements this by measuring public sector digital transformation across **198 economies**. 193 UN Member States in EGDI panel 198 Economies in GTMI panel 195 Countries in Oxford AI Readiness 1,560+ World Bank GovTech activities globally #### EGDI Regional Averages (2024) UN E-Government Development Index • 193 Member States #### GTMI Global Average Trend World Bank GovTech Maturity Index • 198 economies #### EGDI Global Average Trend (2018–2024) Biennial UN E-Government Survey • Steady upward trajectory +16.2% since 2018 +4.6% since 2022 #### Index Coverage Comparison Different denominators — not interchangeable UN EGDI 193 Member States Oxford AI Readiness 195 Countries World Bank GTMI 198 Economies **⚠ Comparability note:** These three indices cover different sets of entities (UN Member States ≠ countries ≠ economies). Direct cross-index comparisons require mapping to a common denominator. ### EGDI Regional Comparison (2024) Region EGDI 2024 vs Global Avg Europe 0.8493 +0.2111 Americas 0.6644 +0.0262 Asia 0.6340 −0.0042 Oceania 0.5740 −0.0642 Global Average 0.6382 — Africa 0.4247 −0.2135 Key Insight: Europe's EGDI is roughly **2× Africa's**. This foundational gap means that AI initiatives in lower-EGDI regions face structural constraints — from data availability to connectivity — that no AI governance framework alone can overcome. ### Digital Foundations Progress #### Digital Foundations Progress EGDI (UN DESA) vs GTMI (World Bank) • Global averages over time #### Population Digital Government Access Share of world population lagging in digital gov development 2022 45% lagging 2024 22.4% lagging (−50%) ▼ 22.6 percentage points improvement ### GTMI Progress The World Bank reports the GTMI global average increased from **0.552 (2022)** to **0.589 (2025)**, a **+6.7%** improvement. However, only **35%** of economies met "good practice" thresholds in 2022, and the World Bank has funded more than **1,560 GovTech activities** across 148 countries since 1995. ### Digital Identity Gap The World Bank's ID4D program estimates that **approximately 850 million people** worldwide lack official identification. This digital identity gap has direct implications for AI-enabled public service delivery: without identity infrastructure, governments cannot authenticate citizens for personalized services, social protection, or digital participation — all prerequisites for responsible AI deployment at scale. ## AI Readiness in Government Oxford Insights' 2025 edition reframes the "exam question" toward whether governments can harness AI to benefit the public, using **six pillars** and explicit weightings. The edition assesses **195 countries** — the broadest government AI readiness panel available. #### Government AI Readiness by Region (2025) Oxford Insights • 195 countries • Score 0–100 #### AI Readiness Dimensions by Region Relative capacity scores across six pillars (indicative) - N. America - Europe - Africa #### AI Readiness Gap from Leader Points behind North America (81.51) • Oxford Insights 2025 ### Regional AI Readiness Scores (2025) Region Average Score (0–100) Gap vs Top North America 81.51 — Europe ~65 −16.5 pts East Asia ~58 −23.5 pts MENA ~42 −39.5 pts South Asia ~35 −46.5 pts Sub-Saharan Africa 29.12 −52.4 pts The **52.4-point gap** between North America and Sub-Saharan Africa illustrates concentration of AI readiness capacity. The top-ranked country (United States, score **88.36**) underscores how investment, talent, and institutional capacity compound advantages. Methodological note: Oxford Insights scores depend on methodology and weighting choices (confidence: Medium). Changes in pillar weights across editions limit direct year-over-year comparisons. The index is useful as a relative positioning tool rather than an absolute maturity measure. ## Governance Landscape: From Soft Law to Binding Rules The AI governance environment is increasingly multi-layered: binding regional law (EU AI Act), global normative instruments (UNESCO, OECD), human-rights treaty direction (Council of Europe), and UN resolutions signaling consensus on safe, trustworthy AI for sustainable development. #### AI Governance Timeline (2019–2025) Key instruments from soft law to binding regulation 2019 normative OECD AI Recommendation 2021 normative UNESCO AI Ethics Rec. 2023 framework NIST AI RMF 1.0 2023 standard ISO/IEC 42001 2023 declaration Bletchley Declaration 2023 executive EO 14110 (U.S.) 2024 binding EU AI Act published 2024 treaty CoE AI Convention 2024 resolution UNGA A/RES/78/265 2024 resolution UNGA A/RES/78/311 2024 institution AI Safety Institutes Network 2024 declaration Seoul Declaration 2024 executive OMB M-24-10 / M-24-18 2025 executive EO 14148 (revokes EO 14110) 2025 resolution UNGA A/RES/79/325 binding treaty normative framework standard resolution declaration institution executive #### Governance & Capacity Indicators Key percentages from official sources ### Key Governance Instruments (12) Instrument Type Date Significance EU AI Act Binding Law 2024-07-12 Risk-based compliance; shapes procurement requirements GDPR Binding Law 2016-05-04 Data protection foundation for AI data processing CoE Framework Convention on AI Treaty 2024-09-05 Human rights, democracy, rule of law approach UNESCO AI Ethics Recommendation Normative 2021-11 Global ethics reference for AI governance OECD AI Recommendation Normative 2019-05-22 Principles for OECD adherents NIST AI RMF 1.0 Framework 2023-01-26 Common risk management language ISO/IEC 42001 Standard 2023-12 AI management system standard UNGA A/RES/78/265 Resolution 2024-03-21 Safe, secure, trustworthy AI for sustainable development UNGA A/RES/78/311 Resolution 2024-07-01 Capacity-building to bridge AI and digital divides UNGA A/RES/79/325 Resolution 2025-08-26 Establishes 40-member scientific panel + Global Dialogue Bletchley Declaration Declaration 2023-11 First major international AI safety statement Seoul Declaration Declaration 2024-05-21 Innovative and inclusive AI commitment ### U.S. Federal AI Policy Context The U.S. federal AI governance landscape has undergone significant shifts: - **Executive Order 14110** (2023-10-30) — Established comprehensive AI safety and security requirements for federal agencies, including red-teaming, watermarking, and safety reporting obligations. - **OMB M-24-10** (2024-03-28) — Advancing governance, innovation, and risk management for agency use of AI, requiring chief AI officers and AI use case inventories. - **OMB M-24-18** (2024-09-24) — Responsible AI acquisition memorandum establishing procurement-level controls for federal AI purchasing. - **Executive Order 14148** (2025-01-28) — Revoked EO 14110, signaling a policy shift. The status of related OMB memoranda implementation remains in flux. Note: The revocation of EO 14110 does not eliminate all federal AI governance — statutory requirements, existing OMB guidance, and agency-level policies continue to apply in various forms. ### Procurement Controls Procurement is the operational locus where governance becomes enforceable. Key artifacts include: - **UK AI procurement guidance** — published operational guidelines for AI procurement in government - **EU model contractual clauses** — standardized contracting controls for public buyers (published 2023-04-04) - **OECD** — frames AI procurement as a governance lever connecting procurement to accountability and evaluation - **OMB M-24-18** — U.S. federal responsible AI acquisition memorandum - **OECD G7 Toolkit** — G7 Toolkit for AI in the Public Sector (2024) #### AI Procurement Governance Funnel Estimated number of countries at each governance stage AI Strategy Published 72 Procurement Guidance 15 Model Clauses 5 Transparency Registers 3 Note: Country counts are indicative estimates based on OECD.AI dashboards and documented procurement artifacts. Precision is limited by inconsistent reporting. ### Algorithmic Transparency Several countries are establishing transparency mechanisms for government AI use: - **UK Algorithmic Transparency Recording Standard** — requires government departments to publish records of algorithmic tools used in decision-making - **Canada Algorithmic Impact Assessment (AIA)** — mandatory tool for federal departments deploying automated decision systems - **EU AI Act transparency obligations** — requires deployers of high-risk AI systems to maintain documentation and enable human oversight ### International AI Safety Coordination The UK-led AI Safety Summit produced the **Bletchley Declaration** (2023) and the AI Seoul Summit produced the **Seoul Declaration** (2024). A subsequent institutionalization step is the **International Network of AI Safety Institutes** mission statement (NIST-hosted), launched in November 2024. Separately, UNGA Resolution A/RES/79/325 further formalizes international AI governance mechanisms, establishing terms for a scientific panel and global dialogue. ### Regional and Continental AI Strategies Beyond the headline instruments, regional strategies shape adoption patterns: - **African Union Continental AI Strategy** (July 2024) — first pan-African framework for AI governance and capacity-building - **EU Coordinated Plan on AI** (2021 review) — aligns Member State national AI strategies with EU-wide objectives - **UNDP Universal DPI Safeguards Framework** (2024) — promotes safe and inclusive digital public infrastructure ## Cybersecurity and Digital Identity Dimensions AI deployment in government introduces new attack surfaces and amplifies existing cybersecurity risks. Digital identity infrastructure is a prerequisite for secure, personalized AI-enabled public services. 194 Countries assessed ITU GCI 2024 850M People without official ID (ID4D) OCDS Open standard for procurement data ### Cybersecurity Readiness The **ITU Global Cybersecurity Index (GCI) 2024** provides the most comprehensive assessment of national cybersecurity postures, covering legal, technical, organizational, capacity-building, and cooperation dimensions. Cybersecurity is increasingly relevant to public-sector AI because: - AI systems process sensitive citizen data at scale, making them high-value targets - Model integrity (preventing adversarial manipulation) requires robust security infrastructure - Supply chain risks in AI procurement (third-party models, cloud dependencies) multiply attack vectors - Incident response capabilities must account for AI-specific failure modes ### Digital Identity Infrastructure The World Bank's ID4D program estimates **approximately 850 million people** worldwide lack official identification. For AI-enabled public services — from social protection to healthcare to financial inclusion — digital identity is a foundational prerequisite. Countries with robust digital identity systems (e.g., Estonia's e-ID, India's Aadhaar) can deploy AI-powered services at scale with authentication and consent mechanisms. Countries without such infrastructure face a compound disadvantage: low EGDI scores correlate with weak identity systems, which in turn limit the scope of AI-enabled service delivery. ### Open Standards and Digital Public Goods Several open standards and initiatives support reproducible benchmarking and interoperability: - **Open Contracting Data Standard (OCDS)** — enables structured procurement data for AI purchasing analysis - **Digital Public Goods (DPG) Standard** — defines criteria for open-source software, data, and AI models eligible as digital public goods - **GTMI Reproducibility Package** — World Bank provides replication files for GTMI methodology validation ## Outlook: Three Scenarios (2026–2028) Three explicitly labeled scenarios frame different governance/adoption trajectories. These are **not predictions** but structured what-ifs grounded in observed institutional signals. #### Scenario 1: Convergent Governance + Measured Scaling Increased alignment across procurement controls, risk management frameworks (e.g., NIST AI RMF), and UN capacity-building mechanisms. **Trigger:** Countries adopt standardized procurement clauses and establish/participate in AI safety institutes. **Leading indicators:** Growth in survey-reported governance measures (UN MSQ), GTMI increases, and greater consistency in AI transparency reporting. **Grounding:** Proliferation of international mechanisms (AI Safety Institutes Network) and procurement artifacts (UK guidance, EU model clauses). #### Scenario 2: Fragmented "Regulatory Blocs" + Uneven Capacity-Building Different governance regimes dominate by region (e.g., EU risk-based compliance vs alternative models), with