Data for 2025
AI User Share of the Working-Age Population, 2025
Figures for 2025, as Microsoft AI Economy Institute published them · stored as published, never rewritten
AI User Share of the Working-Age Population, 2025 covers 146 countries. United Arab Emirates is highest, at 64.0; Cambodia is lowest, at 5.1. The middle country reads 13.6.
AI User Share of the Working-Age Population · Data for 2025
HighestUnited Arab Emirates
64.0LowestCambodia
5.1Shaded by value in five groups of equal size, darkest at the better end. A higher value is the better result.
01Values only
The table
Every country and every column of AI User Share of the Working-Age Population, 2025, as published. The file carries values only, so no position is shown. “=” marks a shared position.
Showing 25 of 146 countries · select a heading to sort
| 64.0 | H2 2025 | Own estimate | |
| 60.9 | H2 2025 | Own estimate | |
| 46.4 | H2 2025 | Own estimate | |
| 44.6 | H2 2025 | Own estimate | |
| 44.0 | H2 2025 | Own estimate | |
| 41.8 | H2 2025 | Own estimate | |
| 40.5 | H2 2025 | Own estimate | |
| 38.9 | H2 2025 | Own estimate | |
| 38.9 | H2 2025 | Own estimate | |
| 38.3 | H2 2025 | Own estimate | |
| 36.9 | H2 2025 | Own estimate | |
| 36.1 | H2 2025 | Own estimate | |
| 36.0 | H2 2025 | Own estimate | |
| 35.0 | H2 2025 | Own estimate | |
| 34.8 | H2 2025 | Own estimate | |
| 33.3 | H2 2025 | Own estimate | |
| 31.4 | H2 2025 | Own estimate | |
| 30.7 | H2 2025 | Own estimate | |
| 29.8 | H2 2025 | Own estimate | |
| 28.7 | H2 2025 | Own estimate | |
| 28.6 | H2 2025 | Own estimate | |
| 28.5 | H2 2025 | Own estimate | |
| 28.4 | H2 2025 | Own estimate | |
| 28.3 | H2 2025 | Own estimate | |
| 27.8 | H2 2025 | Own estimate | |
| 27.8 | H2 2025 | Own estimate | |
| 27.3 | H2 2025 | Own estimate | |
| 27.3 | H2 2025 | Own estimate | |
| 27.0 | H2 2025 | Own estimate | |
| 26.5 | H2 2025 | Own estimate | |
| 26.5 | H2 2025 | Own estimate | |
| 26.2 | H2 2025 | Own estimate | |
| 25.7 | H2 2025 | Own estimate | |
| 24.2 | H2 2025 | Own estimate | |
| 24.2 | H2 2025 | Own estimate | |
| 23.8 | H2 2025 | Own estimate | |
| 23.7 | H2 2025 | Own estimate | |
| 23.5 | H2 2025 | Own estimate | |
| 22.7 | H2 2025 | Own estimate | |
| 22.5 | H2 2025 | Own estimate | |
| 22.4 | H2 2025 | Own estimate | |
| 22.1 | H2 2025 | Own estimate | |
| 22.0 | H2 2025 | Own estimate | |
| 21.5 | H2 2025 | Own estimate | |
| 21.5 | H2 2025 | Own estimate | |
| 21.1 | H2 2025 | Own estimate | |
| 20.8 | H2 2025 | Own estimate | |
| 19.7 | H2 2025 | Own estimate | |
| 19.6 | H2 2025 | Own estimate | |
| 19.5 | H2 2025 | Own estimate | |
| 19.1 | H2 2025 | Own estimate | |
| 19.1 | H2 2025 | Own estimate | |
| 19.1 | H2 2025 | Own estimate | |
| 18.3 | H2 2025 | Own estimate | |
| 18.2 | H2 2025 | Own estimate | |
| 17.8 | H2 2025 | Own estimate | |
| 17.7 | H2 2025 | Own estimate | |
| 17.1 | H2 2025 | Own estimate | |
| 17.0 | H2 2025 | Own estimate | |
| 16.5 | H2 2025 | Own estimate | |
| 16.3 | H2 2025 | Own estimate | |
| 16.2 | H2 2025 | Own estimate | |
| 16.2 | H2 2025 | Own estimate | |
| 15.7 | H2 2025 | Own estimate | |
| 15.5 | H2 2025 | Own estimate | |
| 14.8 | H2 2025 | Own estimate | |
| 14.7 | H2 2025 | Own estimate | |
| 14.6 | H2 2025 | Own estimate | |
| 14.3 | H2 2025 | Own estimate | |
| 13.8 | H2 2025 | Own estimate | |
| 13.7 | H2 2025 | Own estimate | |
| 13.7 | H2 2025 | Own estimate | |
| 13.7 | H2 2025 | Own estimate | |
| 13.4 | H2 2025 | Own estimate | |
| 13.4 | H2 2025 | Own estimate | |
| 13.1 | H2 2025 | Own estimate | |
| 13.0 | H2 2025 | Own estimate | |
| 12.9 | H2 2025 | Own estimate | |
| 12.7 | H2 2025 | Own estimate | |
| 12.7 | H2 2025 | Own estimate | |
| 12.3 | H2 2025 | Own estimate | |
| 12.0 | H2 2025 | Own estimate | |
| 11.7 | H2 2025 | Own estimate | |
| 11.6 | H2 2025 | Own estimate | |
| 11.2 | H2 2025 | Own estimate | |
| 11.0 | H2 2025 | Own estimate | |
| 10.9 | H2 2025 | Own estimate | |
| 10.9 | H2 2025 | Own estimate | |
