AI Adoption AtlasWEEKLY
About one in five working-age people now use AI. Money and usage volume are growing several times faster than the number of people and firms adopting it.
UPDATED 23 OCT 2026MODEL v0.1
People using AI, world
20.3%
+3.6 pp in 12 months
Firms using AI, world est.
18.9%
+4.7 pp in 12 months
Builder index, world
45.7/100
+5.4 pts in 12 months
Diffusion speed
61/100
ACCELERATING
Measured or blended
Modeled estimate
No estimate
Trend
Adoption over time, by level
Points are published measurements. Lines between them, and after the last release, are the model's estimate.
Depth
How use thins out, by region
Everyday use, then paid and business use, then builders.
Speed
Rate of spread, last 12 months
Change per quarter. Everyday and business levels in percentage points, builders in index points.
Leaderboard
Leaders and movers
This week's read
What the numbers say about the speed of spread
Rate of spread
- Everyday use rose from 17.8% to 18.8% of working-age people between Q1 and Q2 2026 (Microsoft). The nowcast for this quarter is 20.3%.
- Business use grows about 1.2 points a quarter and the builder index about 1.3 points.
- The volume layer moves much faster: AI venture funding is up 127% on a year ago, ChatGPT weekly users up 50%, Google's monthly AI tokens 6.7 times, agent framework downloads 4.8 times.
Regions
- The gap is widening. Europe and North America add 1.4 to 1.6 points of everyday use a quarter, Sub-Saharan Africa 0.5.
- Everyday use leaders: United Arab Emirates (79%), Singapore (67%), France and Ireland (54%). Fastest climbers this year: UAE and South Korea, about 12 points each.
- China is the largest open question. Microsoft's telemetry measured 17.5% in Q2 2026; China's CNNIC counts 43% of the population as users and Gallup 62% using AI weekly. The map uses Microsoft's figure and shows the others in China's panel.
Levels of technology
- In most countries the share of people using AI is higher than the share of firms. Business use leads where formal firms adopt fast: Denmark, South Korea, Finland, India and Saudi Arabia.
- Builders cluster where developers are dense: Singapore, Hong Kong, Estonia and Israel lead the builder index.
- The deepest layer grows fastest from a small base: agent framework downloads reached 123 million in 28 days, 4.8 times the level a year earlier.
Analysis by Emergy AI Ops
What it means, what to watch, and the trends that matter
What it means
- AI is a daily habit for a third to half of working-age people in Europe, North America and the Gulf, and still a minority habit worldwide at about one in five.
- Companies are moving from personal experiments to company processes. In Denmark, South Korea, Finland, India and Saudi Arabia the share of firms using AI is already higher than the share of people.
- Capacity is being built far ahead of adoption. Funding, data center spending and token volume grow several times faster than the number of users, which keeps pushing prices down and tools up.
- For most businesses, customers and staff already use AI on their own. The open gain is inside the business: workflows, systems and trained teams.
What to watch
- Alphabet, Microsoft and Amazon report the week of 26 October (Amazon on 29 October). Their 2027 spending plans are the clearest signal of whether the build-out keeps accelerating.
- OpenAI's reported round at a $1.25T pre-money valuation and Anthropic's possible IPO set the pace for funding across the sector.
- Microsoft's next diffusion report, expected around December or January, plans a wider measure that could move China's figure a lot.
- Eurostat's 2026 business figures, usually released in December or January, will show how far firm adoption moved in the first year of agents.
Trends to highlight
- Builders are the fastest growing layer: agent framework downloads rose 4.8 times in a year, and 26% of developers already use AI agents (Stack Overflow 2026).
- Paid use is scaling: Microsoft 365 Copilot paid seats doubled from 15 million to 30 million between January and July 2026.
- AI is reshaping hiring: 7.3% of US job ads mention AI, about double the share a year ago.
- Public and private money diverge this week: the AI stock basket fell 6.1%, while AI took 64% of all venture funding last quarter.