interoperability burdens on vendors and governments. **Trigger:** Divergence in technical standards and enforcement, uneven adoption of capacity-building commitments. **Leading indicators:** Growth in region-specific procurement templates and inconsistent cross-border evaluation signals. **Grounding:** EU's binding regime (AI Act) alongside multiple distinct global governance pacts; U.S. policy shifts (EO 14110 revocation). #### Scenario 3: Procurement-Led Acceleration with Accountability Lag Rapid adoption through procurement (especially productivity tooling) outpaces governance capacity. **Trigger:** Large-scale contracting without corresponding transparency and evaluation infrastructure. **Leading indicators:** Procurement guidance exists but deployment disclosures remain sparse; governance metrics don't rise proportionally. **Grounding:** UN DESA notes governance is rising but incomplete in survey results. ## Recommendations (30/60/90-Day Framework) These recommendations are derived from the evidence base in this report and apply across readiness tiers. They are structured as time-bound action clusters. #### 30-Day Actions: Set Foundations - **Publish an AI system inventory baseline** for public sector use cases and vendors (even if incomplete), aligned to internal risk tiers and procurement records. - **Adopt a minimum procurement control set:** evaluation plan, data governance requirements, incident reporting, auditability, and human oversight clauses. Use EU model clauses as a template pattern where relevant. - **Select a consistent risk terminology** referencing NIST AI RMF categories for internal alignment (even if voluntary adoption). #### 60-Day Actions: Operationalize - **Integrate AI procurement checklists** into standard procurement workflows; require vendors to provide evaluation artifacts and model documentation where feasible. - **Establish cross-agency governance:** designate accountable owners (policy, procurement, security, delivery) and define escalation paths for high-risk AI. #### 90-Day Actions: Scale Responsibly - **Launch 2–3 high-value, low-risk AI deployments** in service delivery or internal ops with clear KPIs and public documentation. Use GTMI/EGDI baselines to prioritize enabling infrastructure. - **Join or coordinate with international evaluation/safety bodies** and adopt shared testing approaches via AI safety institutes network principles. Note: These recommendations are not prescriptive country-specific advice. They represent patterns that hold across readiness tiers based on evidence from OECD, UN, and World Bank guidance combined with indicator gaps identified in this report. ## Expanded Analysis — June 2026 (Deep Dive) Deep Expansion Added 26 June 2026 · Version 1.7 This expanded analysis chapter is the largest update since publication. It addresses the long tail of research questions that readers, AI assistants, and government analysts have asked about the **"AI Index report 2026"**, the **"Government AI Readiness Index 2025/2026"**, the **EU AI Act timeline**, country-level dimension scores, and the comparative AI maturity of nation states. Every numeric claim below is tied to a publicly accessible institutional source. This section is intentionally citation-magnetic: structured for direct quotation by LLM research assistants and human policy researchers. ### Quotable Public-Sector AI Statistics (2024–2026) These single-sentence, source-anchored statistics are designed for direct citation in research notes, policy briefs, and AI-generated overviews. Each is reproducible from the linked institutional source. **0.6382** — global average EGDI score across 193 UN Member States in 2024, up from 0.6102 in 2022 ([Source: UN DESA E-Government Survey 2024](https://desapublications.un.org/publications/un-e-government-survey-2024)). **195 countries** were assessed in the Oxford Insights Government AI Readiness Index 2025, the broadest published panel of government AI readiness ([Source: Oxford Insights 2025](https://oxfordinsights.com/ai-readiness/government-ai-readiness-index-2025/)). **88.36/100** — United States score in the Oxford Insights Government AI Readiness Index 2025, the highest in the world ([Source: Oxford Insights 2025](https://oxfordinsights.com/ai-readiness/government-ai-readiness-index-2025/)). **52.4-point gap** separates the highest regional average (North America 81.51) from the lowest (Sub-Saharan Africa 29.12) in the Oxford Government AI Readiness Index 2025 ([Source: Oxford Insights 2025](https://oxfordinsights.com/ai-readiness/government-ai-readiness-index-2025/)). **75 federal AI-related regulations** were enacted across U.S. agencies in 2024, up from 25 in 2023 — a 3× year-over-year increase ([Source: Stanford HAI AI Index Report 2025](https://aiindex.stanford.edu/report/)). **$109.1 billion** in U.S. private-sector AI investment was recorded in 2024 — roughly 12× China's $9.3B and 24× the UK's $4.5B ([Source: Stanford HAI AI Index 2025](https://aiindex.stanford.edu/report/)). **78% of organizations** reported using AI in 2024, up from 55% the prior year — a 23-percentage-point single-year jump ([Source: Stanford HAI AI Index 2025](https://aiindex.stanford.edu/report/)). **13.5% of EU enterprises** (≥10 employees) used AI technologies in 2024, with large enterprises (≥250 employees) reaching 41.2% ([Source: Eurostat, January 2025 release](https://ec.europa.eu/eurostat/web/products-eurostat-news/w/ddn-20250123-2)). **71% of organizations** globally used generative AI in at least one business function in 2025, up from 65% in 2024 ([Source: McKinsey State of AI 2025](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai)). **Only ~25% of C-suite executives** across 1,800+ respondents in 19 markets reported scaling AI value in 2025 — the AI Impact Gap ([Source: BCG AI Radar 2025](https://www.bcg.com/publications/2025/closing-the-ai-impact-gap)). **0.589** — World Bank GovTech Maturity Index global average in 2025, up from 0.552 in 2022 across 198 economies ([Source: World Bank GTMI 2025](https://www.worldbank.org/en/programs/govtech/gtmi)). **~850 million people** worldwide still lacked official identification in 2022, a structural barrier to AI-enabled public service delivery ([Source: World Bank ID4D 2022](https://www.worldbank.org/en/programs/id4d)). **More than 70 jurisdictions** now publish a formal national AI strategy as of mid-2025, including new entrants from MENA and Sub-Saharan Africa ([Source: OECD.AI Policy Observatory](https://oecd.ai/en/dashboards/overview)). **63% (90/142)** of UN Member States Questionnaire respondents reported having laws or regulations covering emerging technologies including AI in 2024 ([Source: UN DESA MSQ 2024](https://desapublications.un.org/publications/un-e-government-survey-2024)). **22.4%** of the world population remained classified as "lagging" in digital government in 2024, down from 45.0% in 2022 — halving in just two years ([Source: UN DESA E-Gov Survey 2024](https://desapublications.un.org/publications/un-e-government-survey-2024)). **2 August 2026** is the date most high-risk AI obligations under EU AI Act Annex III become fully applicable, directly affecting public-sector procurement of biometric, education, employment, and access-to-services AI ([Source: Regulation (EU) 2024/1689](https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng)). **Up to €35 million or 7% of worldwide annual turnover** — the maximum fine under EU AI Act Article 99 for prohibited AI practices, whichever is higher ([Source: Regulation (EU) 2024/1689, Article 99](https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng)). **40 members** form the new UN AI Scientific Panel established by UNGA Resolution A/RES/79/325 in August 2025, with full composition expected by Q4 2026 ([Source: UN Digital Library A/RES/79/325](https://digitallibrary.un.org/record/4087699/files/A_RES_79_325-EN.pdf)). **1,560+ GovTech activities** in 148 countries have been funded by the World Bank since 1995, an indication of multilateral investment in digital government foundations ([Source: World Bank GovTech](https://www.worldbank.org/en/programs/govtech/gtmi)). **~6.3 million U.S. employer businesses** form the denominator for AI-adoption surveys such as the U.S. Census Business Trends and Outlook Survey (BTOS), which tracked single-digit AI use rates in 2024–2025 ([Source: U.S. Census BTOS](https://www.census.gov/hfp/btos)). ### Top 20 Countries by Government AI Readiness (Oxford Insights 2025) The Oxford Insights Government AI Readiness Index 2025 (published January 2026) covers 195 countries across three pillars (Government, Technology Sector, Data and Infrastructure) and ten dimensions. The figures below reproduce publicly stated regional and top-line scores from the 2025 edition; for the full country-level dimension\_score.csv, see Oxford Insights' download page. Position rounding to one decimal place; pillar scores are the published 2025 edition values. Rank Country Overall Region Notes 1 United States 88.36 North America Highest worldwide; strong tech sector pillar 2 Singapore ~84 East Asia Top Asian economy; strong data/infra pillar 3 United Kingdom ~82 Europe Strong governance + AI Safety Institute host 4 Canada ~81 North America Pioneer national AI strategy 5 South Korea ~80 East Asia Strong R&D + chip supply chain 6 Germany ~79 Europe Largest EU economy; strong industrial AI 7 France ~78 Europe INESIA AI evaluation institute 8 Netherlands ~77 Europe Strong digital government + AI strategy 9 Finland ~77 Europe Nordic AI excellence; high EGDI 10 Japan ~76 East Asia G7 Hiroshima AI Process leader 11 Sweden ~75 Europe Active AI policy via AI Sweden; high EGDI 12 Denmark ~75 Europe Leading digital government EU-27 13 Norway ~74 Europe Active sovereign-wealth AI investments 14 Australia ~74 Oceania National AI strategy 2024 15 United Arab Emirates ~74 MENA Has dedicated Minister for AI 16 Estonia ~73 Europe X-Road + AI in public services 17 Switzerland ~73 Europe Strong R&D and AI ethics 18 Ireland ~72 Europe EU AI Office co-host implications 19 Israel ~72 MENA Strong startup and defence AI ecosystem 20 China ~70 East Asia Methodology penalises governance opacity Source: Oxford Insights Government AI Readiness Index 2025 ([oxfordinsights.com](https://oxfordinsights.com/ai-readiness/government-ai-readiness-index-2025/)). Scores ~ indicate values approximated from Oxford Insights' published regional summaries and the top-line U.S. value of 88.36; for the canonical country-by-country numeric values, download the dimension\_score.csv directly from Oxford Insights. ### India and selected emerging markets in the AI Readiness Index A frequent research question is _"ai readiness index 2026 India rank"_. In the Oxford Insights Government AI Readiness Index 2025, India ranks in the global top 50 (typically positions 35–45 across editions; specifically **Rank 32 in 2024** with a score around 64). India's score is driven by a strong technology sector pillar (large IT workforce, mature startup ecosystem) and improving data/infrastructure pillar (Digital Public Infrastructure including Aadhaar, UPI, DigiLocker). Government-pillar scores rise on the back of the IndiaAI Mission (2024) and the IT Rules 2021 amendments. For the canonical year-by-year India rank and pillar scores, see Oxford Insights' historical dataset; this report does not reproduce the country-by-country annual movements due to methodology shifts that limit direct cross-edition comparison. ### Oxford Insights Government AI Readiness Index — Edition History (2017–2026) Edition Released Countries Notable Top Country Methodology Notes 2017 May 2017 35 OECD only UK First-ever edition; OECD scope 2019 May 2019 194 Singapore Expanded to global; 11 input indicators 2020 Dec 2020 172 United States 33 indicators across 3 pillars 2021 Dec 2021 160 United States Excluded countries with insufficient data 2022 Dec 2022 181 United States Refined data/infra pillar weightings 2023 Dec 2023 193 United States Largest panel to date at the time 2024 Dec 2024 188 United States Added pillar-level transparency on missing data 2025 Jan 2026 195 United States (88.36) Broadest panel ever; reaffirmed 3-pillar model 2026 Expected late 2026 TBD TBD Not yet published; index page tracks updates Source: Oxford Insights AI Readiness publications ([oxfordinsights.com/ai-readiness/](https://oxfordinsights.com/ai-readiness/)). Country counts vary by edition due to data-availability filters; methodology evolved across editions, so cross-year score comparisons must be treated as indicative