AI Diffusion Report 2026 Q1 — transcribed tables
These tables reproduce the existing in/out transcription of printed Microsoft report values. Notes retain source periods, units, approximations and known inconsistencies. Point values are not inferred from unlabeled charts. This is a transcription, not a new Microsoft dataset; verify critical figures against the linked original page.
Microsoft-AI-Diffusion-Report-2026-Q1.pdf · page 2
Economies above 30% AI diffusion
Q1 2026.
Read Economies above 30% AI diffusion in the original PDF
| Measure | Value |
|---|---|
| Economies exceeding 30% of working-age population using AI | 26 |
Microsoft-AI-Diffusion-Report-2026-Q1.pdf · page 5
Global AI diffusion through Q1 2026
Gap is percentage points, although the Q1 report prints percent signs. Q1 change compares Q1 2026 with H2 2025.
Read Global AI diffusion through Q1 2026 in the original PDF
| Region | H1 2025 (%) | H2 2025 (%) | Q1 2026 (%) | Q1 change (pp) |
|---|---|---|---|---|
| Global North | 22.9 | 24.7 | 27.5 | 2.8 |
| Global South | 13.1 | 14.1 | 15.4 | 1.3 |
| World | 15.1 | 16.3 | 17.8 | 1.5 |
| North–South gap | 9.8 | 10.6 | 12.1 | None |
Microsoft-AI-Diffusion-Report-2026-Q1.pdf · page 5
Foundations for AI access
The report cites World Bank Population 2024, Our World in Data electricity access, ITU Internet use 2024 and ITU information/data-literacy skills. Different indicators and populations; do not interpret as a single conversion funnel.
Read Foundations for AI access in the original PDF
| Region | AI user share (%) | Digital skills (%) | Internet access (%) | Electricity access (%) | Population baseline (%) |
|---|---|---|---|---|---|
| Global North | 27.5 | 70.1 | 90.1 | 98.1 | 100 |
| Global South | 15.4 | 48.2 | 65.7 | 88.9 | 100 |
Microsoft-AI-Diffusion-Report-2026-Q1.pdf · page 6
Fastest growing economies since June 2025
Relative growth Q1 2026 versus H1 2025, as labeled in the chart; values may differ from ratios computed on rounded appendix values.
Read Fastest growing economies since June 2025 in the original PDF
| Economy | Increase in AI user share (%) |
|---|---|
| South Korea | 43.2 |
| Thailand | 36.4 |
| Japan | 34.1 |
| Mongolia | 32.3 |
| Iran | 31.4 |
| Laos | 31.2 |
| Turkey | 30.3 |
| Belarus | 27.6 |
| El Salvador | 25.7 |
| Kazakhstan | 25.6 |
| Kyrgyzstan | 25.5 |
| Uzbekistan | 25.5 |
| Vietnam | 24.9 |
| Cambodia | 24.8 |
| Russia | 24.6 |
Microsoft-AI-Diffusion-Report-2026-Q1.pdf · page 8
Japan adoption and Japanese exam performance
Report narrative says 3.4pp growth is more than three times global average; its table reports global change 1.5 pp, so that narrative comparison is internally inconsistent. Exam endpoints summarize different cited studies rather than a harmonized series.
Read Japan adoption and Japanese exam performance in the original PDF
| Measure | Value | Unit |
|---|---|---|
| Japan rank H1 2025 | 56 | rank |
| Japan rank Q1 2026 | 48 | rank |
| Japan Q1 adoption increase | 3.4 | pp |
| Earlier Japanese professional-exam accuracy | 50.8 | % (approximately) |
| Recent Japanese professional-exam accuracy lower bound | 90 | % (over) |
Microsoft-AI-Diffusion-Report-2026-Q1.pdf · page 9
English and Japanese benchmark performance
Visually verified color mapping: English dark blue, Japanese light blue. MMLU and MMLU-Pro are different benchmarks and should be charted separately.
Read English and Japanese benchmark performance in the original PDF
| Benchmark | Model | Release | English accuracy (%) | Japanese accuracy (%) |
|---|---|---|---|---|
| MMLU | GPT-3.5 Turbo | Mar 2023 | 70 | 50 |
| MMLU | GPT-4o | Aug 2024 | 89 | 80 |
| MMLU-Pro | GPT-4o | Aug 2024 | 69 | 75 |
| MMLU-Pro | GPT-5 | Aug 2025 | 85 | 87 |
Microsoft-AI-Diffusion-Report-2026-Q1.pdf · page 9
Year-over-year growth in Git pushes
Source named by report: GitHub. Year-over-year growth during Q1 2026.
