Research HubOpen DataUpdated Apr 23, 2026

    AI Research & Reports

    Open-access AI research covering government readiness, enterprise adoption, and public-sector procurement. 16 reports, 192 key findings, 212k+ words of analysis.

    Alice Labs Research is an experimental initiative using AI models to analyze public data, synthesize insights, and publish open-methodology reports. Every claim links to sources, every dataset is downloadable, every finding is reproducible.

    Experimental AI Research (Beta): This is an ongoing project exploring AI-powered research and analysis. While we cite all sources and strive for accuracy, errors may occur — please verify critical data points independently.

    16
    Reports
    192
    Key Findings
    212k+
    Words
    Free
    Open Access

    Featured Report

    GlobalApril 2026v1.063 min read12 key findings

    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

    Citation-grade AI automation ROI benchmark showing why workflow-level AI value is real but enterprise ROI remains uneven. Covers 47 public benchmark metrics, field-study productivity gains, customer support ROI, HR automation, finance automation, coding productivity, hours saved, cost avoidance, CFO measurement framework, CSV/JSON downloads, FAQ, and citation-ready claims.

    8 countries
    47 indicators
    Read the full report
    GlobalApr 2026v1.063 min read

    Enterprise AI Operating Model Report 2026

    Citation-grade enterprise AI operating model report showing why large organizations are converging on federated hub-and-spoke governance with centralized guardrails. Covers 15 public enterprise cases, 80 sources, decision-rights matrix, AI literacy, third-party AI governance, maturity model, CSV/JSON downloads, FAQ, and citation-ready claims.

    12 findings8 countries15 indicators
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    NordicApr 2026v1.063 min read

    Nordic AI Talent Pipeline Report 2026

    Citation-grade Nordic AI talent and education pipeline report showing why the region's AI capacity is credible but unevenly observable: Sweden has the broadest visible research base and 8.6% ICT-specialist employment, Denmark leads enterprise AI adoption at 42.0%, Finland combines FCAI, ELLIS, Elements of AI and LUMI, Norway is scaling through NOK 1B and six AI centres, and Iceland is an agile small-state case. Includes CSV/JSON downloads, charts, citation-ready claims, and FAQ.

    12 findings5 countries27 indicators
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    NordicApr 2026v1.060 min read

    Nordic AI Competitiveness Index 2026

    Citation-grade Nordic AI benchmark showing why there is no single regional winner: Denmark leads enterprise AI adoption (42.03%), Norway leads government readiness (#10 globally), Finland leads per-capita AI vibrancy (20.49), Sweden leads the Oxford infrastructure pillar, and Iceland is a small-system reformer with under-measured momentum. Includes CSV/JSON downloads, citation-ready claims, charts, and country profiles.

    12 findings5 countries47 indicators
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    GlobalApr 2026v1.053 min read

    EU AI Enforcement and Regulatory Case Database 2026

    Public-source observatory of 27 EU AI enforcement case rows and 80 sources across GDPR enforcement, Clearview biometric fines, Italy GenAI actions, SCHUFA and Dun & Bradstreet CJEU rulings, algorithmic management, public-sector AI, consumer protection, and competition law. Includes CSV/JSON downloads, citation-ready claim blocks, and AI Act enforcement context.

    12 findings8 countries27 indicators
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    GlobalApr 2026v1.078 min read

    EU AI Infrastructure and Compute Capacity Report 2026

    Citation-grade assessment of the EU's AI compute stack: 6 AWS / 13 Azure / 11 GCP EU regions, 19 EuroHPC AI Factories (14 supercomputers, 10 quantum, EUR 7 bn budget), AI Gigafactory consultation (76 EOIs, 16 member states, 60 sites), FLAP-D 3.6 GW live capacity, sovereign-cloud GA across hyperscalers, NIS2/DORA/Data Act/AI Act compliance grid. 80 sources, 32 indicators.

    12 findings27 countries32 indicators
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    GlobalApr 2026v1.075 min read

    EU AI Investment and Startup Landscape 2026

    Maps the European AI ecosystem across 5 layers: enterprise adoption (20%, up from 13.5%), startup density, AI VC (USD 15.8 bn EU27 = 6% global vs 75% US), scale-stage financing, and public infrastructure (19 AI Factories, EUR 200 bn InvestAI). 80 sources, 30-indicator scoreboard, 8 country snapshots (FR, DE, NL, ES, PL, EE, SE, BE), Apply AI sectors.