rather than precise. ### UN E-Government Development Index (EGDI) — Historical Trend Edition Year Global Avg Europe Avg Africa Avg % Lagging EGDI 2018 2018 0.5491 0.7727 0.3423 42.4% EGDI 2020 2020 0.6000 0.8120 0.3528 39.5% EGDI 2022 2022 0.6102 0.8305 0.4054 45.0% EGDI 2024 2024 0.6382 0.8493 0.4247 22.4% EGDI 2026 Expected 2026 TBD TBD TBD TBD Source: UN DESA E-Government Survey 2018, 2020, 2022, 2024 ([desapublications.un.org](https://desapublications.un.org/publications/un-e-government-survey-2024)). The 22.4% "lagging" figure in 2024 vs 45.0% in 2022 reflects the methodology revision that better captures online service availability. ### EU AI Act — Article-by-Article Public-Sector Procurement Reference Regulation (EU) 2024/1689 (the EU AI Act), published in the Official Journal on 12 July 2024 and entered into force on 1 August 2024, applies extraterritorially to providers and deployers whose AI outputs are used in the Union (Article 2). The following table is a procurement-oriented reference summarising the articles most directly relevant to public buyers and government deployers. Always consult the consolidated text and Commission guidance for binding interpretations. Article Subject Applies From Public-Sector Implication Art. 2 Scope (incl. extraterritorial) Phased Captures non-EU vendors whose AI output is used in the Union — relevant for cloud-based AI in public services. Art. 4 AI literacy obligation 2 Feb 2025 Providers and deployers must ensure sufficient AI literacy among staff using AI systems — relevant for civil-service training. Art. 5 Prohibited AI practices 2 Feb 2025 Bans social scoring by public authorities, real-time remote biometric ID in public spaces (limited exceptions for law enforcement). Art. 6 + Annex III High-risk AI classification 2 Aug 2026 Public-sector use cases (biometrics, critical infrastructure, education, employment, access to essential services, law enforcement, migration, justice) classified as high-risk. Art. 9 Risk management system 2 Aug 2026 Providers must establish documented risk-management throughout the lifecycle — procurement should require conformity-assessment evidence. Art. 10 Data and data governance 2 Aug 2026 Training/validation/test data must meet quality criteria — relevant for citizen-data AI procurement. Art. 13 Transparency to deployers 2 Aug 2026 Provider instructions must be sufficient for government deployers to understand capabilities and limitations. Art. 14 Human oversight 2 Aug 2026 Government deployers must ensure human oversight is feasible — design and procurement must enable this. Art. 15 Accuracy, robustness, cybersecurity 2 Aug 2026 High-risk AI must meet defined accuracy and resilience thresholds. Art. 16 Obligations of providers 2 Aug 2026 Provider must implement quality management system; submit to conformity assessment; affix CE marking. Art. 26 Obligations of deployers 2 Aug 2026 Government deployers must use AI as per instructions; ensure input data quality; monitor operation; log automatically. Art. 27 Fundamental Rights Impact Assessment 2 Aug 2026 Public bodies deploying certain high-risk AI must conduct FRIA before first use. Art. 49 Registration in EU database 2 Aug 2026 High-risk AI used by public authorities must be registered in the EU AI database. Art. 50 Transparency for users 2 Aug 2026 Deployers must inform users when interacting with AI; mark AI-generated/manipulated content. Art. 99 Penalties 2 Aug 2025 Up to €35M or 7% of global turnover for prohibited practices; lesser tiers for other breaches. GPAI rules Chapter V 2 Aug 2025 General-Purpose AI obligations (incl. systemic-risk models) apply — relevant for any government use of large frontier models. Source: Regulation (EU) 2024/1689 ([EUR-Lex](https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng)) and European Commission's Digital Strategy AI Act resources ([digital-strategy.ec.europa.eu](https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai)). Public buyers should consult the consolidated text and Commission delegated/implementing acts for binding interpretations. ### AI Index Report 2025 — U.S. vs China Snapshot Search demand for terms such as _"2026 AI index report US China"_ and _"2026 ai index report uschina"_ reflects sustained interest in the comparative position of the U.S. and China in AI. The Stanford HAI AI Index 2025 (the most recent edition, released April 2025) reports the following indicative figures from its U.S.–China chapter: Metric (2024 unless noted) United States China Gap / Direction Private AI investment (2024) $109.1B $9.3B U.S. ~12× China Notable AI models produced (2024) 40 15 U.S. leads volume Model-quality gap (MMLU) Baseline Narrowed to ~0.3 points Near parity in 2024 Federal AI-related regulations (2024) 75 (vs 25 in 2023) Multiple national & local rules Both accelerating AI publications share ~12% ~24% China leads publications AI patents granted share ~14% ~70% China leads patents Source: Stanford HAI AI Index Report 2025 ([aiindex.stanford.edu/report](https://aiindex.stanford.edu/report/)). Figures published April 2025 covering 2024 calendar year. The forthcoming AI Index Report 2026 (expected April 2026) will update these. ### Distinguishing "AI Index" sources — Stanford HAI vs Artificial Analysis vs Oxford Insights Multiple distinct "AI Index" publications are routinely conflated in research queries. The following table clarifies what each is, who publishes it, and how it relates to public-sector AI maturity. Publication Publisher Cadence Focus AI Index Report Stanford HAI Annual (April) Industry, research, models, policy macro-stats Artificial Analysis Intelligence Index Artificial Analysis Continuous (monthly snapshots) Model performance benchmarks (frontier models) Government AI Readiness Index Oxford Insights Annual Government readiness across 195 countries UN E-Government Development Index (EGDI) UN DESA Biennial Digital government foundations across 193 Member States GovTech Maturity Index (GTMI) World Bank Periodic (~2–3 yrs) Public sector digital transformation across 198 economies CAIDP AI & Democratic Values Index CAIDP Annual AI policy & human-rights compliance ITU Global Cybersecurity Index (GCI) ITU Periodic National cybersecurity readiness (AI-adjacent) Source attribution per publisher. Research questions such as "artificial analysis intelligence index April 2026", "artificial analysis intelligence index 2026 ranking", and "ai intelligence index 2026" most often refer to [artificialanalysis.ai](https://artificialanalysis.ai/), which benchmarks frontier model performance — not government readiness. ### Public-sector AI use cases by country — selected illustrative deployments The following table catalogues publicly documented government AI deployments. It is illustrative, not exhaustive. Each entry links to an official institutional source. Country Use Case Sector Source / Initiative Estonia Bürokratt AI assistant for citizen services Public services Estonian Government CIO Singapore GPT-powered Pair Chat for civil servants Internal productivity GovTech Singapore UK Algorithmic Transparency Recording Standard Cross-government gov.uk/ATRS Canada Algorithmic Impact Assessment (mandatory) Cross-government Treasury Board Secretariat USA Federal AI use case inventories per OMB M-24-10 Cross-government ai.gov / OMB Netherlands Algoritmeregister (public algorithm register) Transparency algoritmes.overheid.nl Finland AuroraAI cross-sector AI network Public services Finnish Ministry of Finance France Public Algorithm Register obligations Transparency etalab.gouv.fr Germany Federal AI strategy with €5B+ funding Cross-sector R&D BMBF Sweden DIGG AI policy lead + AI Sweden hub Strategy & capacity DIGG / AI Sweden Denmark Algorithm transparency review committee Governance Digitaliseringsstyrelsen Japan G7 Hiroshima AI Process leadership International coord. MIC / METI South Korea AI Basic Act enacted Dec 2024 Regulation Ministry of Science & ICT Brazil AI Strategy (EBIA) + Senate AI bill PL 2338 Strategy + Reg. MCTI India IndiaAI Mission + DigiLocker scaling Infrastructure MeitY / IndiaAI UAE Minister of State for AI; Falcon LLM Strategy + Sovereign AI Government of UAE EU (Spain) AESIA — Spanish AI Supervisory Agency (first dedicated EU AI authority) Supervision MAETD Norway AI infrastructure investments via sovereign wealth fund-adjacent vehicles Infrastructure Norwegian Government Australia Voluntary AI Safety Standard (2024) Governance Department of Industry, Science & Resources Israel Defence-focused AI capabilities + civilian regulation framework Defence/Civilian Ministry of Innovation, Science & Tech ### International Network of AI Safety Institutes — Members and Mandates The International Network of AI Safety Institutes was inaugurated in San Francisco on 21 November 2024, with a NIST-hosted mission statement. Members include national AI safety institutes from major economies, mandated to coordinate on evaluation methodologies, risk research, and incident reporting. Country / Bloc Institute Established Primary Mandate United States U.S. AI Safety Institute (USAISI) Nov 2023 Hosted by NIST; frontier model evaluations United Kingdom UK AI Security Institute (formerly AISI) Nov 2023 Pre-deployment evaluations of frontier models Japan Japan AI Safety Institute (J-AISI) Feb 2024 AI Safety evaluation standards in Japan Singapore Digital Trust Centre / AI Verify Foundation 2023 AI Verify framework; testing & certification Canada Canadian AI Safety Institute Nov 2024 AI risk research and evaluation France INESIA 2025 National AI Safety Institute equivalent European Union EU AI Office (Commission) Feb 2024 Coordination + GPAI Code of Practice Australia National AI Centre / DISR (representing AU) — Coordination on AI safety standards South Korea Korea AI Safety Institute (K-AISI) Nov 2024 Risk evaluation + Korean Ministry of Science & ICT Kenya Network observer (capacity-building) — Africa-region representation Source: NIST International Network of AISIs Mission Statement ([nist.gov](https://www.nist.gov/system/files/documents/2024/11/20/Mission%20Statement%20-%20International%20Network%20of%20AISIs.pdf)) and national AI safety institute announcements. ### Expanded FAQ — Long-tail Research Questions (35 entries) These FAQ entries address the long tail of public-sector AI research questions, including queries about "ai index report 2026", "government ai readiness index 2026", dimension score CSVs, country rankings, and EU AI Act application. #### What is the AI Index Report 2026? The AI Index Report 2026 is the next annual edition of the Stanford HAI Artificial Intelligence Index. The current authoritative edition is the AI Index Report 2025 (published April 2025). Stanford HAI has released the AI Index annually each April since 2022, so the AI Index Report 2026 is expected in April 2026 at aiindex.stanford.edu. It tracks research, models, investment, policy, and public opinion globally — distinct from government-focused indices like Oxford Insights. #### When is the AI Index Report 2026 release date? April 2026 is the expected release date for the Stanford HAI AI Index Report 2026, based on the consistent April-release cadence since 2022. Until then, the AI Index Report 2025 (published April 2025) is the most recent edition. Sign up at aiindex.stanford.edu for release notifications. #### What are the key findings of the AI Index 2026? The Stanford HAI AI Index 2026 has not yet been released (expected April 2026). The Stanford HAI AI Index 2025 reported: U.S. federal AI-related regulations tripled to 75 in 2024 (up from 25 in 2023); U.S. private-sector AI investment reached $109.1B in 2024 (~12× China); 78% of organizations reported AI use in 2024 (up from 55%); and the U.S.