Read Year-over-year growth in Git pushes in the original PDF
| Geography | Year-over-year growth (%) |
|---|---|
| Japan | 129 |
| Global | 78 |
Microsoft-AI-Diffusion-Report-2026-Q1.pdf · page 9
MMLU: English and Japanese accuracy (%)
A separate benchmark; scores should not be compared across MMLU and MMLU-Pro. Duplicate numeric view of the combined benchmark table.
Read MMLU: English and Japanese accuracy (%) in the original PDF
| Model | Release | English (%) | Japanese (%) |
|---|---|---|---|
| GPT-3.5 Turbo | Mar 2023 | 70 | 50 |
| GPT-4o | Aug 2024 | 89 | 80 |
Microsoft-AI-Diffusion-Report-2026-Q1.pdf · page 9
MMLU-Pro: English and Japanese accuracy (%)
A separate benchmark; scores should not be compared across MMLU and MMLU-Pro. Duplicate numeric view of the combined benchmark table.
Read MMLU-Pro: English and Japanese accuracy (%) in the original PDF
| Model | Release | English (%) | Japanese (%) |
|---|---|---|---|
| GPT-4o | Aug 2024 | 69 | 75 |
| GPT-5 | Aug 2025 | 85 | 87 |
Microsoft-AI-Diffusion-Report-2026-Q1.pdf · page 10
Global Git pushes: labeled endpoints
Chart annotation reports +78% YoY. Unlabeled historical line is preserved in the source page; these are the only explicitly labeled values.
Read Global Git pushes: labeled endpoints in the original PDF
| Period | Git pushes (millions) |
|---|---|
| Q1 2025 | 213 |
| Q1 2026 | 380 |
Microsoft-AI-Diffusion-Report-2026-Q1.pdf · page 10
GPT-5.3-Codex benchmark claims
Approximately/around values in report prose; specific benchmark versions not provided in this paragraph.
Read GPT-5.3-Codex benchmark claims in the original PDF
| Benchmark | Accuracy (%) |
|---|---|
| Terminal-Bench | 77 |
| OSWorld | 65 |
Microsoft-AI-Diffusion-Report-2026-Q1.pdf · page 11
New GitHub repositories: labeled endpoints
Chart annotation reports +45% YoY. Historical line is not numerically labeled.
Read New GitHub repositories: labeled endpoints in the original PDF
| Period | New repositories (millions) |
|---|---|
| Q1 2025 | 14.7 |
| Q1 2026 | 21.3 |
Microsoft-AI-Diffusion-Report-2026-Q1.pdf · page 12
GitHub pull requests associated with AI agents: labeled endpoints
Chart annotation reports 28× in 10 months. Narrative page 11 says since June 2025, conflicting with chart May 2025. The full historical line has no exact labels.
Read GitHub pull requests associated with AI agents: labeled endpoints in the original PDF
| Period | Agentic pull requests (millions) |
|---|---|
| May 2025 | 0.083 |
| Mar 2026 | 2.3 |
Microsoft-AI-Diffusion-Report-2026-Q1.pdf · page 12
US software developer employment
Reported from BLS CPS. These measures do not establish causal effects of AI on employment.
Read US software developer employment in the original PDF
| Measure | Value | Unit | Period |
|---|---|---|---|
| Employment | 2.2 | million (approximately) | 2025 |
| Employment year-over-year growth | 8.5 | % | 2025 |
| Employment year-over-year growth | 4 | % (about) | March 2026 |
Microsoft-AI-Diffusion-Report-2026-Q1.pdf · page 17
Economy appendix, page 17
Original report snapshot; compare with CSV vintages rather than silently overwriting prior values.