Work with Emergy AI Ops
The map shows where AI is spreading. Let's make it work inside your business.
Emergy AI Ops is Or Emergy's practice: AI strategy, team training and working AI systems, built inside the business and handed over. If this data raised a question about your own operation, a 20 minute call is the quickest way to get an answer.
Questions
AI adoption in numbers
How many people use AI in 2026?
About one in five working-age people worldwide. Microsoft's AI Diffusion Report measured 18.8% of people aged 15 to 64 using generative AI in Q2 2026, up from 17.8% in Q1. The atlas nowcast for the current quarter is 20.3%.
Which country uses AI the most?
The United Arab Emirates leads everyday use, at about 79% of working-age people, followed by Singapore (67%) and France and Ireland (54%). Denmark leads business use: 42% of firms with 10 or more employees used AI in 2025 (Eurostat), and the atlas nowcast is about 54%. Singapore, Hong Kong, Estonia and Israel lead the builder index.
What share of businesses use AI?
In the EU, 20% of enterprises with 10 or more employees used AI in 2025 (Eurostat). In the UK it was 38% of firms with 10 or more employees in September 2026 (ONS), and in the US 24.6% of all employer firms used AI in a two-week period in October 2026 (Census Bureau). The atlas estimates about 19% of firms worldwide.
How fast is AI adoption growing?
Everyday use grows about one percentage point a quarter worldwide, and faster in Europe, North America, the Gulf and South Korea. Business use grows about 1.2 points a quarter. Spending grows much faster: AI venture funding more than doubled in a year and ChatGPT weekly users grew 50% to 1.2 billion.
How does Israel compare?
Israel is among the leaders. About 41% of working-age people use AI (nowcast; Microsoft measured 38.7% in Q2 2026), about 39% of businesses with 10 or more employee jobs used AI in March 2026, and Israel ranks fourth in the world on the builder index.
How is the AI Adoption Atlas measured?
Each level has its own measure. Everyday use comes from Microsoft's telemetry-based diffusion report, business use from Eurostat and national statistics offices, and the builder index from GitHub developer density, coding use of Claude and the Stack Overflow survey. Countries without data are estimated from internet use, income and their region, and shown hatched. Every source is listed in the method table.
Who makes the AI Adoption Atlas?
Or Emergy and Emergy AI Ops, an external AI operating partner that builds AI systems inside businesses: strategy, team training and working automations. The atlas updates automatically every Saturday night. Questions about AI in your own business: book a 20 minute call at emergyaiops.com.
From the atlas to your business
How Emergy AI Ops helps
AI consultingWhere AI pays off in your operation, and in what order.
AI implementationWorking AI systems and automations, built inside the business.
Team trainingYour people using AI well in their daily work.
LecturesA practical AI talk for your team or event.
Field notesA weekly deep dive on one AI tool, with setup steps.
Data
AI adoption by country, full table
Every country with an estimate this week. Open to read; the same numbers are in data/atlas.json.
SHOW TABLE
Data
AI adoption by country, full table
Every country with an estimate this week. Open to read; the same numbers are in data/atlas.json.