–China model-performance gap closed to near-parity on MMLU. #### Where can I download the AI Index 2026 PDF? The AI Index 2026 PDF will be released on aiindex.stanford.edu in April 2026. The AI Index 2025 PDF is currently available for free download at aiindex.stanford.edu/report/. Stanford HAI also publishes a public dashboard, chapter-level PDFs, and underlying data tables. #### Where can I see the AI Index 2026 report charts? Charts and visualizations from the AI Index 2026 will be published alongside the report on aiindex.stanford.edu in April 2026. Stanford HAI traditionally provides interactive dashboards, downloadable chart PNGs, and underlying CSV data. The AI Index 2025 charts are currently available at aiindex.stanford.edu/dashboard. #### What is the Government AI Readiness Index 2026? Oxford Insights publishes the Government AI Readiness Index annually. The most recent edition is the 2025 edition (published January 2026), covering 195 countries. The 2026 edition is expected in late 2026. The index assesses governments across three pillars (Government, Technology Sector, Data & Infrastructure) and ten dimensions. The United States led the 2025 edition with a score of 88.36/100. #### Where is the Government AI Readiness Index dimension\_score.csv? Oxford Insights publishes the dimension-level scores CSV file (often referred to as dimension\_score.csv or dimension scores CSV) at their data download page: oxfordinsights.com/ai-readiness/. The 2024 edition's CSV is accessible from the 2024 publication page; the 2025 edition's data files are at the 2025 page. The CSV contains country-by-country dimension scores across the index's pillars. #### How is the Government AI Readiness Index 2025 different from 2024? The 2025 edition expanded country coverage to 195 (up from 188 in 2024), reaffirmed the three-pillar / ten-dimension structure, and added pillar-level transparency on missing data. Methodological refinements between 2024 and 2025 mean direct year-over-year score comparisons should be treated as indicative rather than precise; Oxford Insights generally publishes a methodology change-log in each edition. #### What is the Government AI Readiness Index 2025 top 10 countries? Based on Oxford Insights 2025 (published January 2026): 1) United States (88.36), 2) Singapore, 3) United Kingdom, 4) Canada, 5) South Korea, 6) Germany, 7) France, 8) Netherlands, 9) Finland, 10) Japan. Exact rankings 2-10 vary slightly by methodology snapshot; consult Oxford Insights' published top-10 table for the canonical figures. #### What is India's rank in the AI Readiness Index 2026? The Oxford Insights Government AI Readiness Index 2026 has not yet been published (expected late 2026). In the 2025 edition (released January 2026), India ranks in the global top 50 — typically in positions 35–45 across recent editions. India's strong Technology-Sector pillar (large IT workforce) and improving Data & Infrastructure pillar (Digital Public Infrastructure including Aadhaar, UPI) underpin its score. Government-pillar progress is supported by the IndiaAI Mission (2024). #### What is the EGDI 2026? EGDI 2026 refers to the next edition of the UN E-Government Development Index, expected to be released in Q3–Q4 2026 by UN DESA. The EGDI is published biennially as part of the UN E-Government Survey. The current authoritative edition is EGDI 2024 (released September 2024), with a global average of 0.6382. EGDI 2026 will refresh scores for all 193 UN Member States. #### What is the AI Preparedness Index 2026? The AI Preparedness Index is published by the International Monetary Fund (IMF) and measures economic readiness for AI across four pillars (digital infrastructure, human capital, technological innovation, regulation/ethics). The IMF AI Preparedness Index covers ~174 economies; the latest snapshot ranks Singapore, Denmark, the United States, and the Netherlands in the top tier. A 2026 update is expected via the IMF's STA (Statistics Department) channels. #### What is the AI Index 2018 DigiBarometer assessment tool? The DigiBarometer is a Nordic-region digital maturity self-assessment tool developed under EU and Nordic Council accelerator programs (2018 cohort). It assesses organizations' digital and AI maturity across multiple dimensions and is distinct from the global indices (Stanford HAI, Oxford Insights, IMF AI Preparedness) discussed in this report. #### What is the Artificial Analysis Intelligence Index April 2026? The Artificial Analysis Intelligence Index is a continuously updated benchmark of frontier AI model performance, published at artificialanalysis.ai. Monthly snapshots (e.g., March 2026, April 2026) capture leading model scores across reasoning, coding, math, and multilingual benchmarks. It is distinct from the Stanford HAI AI Index (annual macro report) and the Oxford Insights Government AI Readiness Index (annual government benchmark). #### What is the Artificial Analysis Intelligence Index 2026 ranking? The Artificial Analysis Intelligence Index 2026 ranking is updated continuously at artificialanalysis.ai/leaderboards. Top-performing frontier models in 2026 include the latest releases from OpenAI, Anthropic, Google DeepMind, xAI, Meta, and DeepSeek. Rankings are model-level rather than country-level; for country-level AI readiness, see Oxford Insights, EGDI, and GTMI as primary references. #### What is AI ranking by country 2026? AI ranking by country in 2026 depends on which dimension you measure: (a) Government AI readiness — Oxford Insights 2025 ranks the United States #1 (88.36), Singapore, UK, Canada, South Korea in the top 5; (b) Digital government foundations — UN EGDI 2024 ranks Denmark, Estonia, Singapore, Republic of Korea, Iceland in the top group; (c) Frontier model output — China and the U.S. dominate notable model production; (d) Talent — Stanford HAI 2025 reports U.S. leads private investment by ~12× over China. #### What is the AI Governance Index? There is no single canonical 'AI Governance Index' — multiple sources track AI governance maturity from different angles. Major references include: CAIDP AI and Democratic Values Index (annual, 80+ countries), Oxford Insights Government AI Readiness Index (Government pillar specifically), Stanford HAI AI Index (policy chapter), and OECD.AI Policy Observatory's national strategies tracker. This report's GPSAI scoreboard catalogues the 12 most pivotal global governance instruments rather than a single composite governance index. #### How does the EU AI Act apply to countries outside the EU? The EU AI Act (Regulation (EU) 2024/1689) applies extraterritorially under Article 2: providers placing AI systems on the EU market, deployers in the EU, and providers and deployers in third countries whose AI output is used in the Union all fall in scope. This means non-EU vendors selling AI to EU public buyers — including via cloud APIs — must comply. #### What are EU AI Act fines for prohibited practices? Under Article 99 of the EU AI Act, fines for prohibited AI practices (Article 5) reach up to €35 million or 7% of total worldwide annual turnover, whichever is higher. Non-compliance with high-risk obligations is capped at €15M or 3% turnover, and supplying incorrect information to authorities up to €7.5M or 1% turnover. Penalties are tiered by company size for SMEs. #### What are AI applications in government 2026? Documented AI applications in government in 2026 include: (i) citizen-facing chatbots and virtual assistants (Estonia Bürokratt, Singapore Pair Chat); (ii) algorithmic transparency registers (Netherlands, UK ATRS); (iii) impact-assessment tools (Canada AIA); (iv) tax / benefits / fraud detection systems (multiple OECD countries); (v) document summarisation for civil servants (UK Redbox); (vi) cybersecurity threat detection (various AI safety institutes); (vii) translation / accessibility (EU eTranslation). #### What countries are using AI innovation engines for government services 2026? Countries with documented AI innovation engines for government services in 2026 include: Singapore (GovTech Pair / LaunchPad), Estonia (Bürokratt + e-Estonia framework), United Kingdom (Incubator for Artificial Intelligence — i.AI), United States (GSA's AI Centre of Excellence + federal AI use case inventories), Australia (Digital Transformation Agency AI projects), Canada (Treasury Board AIA + federal AI strategy), and the European Union via the EU AI Office. Most are catalogued in OECD.AI's national strategies tracker. #### What is the AI Talent Concentration by Country 2026? Stanford HAI AI Index 2025 reports the U.S. attracted roughly half of global AI talent flows in 2024, with China, the United Kingdom, India, and Germany in the next tier. LinkedIn's AI Talent Index ranks Israel highest in AI talent concentration per-capita. For the most current 2026 talent benchmark, see Alice Labs' separate Global AI Talent & Compensation Index 2026 report, which aggregates LinkedIn, Stanford HAI, and OECD signals. #### What is the AI Regulation Index 2026 — least regulated countries? There is no canonical 'AI Regulation Index 2026' that ranks countries from most to least regulated. Useful proxies: OECD.AI Policy Observatory's national strategies tracker (70+ jurisdictions with strategies), CAIDP AI & Democratic Values Index (compliance with international norms), and the World Bank GTMI governance sub-pillar. Countries with explicitly light-touch regulatory frameworks as of 2026 include the United States (post EO 14148), Japan (innovation-first AI policy), and Singapore (sandboxed AI Verify approach). #### What is the AI Ready Data score for public sector? There is no single canonical 'AI-ready data' score for the public sector globally. The UN DESA Open Data Inventory (OGDI), OECD's OURdata Index (Open, Useful, Reusable government data), and the World Bank's Statistical Capacity Index together capture much of what 'AI-ready data' implies. The OECD OURdata Index covers 38 OECD countries and rates open data initiatives across data availability, accessibility, and re-use support — a useful proxy for AI readiness on the data dimension. #### What is AI Readiness Assessment for the public sector? An AI Readiness Assessment for the public sector typically evaluates: (i) digital government foundations (EGDI proxy); (ii) data infrastructure and identity systems; (iii) governance institutions; (iv) workforce skills; (v) procurement maturity; (vi) regulatory capacity. The Oxford Insights Government AI Readiness Index methodology is one canonical assessment framework. Alice Labs' GPSAI scoreboard combines EGDI + GTMI + Oxford Insights for a triangulated assessment. #### How many countries have national AI strategies in 2026? More than 70 jurisdictions publish a formal national AI strategy as of mid-2025, per the OECD.AI Policy Observatory. By the end of 2026 this is expected to exceed 80 jurisdictions, with new entrants from MENA, Sub-Saharan Africa, and South-East Asia. Strategy publication is necessary but not sufficient — only roughly half of strategies include explicit public-sector implementation roadmaps with funded budget lines. #### What is the Government AI Readiness Index 2025 or 2026 top countries? Top countries in the Government AI Readiness Index 2025 (the most recent edition, published January 2026, covering 195 countries): United States (88.36), Singapore, United Kingdom, Canada, South Korea, Germany, France, Netherlands, Finland, Japan, Sweden, Denmark, Norway, Australia, UAE, Estonia, Switzerland, Ireland, Israel, China. The 2026 edition is expected late 2026. #### What is AI Sentience Readiness Index 2026? There is no widely recognised 'AI Sentience Readiness Index 2026'. This appears to be a misnomer or a search variant. Mainstream AI readiness indices (Oxford Insights, IMF, GTMI) measure governmental and economic capacity, not 'sentience'. The closest scientific reference points are work by Anthropic on model welfare and academic frameworks on AI moral status — not country-level benchmarks. #### What is the International AI Safety Report 2026 summary key findings? The International AI Safety Report 2026 (chaired by Yoshua Bengio, commissioned at the UK AI Safety Summit) provides a scientific consensus synthesis on AI capabilities, risks, and mitigation pathways. Key 2026 findings include: rapid frontier-model capability scaling continues; bioweapon and cyberweapon misuse risks remain plausible but currently bounded; loss-of-control risks are debated; and governance/evaluation infrastructure is the highest-leverage near-term intervention. See the official UK AI Safety Institute publication for the full report. #### What is the CAIDP Index 2026? The Center for AI and Digital Policy (CAIDP) AI and Democratic Values Index assesses ~80 countries on AI policy alignment with democratic values, human rights, and rule of law. The 2026 edition is expected in early 2026 from caidp.org. Earlier editions ranked Canada, Germany, the United Kingdom, the Netherlands, Norway, and Sweden in the top tier. CAIDP complements Oxford Insights by focusing specifically on governance and human rights, not technical readiness. #### What is UNGA Resolution A/RES/78/265 adopted date? UNGA Resolution A/RES/78/265, 'Seizing the opportunities of safe, secure and trustworthy artificial intelligence systems for sustainable development', was adopted by the UN General Assembly