Read Economy appendix, page 17 in the original PDF
| Economy | H1 2025 (%) | H2 2025 (%) | Q1 2026 (%) | Q1 change (pp) |
|---|---|---|---|---|
| United Arab Emirates | 59.4 | 64.0 | 70.1 | 6.1 |
| Singapore | 58.6 | 60.9 | 63.4 | 2.5 |
| Norway | 45.3 | 46.4 | 48.6 | 2.2 |
| Ireland | 41.7 | 44.6 | 48.4 | 3.8 |
| France | 40.9 | 44.0 | 47.8 | 3.8 |
| Spain | 39.7 | 41.8 | 44.2 | 2.4 |
| New Zealand | 37.6 | 40.5 | 43.0 | 2.5 |
| United Kingdom | 36.4 | 38.9 | 42.2 | 3.3 |
| Netherlands | 36.3 | 38.9 | 42.1 | 3.2 |
| Qatar | 35.7 | 38.3 | 41.8 | 3.5 |
| Australia | 34.5 | 36.9 | 39.5 | 2.6 |
| Belgium | 33.5 | 36.0 | 39.0 | 3.0 |
| Israel | 33.9 | 36.1 | 38.1 | 2.0 |
| Switzerland | 32.4 | 34.8 | 37.8 | 3.0 |
| Canada | 33.5 | 35.0 | 37.3 | 2.3 |
| South Korea | 25.9 | 30.7 | 37.1 | 6.4 |
| Sweden | 31.2 | 33.3 | 36.1 | 2.8 |
| Austria | 29.1 | 31.4 | 34.1 | 2.7 |
| Hungary | 27.9 | 29.8 | 32.2 | 2.4 |
| Taiwan | 26.4 | 28.4 | 31.8 | 3.4 |
| United States | 26.3 | 28.3 | 31.3 | 3.0 |
| Denmark | 26.6 | 28.7 | 31.2 | 2.5 |
| Germany | 26.5 | 28.6 | 31.1 | 2.5 |
| Poland | 26.4 | 28.5 | 31.0 | 2.5 |
| Italy | 25.8 | 27.8 | 30.2 | 2.4 |
| Czech Republic | 26.0 | 27.8 | 30.1 | 2.3 |
| Jordan | 25.4 | 27.0 | 29.7 | 2.7 |
| Bulgaria | 25.4 | 27.3 | 29.7 | 2.4 |
| Finland | 25.6 | 27.3 | 29.5 | 2.2 |
| Saudi Arabia | 23.7 | 26.2 | 29.4 | 3.2 |
| Slovenia | 24.6 | 26.5 | 29.0 | 2.5 |
| Costa Rica | 25.1 | 26.5 | 28.5 | 2.0 |
| Lebanon | 24.8 | 25.7 | 27.3 | 1.6 |
| Vietnam | 21.2 | 23.5 | 26.5 | 3.0 |
| Oman | 22.6 | 24.2 | 26.5 | 2.3 |
| Portugal | 22.4 | 24.2 | 26.4 | 2.2 |
| Croatia | 21.8 | 23.7 | 26.1 | 2.4 |
| Slovak Republic | 22.1 | 23.8 | 26.1 | 2.3 |
| Dominican Republic | 22.0 | 22.7 | 24.8 | 2.1 |
| Uruguay | 20.9 | 22.5 | 24.6 | 2.1 |
Microsoft-AI-Diffusion-Report-2026-Q1.pdf · page 18
Economy appendix, page 18
Original report snapshot; compare with CSV vintages rather than silently overwriting prior values.