| Country | Region | Everyday (% people) | Business (% firms) | Builders (index) | Index (index) | Basis |
|---|---|---|---|---|---|---|
| Singapore | Southeast Asia | 67.1% | 46.9% | 97.5 | 86.2 | measured |
| United Arab Emirates | Middle East & N. Africa | 78.5% | 31.1% | 80.4 | 78.9 | measured |
| South Korea | East Asia | 46.6% | 52.7% | 82.7 | 74.5 | measured |
| Hong Kong | East Asia | 57.0% | 32.4% | 97.5 | 73.9 | modeled |
| Luxembourg | Europe | 45.2% | 46.0% | 89.5 | 72.5 | blended |
| Netherlands | Europe | 47.1% | 45.7% | 84.6 | 71.8 | measured |
| Norway | Europe | 51.4% | 41.8% | 81.9 | 71.2 | measured |
| Macao | East Asia | 60.6% | 35.0% | 76.6 | 70.8 | modeled |
| Israel | Middle East & N. Africa | 41.1% | 45.0% | 87.8 | 69.4 | measured |
| Denmark | Europe | 35.4% | 53.8% | 78.8 | 68.2 | measured |
| Sweden | Europe | 40.4% | 47.3% | 80.3 | 67.9 | measured |
| Belgium | Europe | 43.7% | 46.9% | 74.5 | 67.6 | measured |
| United Kingdom | Europe | 47.4% | 40.0% | 76.3 | 66.6 | measured |
| Iceland | Europe | 43.1% | 35.3% | 90.7 | 66.4 | blended |
| Estonia | Europe | 40.6% | 37.0% | 89.1 | 65.5 | blended |
| Ireland | Europe | 53.9% | 29.6% | 79.2 | 65.5 | measured |
| New Zealand | Oceania | 47.3% | 33.7% | 82.6 | 65.3 | measured |
| Finland | Europe | 33.1% | 49.9% | 74.8 | 63.9 | measured |
| France | Europe | 53.9% | 29.0% | 73.0 | 63.4 | measured |
| Seychelles | Sub-Saharan Africa | 43.6% | 22.8% | 99.7 | 63.1 | modeled |
| Austria | Europe | 38.6% | 42.7% | 72.2 | 62.3 | measured |
| Spain | Europe | 47.8% | 29.7% | 77.6 | 62.0 | measured |
| Malta | Europe | 43.1% | 28.3% | 86.2 | 61.6 | blended |
| Guam | Oceania | 53.1% | 28.8% | 64.5 | 60.3 | modeled |
| Switzerland | Europe | 42.5% | 28.4% | 82.3 | 60.1 | measured |
| Aruba | Latin America | 51.1% | 28.6% | 65.3 | 59.4 | modeled |
| Qatar | Middle East & N. Africa | 47.4% | 30.0% | 68.9 | 59.4 | measured |
| Virgin Islands | Latin America | 53.9% | 28.7% | 59.8 | 59.2 | modeled |
| Germany | Europe | 35.3% | 37.8% | 72.7 | 58.4 | measured |
| Bahamas | Latin America | 51.7% | 28.7% | 60.0 | 58.2 | modeled |
| Brunei | Southeast Asia | 49.1% | 27.0% | 65.7 | 57.8 | modeled |
| Canada | North America | 41.0% | 22.9% | 83.9 | 57.1 | measured |
| Saudi Arabia | Middle East & N. Africa | 35.4% | 41.6% | 61.3 | 56.9 | measured |
| Australia | Oceania | 43.8% | 19.3% | 84.1 | 56.8 | measured |
| Barbados | Latin America | 48.8% | 25.1% | 66.0 | 56.8 | modeled |
| Taiwan | East Asia | 37.6% | 25.7% | 82.3 | 56.3 | measured |
| Colombia | Latin America | 28.7% | 44.3% | 65.0 | 56.0 | measured |
| Lithuania | Europe | 27.2% | 35.3% | 81.8 | 55.8 | measured |
| United States | North America | 36.4% | 24.6% | 82.4 | 55.2 | measured |
| Slovenia | Europe | 32.9% | 30.1% | 77.1 | 54.6 | measured |
| Curaçao | Latin America | 46.4% | 23.4% | 63.4 | 53.9 | modeled |