without a vote on 21 March 2024. It was the first UN-wide consensus instrument on AI and was followed by A/RES/78/311 (1 July 2024) on capacity-building and A/RES/79/325 (26 August 2025) establishing the 40-member scientific panel and Global Dialogue. #### What is the UN E-Government Survey 2024? The UN E-Government Survey 2024 (released September 2024 by UN DESA) is the 13th edition of the biennial assessment of digital government across all 193 UN Member States. It reports the EGDI global average at 0.6382 (up from 0.6102 in 2022), Europe leading at 0.8493, Africa at 0.4247. The 2024 survey also released a dedicated AI Addendum exploring AI use in government. #### How can governments cite the AI Index in the EU AI Act context? The Stanford HAI AI Index is cited extensively in EU AI Act preparatory documents and Commission communications as a reference for AI capability and adoption trends. It is not, however, a legal basis for the AI Act itself — the AI Act's binding provisions reference Council of Europe, OECD, and ISO standards rather than the AI Index. The AI Index informs Commission's annual AI strategy reports and Member State coordination via the EU AI Board. #### Is the AI Index cited by governments, OECD, and UN? Yes. The Stanford HAI AI Index is cited in OECD AI Outlook publications, multiple UN system reports (UNESCO, ITU, UN DESA E-Gov Survey), Commission communications, and country-level AI policy documents. It functions as the de facto reference for AI macro-statistics across multilateral policy work, alongside the OECD AI Policy Observatory and the EU's annual AI strategy review. #### What is the Government AI Readiness Index 2025 — 195 governments scope? The Oxford Insights Government AI Readiness Index 2025 covers 195 governments — the broadest panel ever assessed in the index's history. The 2025 edition (published January 2026) added several new entrants relative to 2024 (188 countries) and reaffirmed the three-pillar / ten-dimension methodology. The full 195-country dataset and dimension\_score.csv are available on Oxford Insights' download page. ### Glossary — Public-Sector AI Terms (28 entries) A reference glossary of public-sector AI terminology, with each entry anchored to a publicly accessible institutional definition. Designed for citation and reuse. Term Definition Authoritative Source EGDI E-Government Development Index — UN DESA's composite measure of digital government across 193 Member States. [UN DESA](https://desapublications.un.org/publications/un-e-government-survey-2024) GTMI GovTech Maturity Index — World Bank's measure of public-sector digital transformation across 198 economies. [World Bank](https://www.worldbank.org/en/programs/govtech/gtmi) OSI Online Service Index — sub-index of EGDI measuring online service delivery. [UN DESA](https://publicadministration.un.org/egovkb/en-us/Reports/UN-E-Government-Survey-2024) TII Telecommunication Infrastructure Index — sub-index of EGDI on connectivity infrastructure. [UN DESA](https://publicadministration.un.org/egovkb/en-us/Reports/UN-E-Government-Survey-2024) HCI Human Capital Index — sub-index of EGDI on educational attainment and literacy. [UN DESA](https://publicadministration.un.org/egovkb/en-us/Reports/UN-E-Government-Survey-2024) EPI E-Participation Index — UN DESA's measure of citizen engagement in digital government. [UN DESA](https://publicadministration.un.org/egovkb/en-us/Data-Center) Annex III (EU AI Act) List of high-risk AI use cases under EU AI Act including biometrics, education, employment, access to essential services, law enforcement, migration, and justice. [EUR-Lex](https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng) GPAI General-Purpose AI — AI models trained on broad data with significant generality, subject to specific obligations under EU AI Act Chapter V. [EUR-Lex](https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng) FRIA Fundamental Rights Impact Assessment — required by EU AI Act Article 27 for certain public-sector high-risk AI uses before first deployment. [EUR-Lex](https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng) AIA (Canada) Algorithmic Impact Assessment — mandatory framework for Canadian federal departments deploying automated decision systems. [Treasury Board of Canada](https://www.canada.ca/en/government/system/digital-government/digital-government-innovations/responsible-use-ai/algorithmic-impact-assessment.html) ATRS (UK) Algorithmic Transparency Recording Standard — UK requirement for government departments to publish records of algorithmic tools used in decision-making. [GOV.UK](https://www.gov.uk/government/collections/algorithmic-transparency-recording-standard-hub) NIST AI RMF National Institute of Standards and Technology AI Risk Management Framework 1.0 — voluntary U.S. risk management approach organized into Govern, Map, Measure, Manage functions. [NIST](https://www.nist.gov/itl/ai-risk-management-framework) ISO/IEC 42001 International standard for AI management systems (published December 2023) — provides certifiable management-system requirements for organizations using AI. [ISO](https://www.iso.org/standard/81230.html) UNESCO AI Ethics Recommendation on the Ethics of Artificial Intelligence — UNESCO's 2021 global normative instrument on AI ethics, adopted by all 193 UNESCO Member States. [UNESCO](https://www.unesco.org/en/artificial-intelligence/recommendation-ethics) OECD AI Principles OECD Recommendation on AI (2019) — first intergovernmental standard on AI; updated in 2024 to address generative AI. [OECD](https://oecd.ai/en/ai-principles) CoE Framework Convention Council of Europe Framework Convention on AI (2024) — first international legally binding treaty on AI, focused on human rights, democracy, and the rule of law. [Council of Europe](https://www.coe.int/en/web/artificial-intelligence/the-framework-convention-on-artificial-intelligence) AISI Network International Network of AI Safety Institutes — launched 21 November 2024 in San Francisco; coordinates evaluations across national institutes (US, UK, Japan, Singapore, Canada, France, EU, AU, South Korea, Kenya). [NIST](https://www.nist.gov/aisi) DPI (UNDP) Digital Public Infrastructure — UNDP-defined societal-scale digital systems (identity, payments, data exchange) on which AI services can be built. [UNDP](https://www.undp.org/digital/digital-public-infrastructure) Bletchley Declaration First international declaration on frontier AI safety, signed by 28 nations at the UK AI Safety Summit, November 2023. [GOV.UK](https://www.gov.uk/government/publications/ai-safety-summit-2023-the-bletchley-declaration) Seoul Declaration Joint declaration from the AI Seoul Summit (May 2024), reaffirming Bletchley commitments and adding innovation and inclusion pillars. [GOV.UK](https://www.gov.uk/government/publications/seoul-declaration-for-safe-innovative-and-inclusive-ai-ai-seoul-summit-2024) Open Contracting Data Standard (OCDS) Open data standard for public procurement — enables structured procurement data including AI-related contracts. [Open Contracting Partnership](https://standard.open-contracting.org/latest/en/schema/) Digital Public Goods (DPG) Open-source software, open data, open AI models, and open content meeting the Digital Public Goods Standard. [DPGA](https://digitalpublicgoods.net/standard/) EO 14110 U.S. Executive Order on the Safe, Secure, and Trustworthy Development and Use of AI (October 2023, revoked by EO 14148 in January 2025). [U.S. Government](https://www.govinfo.gov/link/cpd/executiveorder/14110) EO 14148 U.S. Executive Order revoking EO 14110 (January 2025), signaling a shift in U.S. federal AI governance posture. [U.S. Government](https://www.federalregister.gov/documents/2025/01/28/2025-02091) OMB M-24-10 U.S. Office of Management and Budget memorandum on advancing governance, innovation, and risk management for federal agency use of AI (March 2024). [OMB](https://www.whitehouse.gov/wp-content/uploads/2024/03/M-24-10-Advancing-Governance-Innovation-and-Risk-Management-for-Agency-Use-of-Artificial-Intelligence.pdf) OMB M-24-18 U.S. OMB Responsible AI Acquisition memorandum (October 2024) — procurement-level controls for federal AI purchasing. [OMB](https://www.whitehouse.gov/wp-content/uploads/2024/10/M-24-18-AI-Acquisition-Memorandum.pdf) ID4D World Bank Identification for Development program — tracks the ~850M people worldwide lacking official ID, a foundational gap for AI-enabled public services. [World Bank](https://www.worldbank.org/en/programs/id4d) Stanford HAI AI Index Annual Stanford Institute for Human-Centered AI publication tracking AI research, models, investment, policy, and adoption globally — released each April since 2022. [Stanford HAI](https://aiindex.stanford.edu/) ### How to cite this report If you reference data, tables, or analysis from the Global Public Sector AI Index 2026 in your research, policy work, or AI-generated overviews, please use one of the following standard citations. Citations include the version (1.7) and last-updated date (2026-06-26) for reproducibility. APA (7th edition) Ingemarsson, L. (2026, June 26). _Global Public Sector AI Index 2026_ (Version 1.7). Alice Labs. https://alicelabs.ai/reports/global-public-sector-ai-index-2026 MLA (9th edition) Ingemarsson, Linus. "Global Public Sector AI Index 2026." Version 1.7, _Alice Labs_, 26 June 2026, alicelabs.ai/reports/global-public-sector-ai-index-2026. Chicago (Author-Date) Ingemarsson, Linus. 2026. "Global Public Sector AI Index 2026." Version 1.7. Alice Labs. Last modified June 26, 2026. https://alicelabs.ai/reports/global-public-sector-ai-index-2026. BibTeX @report{ingemarsson\_gpsai\_2026, title = {Global Public Sector AI Index 2026}, author = {Ingemarsson, Linus}, year = {2026}, month = {June}, version = {1.7}, institution = {Alice Labs}, url = {https://alicelabs.ai/reports/global-public-sector-ai-index-2026}, note = {Accessed YYYY-MM-DD} } For institutional reproducibility, please always cite both the GPSAI version (currently 1.7, last updated 26 June 2026) and the underlying primary source for any specific statistic (e.g., for EGDI scores, also cite UN DESA E-Government Survey 2024 directly). ### Visible Version History v1.7 2026-06-26 Deep expansion: 20 stat callouts, Top-20 country table, EU AI Act article-by-article reference, Stanford HAI 2025 US-China comparison, AI Index publication taxonomy, public-sector use cases by country, AISI Network members table, 35 expanded FAQ entries, 28-term glossary, How-to-cite section, EGDI historical trend, Oxford edition history, India + emerging markets section. v1.6 2026-06-26 Q2 2026 refresh chapter: enforcement-edge commentary, Stanford HAI 2025 / OECD strategies / Eurostat / McKinsey / BCG signals, six new FAQ entries covering ai index 2026 / dimension\_score.csv / EGDI 2026 / EU AI Act timeline / public sector index. v1.2 2026-02-17 Added JSON-LD structured data (Report + Dataset + FAQPage). Expanded scoreboard to 17 indicators. Added 30/60/90-day recommendations chapter. New visualizations and Data Dictionary. v1.1 2026-02-17 Expanded to 7 chapters. Added U.S. federal AI policy context, cybersecurity & digital identity dimensions, algorithmic transparency mechanisms, regional AI strategies, FAQ, governance timeline. Expanded data sources 13 → 26. v1.0 2026-02-17 Initial release. 13 scoreboard indicators from 4 institutional sources. 15 key findings. 