65 report tables and source notes
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AI-Diffusion-Report-2025-H1
- Historical economic comparison in report prose — source page 4
- Population and prerequisites for AI access — source page 7
- Sub-Saharan Africa share of global population without electricity — source page 8
- Zambia: connectivity and AI adoption — source page 10
- English representation in web content and population — source page 12
- Further language-access counts — source page 12
- Language barrier: numerical claims — source page 13
- Open model ecosystem claim — source page 15
- AI frontier index and months to frontier — source page 16
- Installed data center capacity, mid-2025 — source page 17
- Additional quantitative claims — source page 18
- AI diffusion data source — source page 19
- AI diffusion data source — source page 20
AI-Diffusion-Report-2025-H2
- AI diffusion by broad region — source page 2
- Top 30 diffusion over time — source page 4
- Global North–South adoption gap — source page 5
- Ten economies with largest published gains — source page 6
- AI user base growth: labelled South Korea bar — source page 7
- Growth since October 2024: narrative comparisons — source page 7
- Korean SAT / CSAT benchmark score — source page 8
- English and Korean benchmark percentiles — source page 8
- AI trust in 2025 — source page 9
- DeepSeek market share: explicitly labelled economies — source page 10
- DeepSeek usage in Africa relative to other regions — source page 10
- AI diffusion appendix — source page 14
- AI diffusion appendix — source page 15
- AI diffusion appendix — source page 16
- AI diffusion appendix — source page 17
AI-Diffusion-Report-2026-Q1
- Economies above 30% AI diffusion — source page 2
- Global AI diffusion through Q1 2026 — source page 5
- Foundations for AI access — source page 5
- Fastest growing economies since June 2025 — source page 6
- Japan adoption and Japanese exam performance — source page 8
- English and Japanese benchmark performance — source page 9
- Year-over-year growth in Git pushes — source page 9
- MMLU: English and Japanese accuracy (%) — source page 9
- MMLU-Pro: English and Japanese accuracy (%) — source page 9
- Global Git pushes: labeled endpoints — source page 10
- GPT-5.3-Codex benchmark claims — source page 10
- New GitHub repositories: labeled endpoints — source page 11
- GitHub pull requests associated with AI agents: labeled endpoints — source page 12
- US software developer employment — source page 12
- Economy appendix, page 17 — source page 17
- Economy appendix, page 18 — source page 18
- Economy appendix, page 19 — source page 19
- Economy appendix, page 20 — source page 20
AI-Diffusion-Report-2026-Q2
- Global AI diffusion through Q2 2026 — source page 5
- Copilot intent prevalence relative to the global conversation mix — source page 5
- Copilot traffic shares in the intent analysis — source page 5
- OpenRouter open-weight token usage — source page 7
- Artificial Analysis frontier labels — source page 7
- GLM 5.3 Flash cost compared with GPT 5.6 Sol high — source page 8
- Hugging Face Spaces: labeled counts — source page 9
- Bring Your Own Language performance improvement — source page 9
- Economy appendix, page 13 — source page 13
- Economy appendix, page 14 — source page 14
- Economy appendix, page 15 — source page 15
- Economy appendix, page 16 — source page 16
US-AI-Diffusion-Report-2026-Q1
- College-age population and AI adoption — source page 2
- AI adoption by county urbanization class — source page 5
- Urbanization and trust — source page 5
- Top 15 counties by AI user share, minimum 10,000 population — source page 7
- Top-county context — source page 7
- 35 largest metropolitan areas — source page 8
- State AI diffusion ranking — source page 13