| Latvia | Europe | 37.2% | 19.2% | 85.5 | 53.9 | blended |
| Czechia | Europe | 33.8% | 27.9% | 72.8 | 52.7 | measured |
| New Caledonia | Oceania | 48.8% | 25.8% | 50.2 | 52.4 | modeled |
| Cyprus | Europe | 40.1% | 13.3% | 83.3 | 51.7 | blended |
| Maldives | South Asia | 40.0% | 20.7% | 70.0 | 51.4 | modeled |
| French Polynesia | Oceania | 46.1% | 23.4% | 54.8 | 51.2 | modeled |
| Italy | Europe | 34.3% | 26.6% | 63.0 | 49.4 | measured |
| Slovakia | Europe | 29.7% | 27.5% | 69.1 | 49.3 | measured |
| Puerto Rico | Latin America | 33.0% | 26.5% | 63.0 | 48.6 | blended |
| Costa Rica | Latin America | 32.0% | 21.8% | 71.7 | 48.4 | measured |
| Montenegro | Europe | 40.3% | 13.9% | 71.0 | 48.4 | modeled |
| Japan | East Asia | 28.9% | 26.7% | 67.9 | 48.2 | measured |
| Uruguay | Latin America | 28.2% | 23.0% | 74.2 | 47.9 | measured |
| Bahrain | Middle East & N. Africa | 31.8% | 22.2% | 69.4 | 47.8 | blended |
| Croatia | Europe | 30.0% | 21.4% | 73.5 | 47.8 | measured |
| Saint Lucia | Latin America | 41.3% | 20.3% | 56.6 | 47.8 | modeled |
| Mauritius | Sub-Saharan Africa | 33.2% | 19.1% | 71.0 | 47.5 | blended |
| Grenada | Latin America | 38.8% | 19.1% | 58.5 | 46.5 | modeled |
| Portugal | Europe | 30.0% | 14.6% | 80.5 | 46.4 | measured |
| Chile | Latin America | 26.3% | 20.9% | 72.3 | 45.3 | measured |
| Hungary | Europe | 36.0% | 16.5% | 63.1 | 45.2 | measured |
| Poland | Europe | 35.3% | 12.6% | 69.7 | 44.9 | measured |
| Bulgaria | Europe | 33.4% | 13.0% | 70.6 | 44.4 | measured |
| Serbia | Europe | 28.2% | 18.2% | 70.7 | 44.4 | measured |
| Argentina | Latin America | 26.3% | 19.7% | 68.0 | 43.4 | measured |
| Brazil | Latin America | 22.6% | 23.8% | 65.5 | 42.9 | measured |
| North Macedonia | Europe | 27.1% | 18.1% | 67.4 | 42.8 | blended |
| Trinidad and Tobago | Latin America | 27.6% | 20.9% | 61.9 | 42.8 | blended |
| Georgia | Eurasia | 23.8% | 17.1% | 74.1 | 42.7 | measured |
| Panama | Latin America | 26.2% | 20.8% | 61.1 | 41.8 | measured |
| Belize | Latin America | 33.0% | 16.7% | 56.3 | 41.7 | modeled |
| Oman | Middle East & N. Africa | 30.2% | 19.4% | 54.3 | 41.1 | measured |
| Kuwait | Middle East & N. Africa | 25.1% | 21.8% | 58.1 | 40.9 | measured |
| Moldova | Europe | 20.4% | 16.2% | 74.9 | 40.8 | measured |
| Jordan | Middle East & N. Africa | 34.2% | 13.5% | 55.9 | 40.6 | measured |
| Malaysia | Southeast Asia | 24.8% | 19.1% | 61.6 | 40.4 | measured |
| Vietnam | Southeast Asia | 31.3% | 14.8% | 57.5 | 40.3 | measured |
| Lebanon | Middle East & N. Africa | 29.2% | 12.3% | 62.4 | 39.5 | measured |
| Dominican Republic | Latin America | 27.7% | 18.3% | 54.0 | 39.2 | measured |
| India | South Asia | 20.7% | 28.1% | 46.8 | 38.4 | measured |
| Bosnia and Herzegovina | Europe | 25.8% | 15.6% | 57.4 | 37.9 | measured |
| Greece | Europe | 23.5% | 13.4% | 64.4 | 37.8 | measured |