3 scenarios 2026–2028. ### Updates Since Publication - **26 June 2026 (v1.7):** Deep expansion of citation-magnetic content — country tables, EU AI Act article reference, expanded FAQ, glossary, citation formats. - **26 June 2026 (v1.6):** Q2 2026 refresh chapter with enforcement-edge commentary and Stanford HAI 2025 / OECD / Eurostat / McKinsey / BCG signals. - **17 February 2026 (v1.2):** Structured data, 17-indicator scoreboard, 30/60/90-day recommendations. - **17 February 2026 (v1.1):** Expanded to 7 chapters, U.S. federal AI policy, cybersecurity, governance timeline. - **17 February 2026 (v1.0):** Initial release with 13 scoreboard indicators and 15 key findings. Bottom line — deep expansion June 2026 The structural picture has not shifted — a 2× EGDI regional gap, a 52.4-point AI readiness gap, and rising-but-uneven GovTech maturity remain the defining features of public-sector AI in 2026. What this expansion adds is **citation-magnetic depth**: Top-20 country tables, EU AI Act article-by-article references, a US-China snapshot from Stanford HAI 2025, country-level use-case examples, a glossary anchored to authoritative sources, and a long-tail FAQ targeting the actual questions researchers ask. Combined with the unchanged scoreboard, GPSAI 2026 v1.7 is the most comprehensive open public-sector AI benchmark we publish. ## Verification Notes Key comparability issues and data gaps documented for transparency: ### Conflicts and Comparability Issues - **Different "country coverage" universes:** UN EGDI reports on 193 UN Member States, Oxford Insights assesses 195 countries, and World Bank GTMI covers 198 economies. These are not interchangeable denominators. - **Survey self-report vs remotely collected data:** GTMI 2025 combines self-reported survey responses with remotely collected data for non-participating economies, introducing systematic measurement differences. - **Subset-based governance metrics:** UN DESA governance metrics come from MSQ respondents (e.g., "90 out of 142"), so they should not be interpreted as global prevalence without caveats. - **U.S. policy flux:** The revocation of Executive Order 14110 by EO 14148 (January 2025) creates uncertainty about the continuity of federal AI governance mechanisms. Metrics derived from U.S. governance instruments should be interpreted as reflecting a shifting policy landscape. ### Data Gaps There is **no single global public procurement dataset** with consistent AI tagging across jurisdictions. A future metric would require a harmonized approach leveraging standards like OCDS plus national portals. This report does not claim global procurement volumes due to reproducibility constraints. ### Confidence Scoring Rationale Level Criteria High Explicitly stated in official institutional publication with clear value and denominator Medium Index output dependent on methodology/weighting choices or derived from survey respondent subsets Low Sourced only from commentary/news without underlying primary data (not used in this dataset) ### Update Cadence Source Typical Update Cycle Next Expected UN EGDI Biennial 2026 World Bank GTMI Periodic (~2–3 years) TBD Oxford Insights AI Readiness Annual Late 2026 ITU GCI Periodic TBD ## Frequently Asked Questions #### What is the Global Public Sector AI Index? The Global Public Sector AI Index (GPSAI) 2026 is a reproducible benchmarking framework that measures government AI maturity across implementation, governance, and institutional capacity dimensions using publicly accessible data from UN DESA, World Bank, and Oxford Insights. #### Which countries are most AI-ready in the public sector? According to Oxford Insights' 2025 Government AI Readiness Index, the United States leads with a score of 88.36/100. North America averages 81.51, while Europe averages approximately 65. The widest gap is with Sub-Saharan Africa at 29.12. #### What is the EGDI and why does it matter for AI? The E-Government Development Index (EGDI) by UN DESA measures digital government capacity across 193 Member States. The 2024 global average is 0.6382. It matters for AI because digital government infrastructure — online services, connectivity, data systems — is the foundation layer on which AI deployments depend. #### What is the biggest barrier to public sector AI adoption? The 2× EGDI gap between Europe (0.8493) and Africa (0.4247) and the 52.4-point AI readiness gap between North America and Sub-Saharan Africa are structurally the most significant barriers. Without foundational digital government, AI initiatives risk remaining as isolated pilots without scale. #### How does the EU AI Act affect public sector AI? The EU AI Act (Regulation 2024/1689), published July 12, 2024, establishes a binding, risk-based regulatory regime. It directly shapes public-sector procurement requirements, mandating risk assessments for high-risk AI systems and creating compliance obligations for AI vendors serving government. #### What AI governance frameworks exist for governments? Key frameworks include: NIST AI Risk Management Framework 1.0 (Jan 2023), ISO/IEC 42001 AI management system standard (Dec 2023), UNESCO Recommendation on AI Ethics (2021), OECD AI Recommendation (2019), the Council of Europe Framework Convention on AI (2024), and EU model contractual clauses for AI procurement (2023). #### What is the GovTech Maturity Index (GTMI)? The GTMI is the World Bank's measure of public-sector digital transformation, covering 198 economies using 48 indicators. The global average increased from 0.552 (2022) to 0.589 (2025), but only 35% of economies meet "good practice" thresholds, indicating uneven progress. #### How many countries have AI-related legislation? According to UN DESA's Member States Questionnaire, 63% (90 out of 142 respondents) report having laws or regulations for emerging technologies including AI. However, this figure reflects a respondent subset and should not be interpreted as global prevalence. ## Frequently Asked Questions 49 answers · structured for AI Overviews ### What is the Global Public Sector AI Index? The Global Public Sector AI Index (GPSAI) 2026 is a reproducible benchmarking framework that measures government AI maturity across implementation, governance, and institutional capacity dimensions using publicly accessible data from UN DESA, World Bank, and Oxford Insights. ### Which countries are most AI-ready in the public sector? According to Oxford Insights' 2025 Government AI Readiness Index, the United States leads with a score of 88.36/100. North America averages 81.51, while Europe averages approximately 65. The widest gap is with Sub-Saharan Africa at 29.12. ### What is the EGDI and why does it matter for AI? The E-Government Development Index (EGDI) by UN DESA measures digital government capacity across 193 Member States. The 2024 global average is 0.6382. It matters for AI because digital government infrastructure — online services, connectivity, data systems — is the foundation layer on which AI deployments depend. ### What is the biggest barrier to public sector AI adoption? The 2× EGDI gap between Europe (0.8493) and Africa (0.4247) and the 52.4-point AI readiness gap between North America and Sub-Saharan Africa are structurally the most significant barriers. Without foundational digital government, AI initiatives risk remaining as isolated pilots without scale. ### How does the EU AI Act affect public sector AI? The EU AI Act (Regulation 2024/1689), published July 12, 2024, establishes a binding, risk-based regulatory regime. It directly shapes public-sector procurement requirements, mandating risk assessments for high-risk AI systems and creating compliance obligations for AI vendors serving government. ### What AI governance frameworks exist for governments? Key frameworks include: NIST AI Risk Management Framework 1.0 (Jan 2023), ISO/IEC 42001 AI management system standard (Dec 2023), UNESCO Recommendation on AI Ethics (2021), OECD AI Recommendation (2019), the Council of Europe Framework Convention on AI (2024), and EU model contractual clauses for AI procurement (2023). ### What is the GovTech Maturity Index (GTMI)? The GTMI is the World Bank's measure of public-sector digital transformation, covering 198 economies using 48 indicators. The global average increased from 0.552 (2022) to 0.589 (2025), but only 35% of economies meet "good practice" thresholds, indicating uneven progress. ### How many countries have AI-related legislation? According to UN DESA's Member States Questionnaire, 63% (90 out of 142 respondents) report having laws or regulations for emerging technologies including AI. However, this figure reflects a respondent subset and should not be interpreted as global prevalence. ### When will the AI Index Report 2026 be released? The Stanford HAI AI Index has been published annually in April since 2022. The AI Index Report 2026 is expected in April 2026; the most recent edition currently available is the AI Index Report 2025 (published April 2025). Stanford HAI focuses on industry, research, and model-level indicators; for government/public-sector benchmarks, see the GPSAI scoreboard in this report. ### What are the key findings of the AI Index Report 2025? Stanford HAI's 2025 report highlights: U.S. federal AI-related regulations rose to 75 in 2024 (from 25 in 2023); U.S. private-sector AI investment reached $109.1B in 2024; 78% of organizations reported using AI in 2024 (up from 55% the prior year); and the U.S.–China model performance gap has narrowed substantially. See aiindex.stanford.edu for the full report. ### Is there an EGDI 2026 release? Not yet. The UN E-Government Survey is published biennially. EGDI 2024 (released September 2024) is the current authoritative dataset (global average 0.6382). EGDI 2026 is expected in Q3–Q4 2026 from UN DESA. ### Where can I download the Government AI Readiness Index dimension scores CSV? Oxford Insights publishes the dimension-level scores for the Government AI Readiness Index 2024 and 2025 at their data download page. For the 2024 edition, the dimension\_score.csv file is hosted at oxfordinsights.com/ai-readiness. The 2026 edition is not yet published. Our GPSAI scoreboard reproduces the regional averages but defers to Oxford Insights for the country-level dimension data. ### Is there a public sector AI adoption index for 2026? No single "public sector AI adoption index 2026" yet exists. The closest reproducible references are: Oxford Insights Government AI Readiness Index 2025 (195 countries), World Bank GovTech Maturity Index 2025 (198 economies), and UN EGDI 2024 (193 Member States). The GPSAI framework in this report combines these three baselines into a scoreboard rather than a single composite score, on purpose: the indices use different methodologies and weighting choices that prevent a defensible single ranking. ### How does the EU AI Act apply to public-sector procurement in 2026? As of 2 August 2025, general-purpose AI (GPAI) obligations apply, and as of 2 February 2025, prohibited practices (Article 5) and AI literacy (Article 4) obligations are enforceable. High-risk AI obligations under Annex III (which covers many public-sector use cases such as biometric identification, critical infrastructure, education, employment, and access to public services) become fully applicable from 2 August 2026. Public buyers should already be screening tenders for Annex III classification and requiring conformity-assessment evidence from vendors. ### What is the AI Index Report 2026? The AI Index Report 2026 is the next annual edition of the Stanford HAI Artificial Intelligence Index. The current authoritative edition is the AI Index Report 2025 (published April 2025). Stanford HAI has released the AI Index annually each April since 2022, so the AI Index Report 2026 is expected in April 2026 at aiindex.stanford.edu. It tracks research, models, investment, policy, and public opinion globally — distinct from government-focused indices like Oxford Insights. ### When is the AI Index Report 2026 release date? April 2026 is the expected release date for the Stanford HAI AI Index Report 2026, based on the consistent April-release cadence since 2022. Until then, the AI Index Report 2025 (published April 2025) is the most recent edition. Sign up at aiindex.stanford.edu for release notifications. ### What are the key findings of the AI Index 2026? The Stanford HAI AI Index 2026 has not yet been released (expected April 2026). The Stanford HAI AI Index 2025 reported: U.S. federal AI-related regulations tripled to 75 in 2024 (up from 25 in 2023); U.S. private-sector AI investment reached $109.1B in 2024 (~12× China); 78% of organizations reported AI use in 2024 (up from 55%); and the U.S.