    12 findings27 countries30 indicators
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    GlobalApr 2026v1.0.175 min read

    EU AI Act Implementation Tracker 2026

    Implementation map of Regulation (EU) 2024/1689 — countdown to 2 Aug 2026. 10/27 member states with advanced public evidence (IE, ES, LT, FI, FR, DE, NL, PL, CY, IT). 80 sources, 25-indicator scoreboard, sandbox tracker, AI Office guidance, GPAI Code of Practice, FRIA, Article 4 & 50 obligations.

    12 findings27 countries25 indicators
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    GlobalApr 2026v1.070 min read

    Global AI Productivity Impact Report 2026

    Public-source desk research on measurable AI productivity gains. +14% customer support, +26% developer tasks, +4% EU firm productivity. 26 indicators from BLS, Eurostat, OECD, IMF, NBER, BIS, MIT, HBS. Macro estimates +0.07pp to +1.3pp/yr.

    12 findings9 countries26 indicators
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    GlobalApr 2026v1.165 min read

    Global AI Talent & Compensation Index 2026

    Benchmark AI labor demand and compensation across 9+ countries using official wage statistics. US median $112,590, Canada CAD 46.15/h, Singapore SGD 8,992/m. 80 sources, 26-indicator dataset, EU AI Act + Pay Transparency Directive coverage.

    12 findings9 countries26 indicators
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    GlobalFeb 2026v1.080 min read

    Global AI Governance & Risk Readiness Report 2026

    Evidence-based map of 2026 AI governance laws, standards, and readiness controls — EU AI Act timelines, US policy shifts, China rules, ISO 42001, 5-level maturity model, 85 public sources. For boards & compliance.

    12 findings9 countries20 indicators
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    GlobalFeb 2026v1.270 min read

    Global Public Sector AI Index 2026

    Reproducible benchmarking framework for public-sector AI maturity — EGDI 0.6382, GTMI 0.589, Oxford AI Readiness across 195 countries. 17 core indicators, governance mapping, 3 scenarios for 2026–2028.

    15 findings195 countries17 indicators
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    GlobalFeb 2026v1.070 min read

    Global AI Adoption Index 2026

    Reproducible, cross-geography benchmark with 15 core indicators from 5 official statistical systems. EU at 19.95%, OECD at 20.2%, 38-point SME gap, 70.9% skills barrier. Machine-readable dataset (GAIAI-CI v1.0).

    15 findings37 countries15 indicators
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    SwedenFeb 2026v1.075 min read

    Public Sector AI Procurement Atlas – Sweden 2026

    Comprehensive mapping of 250+ AI contracts (2016–2025) worth SEK 1.3 billion across Swedish municipalities, regions, and agencies. Case studies, vendor landscape, governance gaps, and 2028 outlook.

    10 findings12 indicators
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    SwedenFeb 2026v1.060 min read

    GenAI Adoption Index – Sweden 2026

    Data-driven analysis of GenAI adoption across Swedish enterprises, public sector, and the general population. Scoreboard, barriers, governance, international comparison, and 30/60/90-day recommendations.

    10 findings10 indicators
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    SwedenFeb 2026v1.043 min read

    State of AI in Sweden 2026

    Comprehensive analysis of AI adoption, policy, startups, public sector, and infrastructure in Sweden based on public data sources.

    10 findings10 indicators
    Read report

    Frequently Asked Questions

    What is Alice Labs Research?

    Alice Labs Research is an experimental initiative where we use AI models to produce data-driven, reproducible reports on technology, business, and society. All reports are based on public data sources and designed to be transparent and citable – though we recommend verifying critical claims independently.

    How do I cite an Alice Labs report?

    Each report includes an automated citation section with APA and BibTeX formats. Simply copy the citation directly from the report page. All reports include DOI-style versioning for precise referencing.

    Are the datasets publicly available?

    Yes. We publish machine-readable scoreboards (CSV/JSON) alongside each report. Download links are available in the Scoreboard section of each report. Our commitment is to full transparency and reproducibility.

    How often are reports updated?

    Major reports like 'State of AI in Sweden' are published annually with version updates as significant new data becomes available. Industry-specific reports follow sector cycles and regulatory changes.

    Can I use the data in my own research?

    Absolutely. All Alice Labs reports are published under open principles. We encourage academic citations, journalistic use, and derivative analysis. Please attribute 'Alice Labs Research' as the source.

    What makes Alice Labs reports different?

    Three principles: (1) Reproducibility – every claim links to a public source, (2) Machine-readability – structured data tables for programmatic access, (3) Permanence – reports are versioned and never deleted, ensuring citation stability.