| Mongolia | East Asia | 20.7% | 15.5% | 64.8 | 37.5 | measured |
| Jamaica | Latin America | 26.4% | 16.6% | 52.4 | 37.2 | measured |
| Mexico | Latin America | 23.8% | 18.9% | 50.6 | 36.5 | measured |
| Peru | Latin America | 19.3% | 16.8% | 61.2 | 36.4 | measured |
| Fiji | Oceania | 31.4% | 15.7% | 42.3 | 36.2 | modeled |
| Cabo Verde | Sub-Saharan Africa | 29.6% | 15.0% | 45.6 | 36.0 | modeled |
| Kazakhstan | Eurasia | 19.1% | 19.1% | 55.7 | 35.8 | measured |
| South Africa | Sub-Saharan Africa | 26.3% | 15.4% | 48.5 | 35.4 | measured |
| Albania | Europe | 21.0% | 9.2% | 67.0 | 35.2 | measured |
| El Salvador | Latin America | 22.9% | 14.4% | 54.7 | 35.1 | measured |
| Belarus | Eurasia | 11.7% | 16.8% | 69.2 | 35.0 | measured |
| Ecuador | Latin America | 22.0% | 15.4% | 54.3 | 35.0 | measured |
| Bhutan | South Asia | 24.7% | 14.0% | 51.2 | 34.7 | modeled |
| Tunisia | Middle East & N. Africa | 14.7% | 11.5% | 69.6 | 34.0 | measured |
| Tonga | Oceania | 31.7% | 15.5% | 33.7 | 33.7 | modeled |
| Philippines | Southeast Asia | 22.5% | 13.1% | 52.8 | 33.6 | measured |
| Romania | Europe | 19.4% | 8.8% | 65.1 | 33.6 | measured |
| Azerbaijan | Eurasia | 21.0% | 15.9% | 50.3 | 33.5 | measured |
| Thailand | Southeast Asia | 15.7% | 15.9% | 57.3 | 33.0 | measured |
| Armenia | Eurasia | 8.5% | 15.9% | 66.8 | 32.2 | measured |
| Turkiye | Middle East & N. Africa | 21.8% | 9.0% | 54.4 | 31.7 | measured |
| China | East Asia | 18.6% | 18.7% | 41.5 | 31.1 | measured |
| Guyana | Latin America | 12.9% | 22.8% | 44.2 | 31.1 | blended |
| Russia | Eurasia | 11.1% | 19.4% | 52.2 | 30.9 | measured |
| Ukraine | Europe | 9.7% | 14.0% | 63.4 | 30.9 | measured |
| Morocco | Middle East & N. Africa | 12.8% | 11.7% | 59.6 | 30.1 | measured |
| Bolivia | Latin America | 14.5% | 13.7% | 52.3 | 29.8 | measured |
| Guatemala | Latin America | 19.2% | 14.5% | 41.4 | 29.3 | measured |
| Indonesia | Southeast Asia | 16.4% | 13.6% | 47.8 | 29.3 | measured |
| Botswana | Sub-Saharan Africa | 16.1% | 15.0% | 44.9 | 29.0 | measured |
| Paraguay | Latin America | 13.9% | 14.9% | 48.8 | 29.0 | measured |
| Eswatini | Sub-Saharan Africa | 26.2% | 13.2% | 30.1 | 28.7 | modeled |
| Samoa | Oceania | 29.2% | 13.9% | 22.2 | 28.2 | modeled |
| Algeria | Middle East & N. Africa | 15.1% | 12.5% | 47.6 | 28.1 | measured |
| Micronesia | Oceania | 28.3% | 13.1% | 24.7 | 28.1 | modeled |
| Sri Lanka | South Asia | 9.7% | 12.8% | 56.0 | 28.1 | blended |
| Suriname | Latin America | 12.9% | 15.0% | 45.4 | 27.6 | blended |
| Egypt | Middle East & N. Africa | 17.1% | 10.3% | 46.0 | 27.5 | measured |
| Libya | Middle East & N. Africa | 16.9% | 12.9% | 40.3 | 27.0 | measured |
| Nepal | South Asia | 15.8% | 9.2% | 48.2 | 27.0 | measured |
| Djibouti | Sub-Saharan Africa | 25.4% | 13.0% | 25.2 | 26.8 | modeled |