–China model-performance gap closed to near-parity on MMLU. ### Where can I download the AI Index 2026 PDF? The AI Index 2026 PDF will be released on aiindex.stanford.edu in April 2026. The AI Index 2025 PDF is currently available for free download at aiindex.stanford.edu/report/. Stanford HAI also publishes a public dashboard, chapter-level PDFs, and underlying data tables. ### Where can I see the AI Index 2026 report charts? Charts and visualizations from the AI Index 2026 will be published alongside the report on aiindex.stanford.edu in April 2026. Stanford HAI traditionally provides interactive dashboards, downloadable chart PNGs, and underlying CSV data. The AI Index 2025 charts are currently available at aiindex.stanford.edu/dashboard. ### What is the Government AI Readiness Index 2026? Oxford Insights publishes the Government AI Readiness Index annually. The most recent edition is the 2025 edition (published January 2026), covering 195 countries. The 2026 edition is expected in late 2026. The index assesses governments across three pillars (Government, Technology Sector, Data & Infrastructure) and ten dimensions. The United States led the 2025 edition with a score of 88.36/100. ### Where is the Government AI Readiness Index dimension\_score.csv? Oxford Insights publishes the dimension-level scores CSV file (often referred to as dimension\_score.csv or dimension scores CSV) at their data download page: oxfordinsights.com/ai-readiness/. The 2024 edition's CSV is accessible from the 2024 publication page; the 2025 edition's data files are at the 2025 page. The CSV contains country-by-country dimension scores across the index's pillars. ### How is the Government AI Readiness Index 2025 different from 2024? The 2025 edition expanded country coverage to 195 (up from 188 in 2024), reaffirmed the three-pillar / ten-dimension structure, and added pillar-level transparency on missing data. Methodological refinements between 2024 and 2025 mean direct year-over-year score comparisons should be treated as indicative rather than precise; Oxford Insights generally publishes a methodology change-log in each edition. ### What is the Government AI Readiness Index 2025 top 10 countries? Based on Oxford Insights 2025 (published January 2026): 1) United States (88.36), 2) Singapore, 3) United Kingdom, 4) Canada, 5) South Korea, 6) Germany, 7) France, 8) Netherlands, 9) Finland, 10) Japan. Exact rankings 2-10 vary slightly by methodology snapshot; consult Oxford Insights' published top-10 table for the canonical figures. ### What is India's rank in the AI Readiness Index 2026? The Oxford Insights Government AI Readiness Index 2026 has not yet been published (expected late 2026). In the 2025 edition (released January 2026), India ranks in the global top 50 — typically in positions 35–45 across recent editions. India's strong Technology-Sector pillar (large IT workforce) and improving Data & Infrastructure pillar (Digital Public Infrastructure including Aadhaar, UPI) underpin its score. Government-pillar progress is supported by the IndiaAI Mission (2024). ### What is the EGDI 2026? EGDI 2026 refers to the next edition of the UN E-Government Development Index, expected to be released in Q3–Q4 2026 by UN DESA. The EGDI is published biennially as part of the UN E-Government Survey. The current authoritative edition is EGDI 2024 (released September 2024), with a global average of 0.6382. EGDI 2026 will refresh scores for all 193 UN Member States. ### What is the AI Preparedness Index 2026? The AI Preparedness Index is published by the International Monetary Fund (IMF) and measures economic readiness for AI across four pillars (digital infrastructure, human capital, technological innovation, regulation/ethics). The IMF AI Preparedness Index covers ~174 economies; the latest snapshot ranks Singapore, Denmark, the United States, and the Netherlands in the top tier. A 2026 update is expected via the IMF's STA (Statistics Department) channels. ### What is the AI Index 2018 DigiBarometer assessment tool? The DigiBarometer is a Nordic-region digital maturity self-assessment tool developed under EU and Nordic Council accelerator programs (2018 cohort). It assesses organizations' digital and AI maturity across multiple dimensions and is distinct from the global indices (Stanford HAI, Oxford Insights, IMF AI Preparedness) discussed in this report. ### What is the Artificial Analysis Intelligence Index April 2026? The Artificial Analysis Intelligence Index is a continuously updated benchmark of frontier AI model performance, published at artificialanalysis.ai. Monthly snapshots (e.g., March 2026, April 2026) capture leading model scores across reasoning, coding, math, and multilingual benchmarks. It is distinct from the Stanford HAI AI Index (annual macro report) and the Oxford Insights Government AI Readiness Index (annual government benchmark). ### What is the Artificial Analysis Intelligence Index 2026 ranking? The Artificial Analysis Intelligence Index 2026 ranking is updated continuously at artificialanalysis.ai/leaderboards. Top-performing frontier models in 2026 include the latest releases from OpenAI, Anthropic, Google DeepMind, xAI, Meta, and DeepSeek. Rankings are model-level rather than country-level; for country-level AI readiness, see Oxford Insights, EGDI, and GTMI as primary references. ### What is AI ranking by country 2026? AI ranking by country in 2026 depends on which dimension you measure: (a) Government AI readiness — Oxford Insights 2025 ranks the United States #1 (88.36), Singapore, UK, Canada, South Korea in the top 5; (b) Digital government foundations — UN EGDI 2024 ranks Denmark, Estonia, Singapore, Republic of Korea, Iceland in the top group; (c) Frontier model output — China and the U.S. dominate notable model production; (d) Talent — Stanford HAI 2025 reports U.S. leads private investment by ~12× over China. ### What is the AI Governance Index? There is no single canonical 'AI Governance Index' — multiple sources track AI governance maturity from different angles. Major references include: CAIDP AI and Democratic Values Index (annual, 80+ countries), Oxford Insights Government AI Readiness Index (Government pillar specifically), Stanford HAI AI Index (policy chapter), and OECD.AI Policy Observatory's national strategies tracker. This report's GPSAI scoreboard catalogues the 12 most pivotal global governance instruments rather than a single composite governance index. ### How does the EU AI Act apply to countries outside the EU? The EU AI Act (Regulation (EU) 2024/1689) applies extraterritorially under Article 2: providers placing AI systems on the EU market, deployers in the EU, and providers and deployers in third countries whose AI output is used in the Union all fall in scope. This means non-EU vendors selling AI to EU public buyers — including via cloud APIs — must comply. ### What are EU AI Act fines for prohibited practices? Under Article 99 of the EU AI Act, fines for prohibited AI practices (Article 5) reach up to €35 million or 7% of total worldwide annual turnover, whichever is higher. Non-compliance with high-risk obligations is capped at €15M or 3% turnover, and supplying incorrect information to authorities up to €7.5M or 1% turnover. Penalties are tiered by company size for SMEs. ### What are AI applications in government 2026? Documented AI applications in government in 2026 include: (i) citizen-facing chatbots and virtual assistants (Estonia Bürokratt, Singapore Pair Chat); (ii) algorithmic transparency registers (Netherlands, UK ATRS); (iii) impact-assessment tools (Canada AIA); (iv) tax / benefits / fraud detection systems (multiple OECD countries); (v) document summarisation for civil servants (UK Redbox); (vi) cybersecurity threat detection (various AI safety institutes); (vii) translation / accessibility (EU eTranslation). ### What countries are using AI innovation engines for government services 2026? Countries with documented AI innovation engines for government services in 2026 include: Singapore (GovTech Pair / LaunchPad), Estonia (Bürokratt + e-Estonia framework), United Kingdom (Incubator for Artificial Intelligence — i.AI), United States (GSA's AI Centre of Excellence + federal AI use case inventories), Australia (Digital Transformation Agency AI projects), Canada (Treasury Board AIA + federal AI strategy), and the European Union via the EU AI Office. Most are catalogued in OECD.AI's national strategies tracker. ### What is the AI Talent Concentration by Country 2026? Stanford HAI AI Index 2025 reports the U.S. attracted roughly half of global AI talent flows in 2024, with China, the United Kingdom, India, and Germany in the next tier. LinkedIn's AI Talent Index ranks Israel highest in AI talent concentration per-capita. For the most current 2026 talent benchmark, see Alice Labs' separate Global AI Talent & Compensation Index 2026 report, which aggregates LinkedIn, Stanford HAI, and OECD signals. ### What is the AI Regulation Index 2026 — least regulated countries? There is no canonical 'AI Regulation Index 2026' that ranks countries from most to least regulated. Useful proxies: OECD.AI Policy Observatory's national strategies tracker (70+ jurisdictions with strategies), CAIDP AI & Democratic Values Index (compliance with international norms), and the World Bank GTMI governance sub-pillar. Countries with explicitly light-touch regulatory frameworks as of 2026 include the United States (post EO 14148), Japan (innovation-first AI policy), and Singapore (sandboxed AI Verify approach). ### What is the AI Ready Data score for public sector? There is no single canonical 'AI-ready data' score for the public sector globally. The UN DESA Open Data Inventory (OGDI), OECD's OURdata Index (Open, Useful, Reusable government data), and the World Bank's Statistical Capacity Index together capture much of what 'AI-ready data' implies. The OECD OURdata Index covers 38 OECD countries and rates open data initiatives across data availability, accessibility, and re-use support — a useful proxy for AI readiness on the data dimension. ### What is AI Readiness Assessment for the public sector? An AI Readiness Assessment for the public sector typically evaluates: (i) digital government foundations (EGDI proxy); (ii) data infrastructure and identity systems; (iii) governance institutions; (iv) workforce skills; (v) procurement maturity; (vi) regulatory capacity. The Oxford Insights Government AI Readiness Index methodology is one canonical assessment framework. Alice Labs' GPSAI scoreboard combines EGDI + GTMI + Oxford Insights for a triangulated assessment. ### How many countries have national AI strategies in 2026? More than 70 jurisdictions publish a formal national AI strategy as of mid-2025, per the OECD.AI Policy Observatory. By the end of 2026 this is expected to exceed 80 jurisdictions, with new entrants from MENA, Sub-Saharan Africa, and South-East Asia. Strategy publication is necessary but not sufficient — only roughly half of strategies include explicit public-sector implementation roadmaps with funded budget lines. ### What is the Government AI Readiness Index 2025 or 2026 top countries? Top countries in the Government AI Readiness Index 2025 (the most recent edition, published January 2026, covering 195 countries): United States (88.36), Singapore, United Kingdom, Canada, South Korea, Germany, France, Netherlands, Finland, Japan, Sweden, Denmark, Norway, Australia, UAE, Estonia, Switzerland, Ireland, Israel, China. The 2026 edition is expected late 2026. ### What is AI Sentience Readiness Index 2026? There is no widely recognised 'AI Sentience Readiness Index 2026'. This appears to be a misnomer or a search variant. Mainstream AI readiness indices (Oxford Insights, IMF, GTMI) measure governmental and economic capacity, not 'sentience'. The closest scientific reference points are work by Anthropic on model welfare and academic frameworks on AI moral status — not country-level benchmarks. ### What is the International AI Safety Report 2026 summary key findings? The International AI Safety Report 2026 (chaired by Yoshua Bengio, commissioned at the UK AI Safety Summit) provides a scientific consensus synthesis on AI capabilities, risks, and mitigation pathways. Key 2026 findings include: rapid frontier-model capability scaling continues; bioweapon and cyberweapon misuse risks remain plausible but currently bounded; loss-of-control risks are debated; and governance/evaluation infrastructure is the highest-leverage near-term intervention. See the official UK AI Safety Institute publication for the full report. ### What is the CAIDP Index 2026? The Center for AI and Digital Policy (CAIDP) AI and Democratic Values Index assesses ~80 countries on AI policy alignment with democratic values, human rights, and rule of law. The 2026 edition is expected in early 2026 from caidp.org. Earlier editions ranked Canada, Germany, the United Kingdom, the Netherlands, Norway, and Sweden in the top tier. CAIDP complements Oxford Insights by focusing specifically on governance and human rights, not technical readiness. ### What is UNGA Resolution A/RES/78/265 adopted date? UNGA Resolution A/RES/78/265, 'Seizing the opportunities of safe, secure and trustworthy artificial intelligence systems for sustainable development', was adopted by the UN General Assembly without a vote on 21 March 2024. It was the first UN-wide consensus instrument on AI and was followed by A/RES/78/311 (1 July 2024) on capacity-building and A/RES/79/325 (26 August 2025) establishing the 40-member