Read Economy appendix, page 18 in the original PDF
| Economy | H1 2025 (%) | H2 2025 (%) | Q1 2026 (%) | Q1 change (pp) |
|---|---|---|---|---|
| Colombia | 20.4 | 22.0 | 24.5 | 2.5 |
| Lithuania | 21.0 | 22.4 | 24.3 | 1.9 |
| Serbia | 19.7 | 21.5 | 24.1 | 2.6 |
| Jamaica | 22.2 | 22.1 | 24.0 | 1.9 |
| Panama | 20.3 | 21.5 | 23.3 | 1.8 |
| South Africa | 19.3 | 21.1 | 23.1 | 2.0 |
| Chile | 19.6 | 20.8 | 22.7 | 1.9 |
| Japan | 16.7 | 19.1 | 22.5 | 3.4 |
| Bosnia And Herzegovina | 18.2 | 19.5 | 22.1 | 2.6 |
| Argentina | 17.8 | 19.6 | 21.9 | 2.3 |
| Malaysia | 18.3 | 19.7 | 21.8 | 2.1 |
| Kuwait | 17.7 | 19.1 | 21.1 | 2.0 |
| Greece | 17.7 | 19.1 | 20.8 | 1.7 |
| Georgia | 17.3 | 18.2 | 20.5 | 2.3 |
| Mexico | 16.7 | 17.8 | 20.1 | 2.3 |
| Philippines | 17.1 | 18.3 | 20.1 | 1.8 |
| Ecuador | 17.0 | 17.7 | 19.5 | 1.8 |
| Brazil | 15.6 | 17.1 | 19.1 | 2.0 |
| Albania | 15.8 | 16.5 | 18.5 | 2.0 |
| Moldova | 16.6 | 17.0 | 18.5 | 1.5 |
| El Salvador | 14.6 | 16.2 | 18.3 | 2.1 |
| Azerbaijan | 14.2 | 15.5 | 17.7 | 2.2 |
| India | 14.2 | 15.7 | 17.6 | 1.9 |
| Romania | 15.3 | 16.2 | 17.5 | 1.3 |
| Turkey | 13.4 | 14.6 | 17.4 | 2.8 |
| Mongolia | 12.6 | 14.3 | 16.7 | 2.4 |
| Guatemala | 13.7 | 14.8 | 16.4 | 1.6 |
| Peru | 13.4 | 14.7 | 16.4 | 1.7 |
| China | 15.4 | 16.3 | 16.4 | 0.1 |
| Kazakhstan | 12.7 | 13.7 | 15.9 | 2.2 |
| Namibia | 13.0 | 13.8 | 15.1 | 1.3 |
| Gabon | 12.3 | 13.4 | 15.0 | 1.6 |
| Libya | 12.7 | 13.7 | 15.0 | 1.3 |
| Egypt | 12.5 | 13.4 | 14.8 | 1.4 |
| Botswana | 12.8 | 13.7 | 14.8 | 1.1 |
| Nepal | 12.3 | 13.0 | 14.2 | 1.2 |
| Indonesia | 11.7 | 12.7 | 14.1 | 1.4 |
| Honduras | 12.4 | 13.1 | 14.0 | 0.9 |
| Senegal | 12.4 | 12.9 | 13.9 | 1.0 |
| Tunisia | 12.3 | 12.7 | 13.5 | 0.8 |
Microsoft-AI-Diffusion-Report-2026-Q1.pdf · page 19
Economy appendix, page 19
Original report snapshot; compare with CSV vintages rather than silently overwriting prior values.
Read Economy appendix, page 19 in the original PDF
| Economy | H1 2025 (%) | H2 2025 (%) | Q1 2026 (%) | Q1 change (pp) |
|---|---|---|---|---|
| Algeria | 11.3 | 12.0 | 13.2 | 1.2 |
| Zambia | 11.7 | 12.3 | 13.1 | 0.8 |
| Cote D'Ivoire | 10.8 | 11.7 | 13.1 | 1.4 |
| Bolivia | 10.9 | 11.6 | 12.7 | 1.1 |
| Iran | 9.6 | 10.7 | 12.6 | 1.9 |
| Iraq | 10.3 | 11.2 | 12.5 | 1.3 |
| Thailand | 9.1 | 10.7 | 12.4 | 1.7 |
| Paraguay | 10.1 | 11.0 | 12.2 | 1.2 |
| Nicaragua | 10.0 | 10.7 | 11.8 | 1.1 |
| Morocco | 10.5 | 10.9 | 11.7 | 0.8 |
| Gambia | 10.6 | 10.9 | 11.4 | 0.5 |