| Namibia | Sub-Saharan Africa | 16.6% | 13.3% | 37.6 | 26.2 | measured |
| Sao Tome and Principe | Sub-Saharan Africa | 26.4% | 13.1% | 19.9 | 25.7 | modeled |
| Gabon | Sub-Saharan Africa | 17.5% | 15.6% | 30.0 | 25.6 | measured |
| Venezuela | Latin America | 12.9% | 12.1% | 42.9 | 25.4 | blended |
| Vanuatu | Oceania | 28.1% | 12.4% | 16.7 | 25.3 | modeled |
| Kyrgyzstan | Eurasia | 11.3% | 11.8% | 44.9 | 25.0 | measured |
| Honduras | Latin America | 15.6% | 12.0% | 37.1 | 24.9 | measured |
| Nicaragua | Latin America | 13.8% | 11.5% | 39.0 | 24.4 | measured |
| Iraq | Middle East & N. Africa | 14.4% | 12.1% | 36.4 | 24.2 | measured |
| Equatorial Guinea | Sub-Saharan Africa | 32.1% | 15.5% | 0.5 | 23.9 | modeled |
| Pakistan | South Asia | 13.0% | 9.3% | 42.2 | 23.8 | measured |
| Iran | Middle East & N. Africa | 14.5% | 11.1% | 36.4 | 23.7 | measured |
| Ghana | Sub-Saharan Africa | 11.8% | 11.7% | 39.6 | 23.6 | blended |
| Senegal | Sub-Saharan Africa | 15.4% | 10.1% | 33.3 | 22.7 | measured |
| Kenya | Sub-Saharan Africa | 10.0% | 10.0% | 41.9 | 22.6 | blended |
| Uzbekistan | Eurasia | 9.1% | 12.6% | 39.1 | 22.6 | blended |
| North Korea | East Asia | 19.8% | 10.0% | 22.9 | 21.8 | modeled |
| Cambodia | Southeast Asia | 6.9% | 11.0% | 42.0 | 21.5 | measured |
| Kiribati | Oceania | 17.9% | 11.5% | 22.6 | 21.5 | modeled |
| Cote d'Ivoire | Sub-Saharan Africa | 15.2% | 11.1% | 26.8 | 21.2 | measured |
| Nigeria | Sub-Saharan Africa | 11.1% | 8.4% | 36.1 | 20.6 | blended |
| Cameroon | Sub-Saharan Africa | 10.8% | 9.7% | 33.4 | 20.3 | blended |
| Benin | Sub-Saharan Africa | 11.8% | 9.1% | 32.6 | 20.2 | blended |
| Togo | Sub-Saharan Africa | 11.0% | 8.6% | 27.9 | 18.2 | blended |
| Zimbabwe | Sub-Saharan Africa | 9.7% | 10.8% | 26.4 | 18.2 | blended |
| Bangladesh | South Asia | 7.8% | 10.4% | 29.2 | 17.9 | blended |
| Laos | Southeast Asia | 9.7% | 10.4% | 25.7 | 17.8 | measured |
| Cuba | Latin America | 7.4% | 15.6% | 20.7 | 17.7 | measured |
| Rwanda | Sub-Saharan Africa | 8.4% | 7.9% | 30.3 | 17.2 | blended |
| Congo | Sub-Saharan Africa | 10.2% | 10.4% | 22.0 | 16.9 | blended |
| Zambia | Sub-Saharan Africa | 14.1% | 8.3% | 17.8 | 16.5 | measured |
| Lesotho | Sub-Saharan Africa | 10.5% | 8.2% | 22.6 | 16.1 | measured |
| Mauritania | Sub-Saharan Africa | 11.3% | 10.0% | 15.1 | 15.2 | blended |
| Solomon Islands | Oceania | 20.1% | 10.0% | 0.5 | 15.2 | modeled |
| Myanmar | Southeast Asia | 11.4% | 8.9% | 16.4 | 15.1 | blended |
| Comoros | Sub-Saharan Africa | 19.7% | 10.0% | 0.5 | 15.0 | modeled |
| Gambia | Sub-Saharan Africa | 12.0% | 7.8% | 13.9 | 14.1 | measured |
| Timor-Leste | Southeast Asia | 14.4% | 8.6% | 8.0 | 13.9 | modeled |
| Somalia | Sub-Saharan Africa | 8.8% | 6.7% | 19.5 | 13.6 | blended |
| Haiti | Latin America | 9.1% | 10.5% | 11.9 | 13.4 | blended |
| Angola | Sub-Saharan Africa | 11.3% | 11.0% | 4.9 | 12.6 | blended |