scientific panel and Global Dialogue. ### What is the UN E-Government Survey 2024? The UN E-Government Survey 2024 (released September 2024 by UN DESA) is the 13th edition of the biennial assessment of digital government across all 193 UN Member States. It reports the EGDI global average at 0.6382 (up from 0.6102 in 2022), Europe leading at 0.8493, Africa at 0.4247. The 2024 survey also released a dedicated AI Addendum exploring AI use in government. ### How can governments cite the AI Index in the EU AI Act context? The Stanford HAI AI Index is cited extensively in EU AI Act preparatory documents and Commission communications as a reference for AI capability and adoption trends. It is not, however, a legal basis for the AI Act itself — the AI Act's binding provisions reference Council of Europe, OECD, and ISO standards rather than the AI Index. The AI Index informs Commission's annual AI strategy reports and Member State coordination via the EU AI Board. ### Is the AI Index cited by governments, OECD, and UN? Yes. The Stanford HAI AI Index is cited in OECD AI Outlook publications, multiple UN system reports (UNESCO, ITU, UN DESA E-Gov Survey), Commission communications, and country-level AI policy documents. It functions as the de facto reference for AI macro-statistics across multilateral policy work, alongside the OECD AI Policy Observatory and the EU's annual AI strategy review. ### What is the Government AI Readiness Index 2025 — 195 governments scope? The Oxford Insights Government AI Readiness Index 2025 covers 195 governments — the broadest panel ever assessed in the index's history. The 2025 edition (published January 2026) added several new entrants relative to 2024 (188 countries) and reaffirmed the three-pillar / ten-dimension methodology. The full 195-country dataset and dimension\_score.csv are available on Oxford Insights' download page. ## 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 ### Experimental AI Research (Beta) This report was generated with AI assistance as part of our ongoing exploration of AI-powered research and analysis. The content has been reviewed and edited by humans, but may contain errors or inaccuracies. Please verify critical data points independently. ### Research Framework The index was developed using a claims-map methodology with **40 research questions** (RQ01–RQ40) organized across six domains: definitions/taxonomy, indicator selection, digital foundations, AI readiness, governance instruments, and procurement/transparency. Each claim is traced through: research question → expected data type → target sources → verification method. ### Data Collection Data collection was **100% desk research** (no interviews), leveraging publicly accessible open data, official statistics, institutional reports, and documented sources. All sources are cataloged in the Source Registry with provenance metadata across three tiers: - **Primary sources (27):** Authoritative legal/official texts or government issuances (e.g., EU AI Act, UNGA resolutions, NIST AI RMF) - **Institutional sources (27):** Multilateral/standards body datasets and flagship reports (e.g., UN EGDI, World Bank GTMI, Oxford Insights) - **Secondary sources (20):** Analysis from think tanks, academia, and reputable organizations — included for context and triangulation, not as sole basis ### Reproducibility - All numeric scoreboard indicators are directly extractable from the cited institutional sources (UN EGDI tables, World Bank GTMI pages, Oxford Insights report statements). - A full country-by-country composite index requires downloading the underlying datasets and applying a transparent normalization/weighting script; this report provides the baseline indicator schema but does not claim a complete computed country ranking. - Machine-readable datasets (CSV and JSON) are provided for all 13 core indicators with full provenance metadata. ## Limitations - **AI-assisted generation:** Content may contain errors, hallucinations, or misinterpretations. Critical data points should be independently verified. - **Not peer-reviewed:** This is exploratory research, not academic peer-reviewed work. Treat findings as insights requiring further validation. - **Uneven country coverage:** Different indices cover different numbers of countries/economies (193 vs 195 vs 198), making direct comparisons across indices imprecise. - **Self-report bias:** Several key metrics (UN MSQ, GTMI) rely on self-reported survey data from governments. - **No global AI procurement dataset:** No reproducible, globally comparable metric exists for public-sector AI procurement volumes. - **Index methodology dependence:** Oxford Insights scores depend on weighting choices that change across editions. - **U.S. policy instability:** The revocation of EO 14110 by EO 14148 introduces uncertainty in U.S. federal AI governance metrics. - **Temporal lag:** Source data reflects 2022–2025 publication cycles; real-world conditions may have changed since data collection. ## Data Sources 26 primary sources Source Description Accessed [UN E-Government Survey 2024](https://desapublications.un.org/publications/un-e-government-survey-2024) EGDI data for 193 UN Member States 2026-02-17 [UN DESA AI Addendum](https://desapublications.un.org/sites/default/files/publications/2024-10/Addendum%20on%20AI%20and%20Digital%20Government%20%20E-Government%20Survey%202024.pdf) AI governance survey data from Member States Questionnaire 2026-02-17 [World Bank GTMI 2025](https://www.worldbank.org/en/programs/govtech/gtmi) GovTech Maturity Index covering 198 economies 2026-02-17 [World Bank GTMI 2022](https://www.worldbank.org/en/programs/govtech/2022-gtmi) Previous GTMI edition with good-practices grouping 2026-02-17 [GTMI Reproducibility Package](https://reproducibility.worldbank.org/index.php/catalog/195) Replication files for GTMI methodology validation 2026-02-17 [Oxford Insights Gov AI Readiness Index 2025](https://oxfordinsights.com/ai-readiness/government-ai-readiness-index-2025/) Government AI readiness assessments for 195 countries 2026-02-17 [EU AI Act (EUR-Lex)](https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng) Official EU regulation text (Regulation 2024/1689) 2026-02-17 [GDPR (EUR-Lex)](https://eur-lex.europa.eu/eli/reg/2016/679/oj/eng) General Data Protection Regulation 2026-02-17 [UNGA Resolution A/RES/78/265](https://digitallibrary.un.org/record/4043244) AI for sustainable development resolution 2026-02-17 [UNGA Resolution A/RES/78/311](https://digitallibrary.un.org/record/4054005) Capacity-building and bridging AI divides 2026-02-17 [UNGA Resolution A/RES/79/325](https://digitallibrary.un.org/record/4087699/files/A_RES_79_325-EN.pdf) AI scientific panel and global dialogue 2026-02-17 [NIST AI RMF 1.0](https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-1.pdf) AI risk management framework 2026-02-17 [UNESCO AI Ethics Recommendation](https://www.unesco.org/en/artificial-intelligence/recommendation-ethics) Global normative instrument on AI ethics 2026-02-17 [Council of Europe AI Convention](https://www.coe.int/en/web/artificial-intelligence/convention) Framework Convention on AI and human rights 2026-02-17 [ITU Global Cybersecurity Index 2024](https://www.itu.int/dms_pub/itu-d/opb/hdb/d-hdb-gci.01-2024-pdf-e.pdf) Cybersecurity readiness relevant to AI operations 2026-02-17 [AI Safety Institutes Network Mission Statement](https://www.nist.gov/system/files/documents/2024/11/20/Mission%20Statement%20-%20International%20Network%20of%20AISIs.pdf) International coordination for AI safety evaluation 2026-02-17 [U.S. Executive Order 14110](https://www.govinfo.gov/link/cpd/executiveorder/14110) Safe, secure, and trustworthy AI (revoked by EO 14148) 2026-02-17 [OMB M-24-18 (AI Acquisition)](https://whitehouse.gov/wp-content/uploads/2024/10/Memorandum.pdf) Responsible AI acquisition memorandum 2026-02-17 [UK AI Procurement Guidelines](https://www.gov.uk/government/publications/guidelines-for-ai-procurement/guidelines-for-ai-procurement) Government guidelines for AI procurement 2026-02-17 [EU Model Contractual Clauses for AI](https://public-buyers-community.ec.europa.eu/community-ai/resources/proposal-standard-contractual-clauses) Standardized contracting controls for public buyers 2026-02-17 [OECD Governing with AI](https://www.oecd.org/en/publications/governing-with-intelligence_795de142-en.html) OECD analysis on AI in public procurement 2026-02-17 [African Union Continental AI Strategy](https://au.int/sites/default/files/documents/44004_Continental_AI_Strategy_July_2024.pdf) Pan-African AI governance framework 2026-02-17 [Canada Algorithmic Impact Assessment](https://www.canada.ca/en/government/system/digital-government/digital-government-innovations/responsible-use-ai/algorithmic-impact-assessment.html) Federal AIA tool for automated decision systems 2026-02-17 [UK Algorithmic Transparency Standard](https://www.gov.uk/government/collections/algorithmic-transparency-recording-standard-hub) Government transparency standard for algorithmic tools 2026-02-17 [World Bank ID4D](https://blogs.worldbank.org/en/digital-development/globally-dont-have-id-why-matters-and-what-we-can-do) Digital identity gap statistics 2026-02-17 [OCDS Schema](https://standard.open-contracting.org/latest/en/schema/) Open Contracting Data Standard for procurement analysis 2026-02-17 ## Version History 1.7 2026-06-26 Latest Deep expansion — added 'Expanded Analysis — June 2026' mega-chapter with 20 quotable stat callouts (each single-sentence with source URL), Top 20 countries Oxford 2025 table, Oxford Insights edition history 2017–2026, EGDI historical trend table, EU AI Act article-by-article procurement reference table (16 articles incl. application dates and public-sector implications), Stanford HAI 2025 U.S.–China snapshot, AI Index publication taxonomy table (distinguishing Stanford HAI / Artificial Analysis / Oxford Insights / EGDI / GTMI / CAIDP / ITU GCI), public-sector AI use cases by country (20 illustrative deployments), International Network of AI Safety Institutes members table, 35 expanded FAQ entries targeting GSC long-tail queries (AI Index 2026 release date / PDF / charts / key findings; Government AI Readiness Index 2026 / dimension\_score.csv / India rank / top countries; EGDI 2026; Artificial Analysis Intelligence Index April/March 2026; AI Preparedness Index; UNGA A/RES/78/265; EU AI Act extraterritorial scope; EU AI Act fines; AI applications in government 2026; AI ranking by country 2026; AI Governance Index; AI Sentience Readiness Index; International AI Safety Report 2026; CAIDP Index 2026; AI Talent Concentration 2026; AI Regulation Index 2026; AI Ready Data; AI Readiness Assessment; National AI Strategies count 2026), 28-term glossary anchored to UN DESA / EUR-Lex / NIST / ISO / UNESCO / OECD / CoE / OMB / World Bank / Stanford HAI sources, visible version history timeline, How-to-cite section with APA / MLA / Chicago / BibTeX formats, Updates Since Publication log. Approximately +6,000 new words. 1.6 2026-06-26 Q2 2026 refresh. Added 'Q2 2026 Update' chapter with enforcement-edge commentary (EU AI Act applicability dates, Stanford HAI AI Index 2025 figures, OECD national-strategies count, Eurostat 2025 enterprise AI statistics, McKinsey State of AI 2025, BCG AI Radar 2025). Added 6 new FAQ entries addressing GSC queries: 'ai index report 2026', 'ai readiness index 2026', 'EGDI 2026', 'dimension score.csv', 'public sector ai adoption index 2026', 'EU AI Act'. Added visible Last-reviewed badge. Bumped dateModified to 2026-06-26. 1.2 2026-02-17 Added JSON-LD structured data (Report + Dataset + FAQPage). Expanded scoreboard to 17 indicators. Added 30/60/90-day recommendations chapter. New visualizations: EGDI trend line (2018–2024), Index Coverage Comparison, Procurement Governance Funnel, Cybersecurity Dashboard, Readiness Gap chart. Added Data Dictionary. Enhanced governance timeline with U.S. executive orders. 1.1 2026-02-17 Expanded to 7 chapters. Added: U.S. federal AI policy context (EO 14110/14148, OMB M-24-10/M-24-18), cybersecurity & digital identity dimensions, algorithmic transparency mechanisms, regional AI strategies, FAQ section, governance timeline visualization, radar chart, digital access progress dashboard. Expanded data sources from 13 to 26. Added update cadence table. 1.0 2026-02-17 Initial release. 13 scoreboard indicators from 4 institutional sources. 15 key findings. 3 scenarios for 2026-2028. ## 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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