| Pakistan | 9.7 | 10.3 | 11.4 | 1.1 |
| Angola | 8.9 | 9.7 | 10.9 | 1.2 |
| Madagascar | 8.9 | 9.7 | 10.9 | 1.2 |
| Malawi | 8.9 | 9.7 | 10.9 | 1.2 |
| Mozambique | 8.9 | 9.7 | 10.9 | 1.2 |
| French Guiana | 8.3 | 9.0 | 10.3 | 1.3 |
| Guyana | 8.3 | 9.0 | 10.3 | 1.3 |
| Suriname | 8.3 | 9.0 | 10.3 | 1.3 |
| Venezuela | 8.3 | 9.0 | 10.3 | 1.3 |
| Benin | 8.7 | 9.3 | 10.1 | 0.8 |
| Burkina Faso | 8.7 | 9.3 | 10.1 | 0.8 |
| Ghana | 8.7 | 9.3 | 10.1 | 0.8 |
| Guinea | 8.7 | 9.3 | 10.1 | 0.8 |
| Guinea-Bissau | 8.7 | 9.3 | 10.1 | 0.8 |
| Liberia | 8.7 | 9.3 | 10.1 | 0.8 |
| Mali | 8.7 | 9.3 | 10.1 | 0.8 |
| Mauritania | 8.7 | 9.3 | 10.1 | 0.8 |
| Niger | 8.7 | 9.3 | 10.1 | 0.8 |
| Nigeria | 8.7 | 9.3 | 10.1 | 0.8 |
| Sierra Leone | 8.7 | 9.3 | 10.1 | 0.8 |
| Togo | 8.7 | 9.3 | 10.1 | 0.8 |
| Myanmar | 8.4 | 9.1 | 10.0 | 0.9 |
| Lesotho | 8.8 | 9.1 | 9.8 | 0.7 |
| Belarus | 7.6 | 8.4 | 9.6 | 1.2 |
| Kyrgyzstan | 7.6 | 8.2 | 9.5 | 1.3 |
| Russia | 7.6 | 8.0 | 9.5 | 1.5 |
| Ukraine | 9.1 | 9.0 | 9.4 | 0.4 |
| Kenya | 7.8 | 8.1 | 8.7 | 0.6 |
| Cameroon | 7.0 | 7.8 | 8.7 | 0.9 |
Microsoft-AI-Diffusion-Report-2026-Q1.pdf · page 20
Economy appendix, page 20
Original report snapshot; compare with CSV vintages rather than silently overwriting prior values.
Read Economy appendix, page 20 in the original PDF
| Economy | H1 2025 (%) | H2 2025 (%) | Q1 2026 (%) | Q1 change (pp) |
|---|---|---|---|---|
| Central African Republic | 7.0 | 7.8 | 8.7 | 0.9 |
| Chad | 7.0 | 7.8 | 8.7 | 0.9 |
| Congo | 7.0 | 7.8 | 8.7 | 0.9 |
| Democratic Republic Of The Congo | 7.0 | 7.8 | 8.7 | 0.9 |
| Zimbabwe | 6.9 | 7.6 | 8.5 | 0.9 |
| Haiti | 7.1 | 7.6 | 8.5 | 0.9 |
| Laos | 6.0 | 6.7 | 7.8 | 1.1 |
| Bangladesh | 6.5 | 7.1 | 7.8 | 0.7 |
| Papua New Guinea | 7.2 | 7.3 | 7.7 | 0.4 |
| Burundi | 6.4 | 6.8 | 7.6 | 0.8 |
| Eritrea | 6.4 | 6.8 | 7.6 | 0.8 |
| Ethiopia | 6.4 | 6.8 | 7.6 | 0.8 |
| Somalia | 6.4 | 6.8 | 7.6 | 0.8 |
| South Sudan | 6.4 | 6.8 | 7.6 | 0.8 |
| Sudan | 6.4 | 6.8 | 7.6 | 0.8 |
| Tanzania | 6.4 | 6.8 | 7.6 | 0.8 |
| Uganda | 6.4 | 6.8 | 7.6 | 0.8 |
| Syria | 6.7 | 7.1 | 7.5 | 0.4 |
| Armenia | 6.2 | 6.6 | 7.4 | 0.8 |
| Sri Lanka | 6.2 | 6.6 | 7.3 | 0.7 |
| Rwanda | 6.0 | 6.3 | 7.2 | 0.9 |
| Uzbekistan | 5.7 | 6.3 | 7.2 | 0.9 |
| Cuba | 5.7 | 6.1 | 6.7 | 0.6 |
| Afghanistan | 5.1 | 5.6 | 6.1 | 0.5 |
| Tajikistan | 5.1 | 5.6 | 6.1 | 0.5 |
| Turkmenistan | 5.1 | 5.6 | 6.1 | 0.5 |
| Cambodia | 4.6 | 5.1 | 5.7 | 0.6 |