| Madagascar | Sub-Saharan Africa | 11.2% | 6.5% | 11.4 | 12.3 | blended |
| Uganda | Sub-Saharan Africa | 7.9% | 7.8% | 14.0 | 12.1 | blended |
| Burkina Faso | Sub-Saharan Africa | 10.4% | 8.0% | 9.1 | 11.9 | blended |
| Yemen | Middle East & N. Africa | 6.5% | 5.6% | 19.3 | 11.8 | modeled |
| Guinea | Sub-Saharan Africa | 11.3% | 9.4% | 0.5 | 10.5 | blended |
| Syria | Middle East & N. Africa | 7.8% | 6.7% | 10.1 | 10.3 | measured |
| Tajikistan | Eurasia | 6.9% | 9.1% | 6.9 | 10.1 | blended |
| Turkmenistan | Eurasia | 6.9% | 12.9% | 0.5 | 10.1 | blended |
| Liberia | Sub-Saharan Africa | 11.3% | 7.6% | 1.8 | 10.0 | blended |
| Malawi | Sub-Saharan Africa | 12.7% | 6.8% | 0.5 | 9.9 | blended |
| Mali | Sub-Saharan Africa | 11.3% | 8.2% | 0.5 | 9.9 | blended |
| Guinea-Bissau | Sub-Saharan Africa | 11.3% | 8.0% | 0.5 | 9.8 | blended |
| Mozambique | Sub-Saharan Africa | 11.2% | 6.6% | 2.0 | 9.5 | blended |
| Sierra Leone | Sub-Saharan Africa | 11.3% | 7.3% | 0.5 | 9.5 | blended |
| Niger | Sub-Saharan Africa | 11.3% | 7.0% | 0.5 | 9.3 | blended |
| Papua New Guinea | Oceania | 7.8% | 10.3% | 0.5 | 9.2 | blended |
| Chad | Sub-Saharan Africa | 10.2% | 7.5% | 0.5 | 9.0 | blended |
| DR Congo | Sub-Saharan Africa | 10.2% | 7.1% | 0.5 | 8.8 | blended |
| Tanzania | Sub-Saharan Africa | 7.8% | 8.3% | 2.3 | 8.7 | blended |
| Central African Republic | Sub-Saharan Africa | 10.2% | 6.3% | 0.5 | 8.4 | blended |
| Ethiopia | Sub-Saharan Africa | 8.8% | 7.4% | 0.5 | 8.3 | blended |
| South Sudan | Sub-Saharan Africa | 8.8% | 7.5% | 0.5 | 8.3 | blended |
| Sudan | Middle East & N. Africa | 8.8% | 6.8% | 0.5 | 8.0 | blended |
| Eritrea | Sub-Saharan Africa | 8.8% | 6.7% | 0.5 | 7.9 | blended |
| Burundi | Sub-Saharan Africa | 8.8% | 4.8% | 0.5 | 7.0 | blended |
| Afghanistan | South Asia | 6.9% | 5.7% | 0.5 | 6.5 | blended |
Method
Sources, and how the model learns each week
| Source | Level | Latest | Cadence | Feed | Weight |
|---|---|---|---|---|---|
| Microsoft AI Diffusion Report Share of people aged 15 to 64 using generative AI, from Microsoft telemetry adjusted for device share and internet use. Some African values are group estimates. | Everyday | Q2 2026 | Quarterly since 2026 | research | 1.00 |
| Anthropic Economic Index Claude usage per working-age person relative to the world (1.0 = proportional). Calibrated to Microsoft's share. | Everyday | May 2026 | About every 3 months | auto | 0.36 |
| Gallup World Poll Share of adults 15+ using AI weekly or more, 37 countries. | Everyday | Apr to Jul 2026 | Yearly | research | |
| DataReportal / GWI survey Share of online adults 16+ using AI tools each month (online panel, 53 countries). | Everyday | Q2 2026 | Quarterly | research | |
| CNNIC (China) Share of China's population that has used generative AI products. | Everyday | Dec 2025 | Twice a year | research | |
| VCIOM (Russia) Share of Russian internet users 18+ who used AI in the last 12 months. | Everyday | Jun 2026 | Twice a year | research | |
| Eurostat enterprise AI use Share of enterprises with 10+ employees using at least one AI technology. EU, EEA and candidate countries. | Business | 2025 | Yearly | auto | 1.00 |
| OECD ICT usage in businesses Same definition as Eurostat for non-EU OECD members. Older years are rolled forward with the region's growth. | Business | 2020 to 2024 | Yearly | auto | 0.80 |
| UK ONS BICS UK businesses with 10+ employees using AI (ONS BICS). | Business | Sep 2026 | Quarterly | research | 0.80 |
| US Census BTOS US employer firms using AI to produce goods or services in the last two weeks. All firm sizes, so lower than a 10+ count. | Business | Oct 2026 | Every two weeks | research | 0.80 |
| Statistics Canada Canadian businesses using AI to produce goods or deliver services in the last 12 months. | Business | Q2 2026 | Yearly | research | 0.80 |
| ABS Australian businesses of all sizes using AI. | Business | 2024-25 | Yearly | research | 0.80 |
| Israel CBS Israeli businesses with 10+ employee jobs using AI (2026 value from a secondary report). | Business | Mar 2026 | Yearly | research | 0.80 |
| Korea via OECD Korean enterprises using AI (national informatization survey via OECD). | Business | 2024 | Yearly | research | 0.80 |
| CETIC.br Brazilian enterprises with 10+ persons using AI. | Business | 2025 | Yearly | research | 0.80 |
| IMDA Singapore Singapore enterprises with 10+ employees using AI. | Business | 2025 | Yearly | research | 0.80 |
| GASTAT Saudi Arabia Saudi establishments using AI (size cut-off not stated). | Business | 2025 | Yearly | research | 0.80 |
| World Bank WBES Indian formal firms with 5+ employees in manufacturing and services using AI. | Business | 2025-26 | Yearly | research | 0.80 |
| Ramp AI Index US businesses on Ramp paying for AI tools: 55.9% (Sep 2026). Shown for context: tech-forward firms only. | Business | Sep 2026 | research | ||
| GitHub Innovation Graph Developer accounts per 1,000 people (log scale, 1 to 200 per 1,000 maps to 0 to 100). | Builders | Q1 2026 | auto | 0.45 | |
| PyPI downloads by country (ClickPy) Agent framework downloads (LangGraph, CrewAI, OpenAI Agents, Claude Agent SDK, Pydantic AI, smolagents, AutoGen). Shown as a growth signal: country counts are distorted by data centers. | Builders | Sep to Oct 2026 | auto | ||
| Anthropic Economic Index, coding share Claude usage per person times the share of conversations in computer and math work: coding use per person. | Builders | May 2026 | auto | 0.40 | |
| Stack Overflow Developer Survey Share of developers using AI agents or automated workflows (37 countries with enough answers). | Builders | 2026 survey | research | 0.15 |
Source weights this week