| 10.7 | H2 2025 | Own estimate | |
| 10.7 | H2 2025 | Own estimate | |
| 10.7 | H2 2025 | Own estimate | |
| 10.3 | H2 2025 | Own estimate | |
| 9.7 | H2 2025 | Regional estimate (pool: Angola, Madagascar, Malawi, Mozambique) | |
| 9.7 | H2 2025 | Regional estimate (pool: Angola, Madagascar, Malawi, Mozambique) | |
| 9.7 | H2 2025 | Regional estimate (pool: Angola, Madagascar, Malawi, Mozambique) | |
| 9.7 | H2 2025 | Regional estimate (pool: Angola, Madagascar, Malawi, Mozambique) | |
| 9.3 | H2 2025 | Regional estimate (pool: Benin, Burkina Faso, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Mauritania, Niger, Nigeria, Sierra Leone, Togo) | |
| 9.3 | H2 2025 | Regional estimate (pool: Benin, Burkina Faso, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Mauritania, Niger, Nigeria, Sierra Leone, Togo) | |
| 9.3 | H2 2025 | Regional estimate (pool: Benin, Burkina Faso, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Mauritania, Niger, Nigeria, Sierra Leone, Togo) | |
| 9.3 | H2 2025 | Regional estimate (pool: Benin, Burkina Faso, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Mauritania, Niger, Nigeria, Sierra Leone, Togo) | |
| 9.3 | H2 2025 | Regional estimate (pool: Benin, Burkina Faso, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Mauritania, Niger, Nigeria, Sierra Leone, Togo) | |
| 9.3 | H2 2025 | Regional estimate (pool: Benin, Burkina Faso, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Mauritania, Niger, Nigeria, Sierra Leone, Togo) | |
| 9.3 | H2 2025 | Regional estimate (pool: Benin, Burkina Faso, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Mauritania, Niger, Nigeria, Sierra Leone, Togo) | |
| 9.3 | H2 2025 | Regional estimate (pool: Benin, Burkina Faso, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Mauritania, Niger, Nigeria, Sierra Leone, Togo) | |
| 9.3 | H2 2025 | Regional estimate (pool: Benin, Burkina Faso, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Mauritania, Niger, Nigeria, Sierra Leone, Togo) | |
| 9.3 | H2 2025 | Regional estimate (pool: Benin, Burkina Faso, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Mauritania, Niger, Nigeria, Sierra Leone, Togo) | |
| 9.3 | H2 2025 | Regional estimate (pool: Benin, Burkina Faso, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Mauritania, Niger, Nigeria, Sierra Leone, Togo) | |
| 9.3 | H2 2025 | Regional estimate (pool: Benin, Burkina Faso, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Mauritania, Niger, Nigeria, Sierra Leone, Togo) | |
| 9.1 | H2 2025 | Own estimate | |
| 9.1 | H2 2025 | Own estimate | |
| 9.0 | H2 2025 | Regional estimate (pool: French Guiana, Guyana, Suriname, Venezuela) | |
| 9.0 | H2 2025 | Regional estimate (pool: French Guiana, Guyana, Suriname, Venezuela) | |
| 9.0 | H2 2025 | Own estimate | |
| 9.0 | H2 2025 | Regional estimate (pool: French Guiana, Guyana, Suriname, Venezuela) | |
| 8.4 | H2 2025 | Own estimate | |
| 8.2 | H2 2025 | Own estimate | |
| 8.1 | H2 2025 | Own estimate | |
| 8.0 | H2 2025 | Own estimate | |
| 7.8 | H2 2025 | Regional estimate (pool: Cameroon, Central African Republic, Chad, Congo, Congo (DRC)) | |
| 7.8 | H2 2025 | Regional estimate (pool: Cameroon, Central African Republic, Chad, Congo, Congo (DRC)) | |
| 7.8 | H2 2025 | Regional estimate (pool: Cameroon, Central African Republic, Chad, Congo, Congo (DRC)) | |
| 7.8 | H2 2025 | Regional estimate (pool: Cameroon, Central African Republic, Chad, Congo, Congo (DRC)) | |
| 7.8 | H2 2025 | Regional estimate (pool: Cameroon, Central African Republic, Chad, Congo, Congo (DRC)) | |
| 7.6 | H2 2025 | Own estimate | |
| 7.6 | H2 2025 | Own estimate | |
| 7.3 | H2 2025 | Own estimate | |
| 7.1 | H2 2025 | Own estimate | |
| 7.1 | H2 2025 | Own estimate | |
| 6.8 | H2 2025 | Regional estimate (East Africa) | |
| 6.8 | H2 2025 | Regional estimate (East Africa) | |
| 6.8 | H2 2025 | Regional estimate (East Africa) | |
| 6.8 | H2 2025 | Regional estimate (East Africa) | |
| 6.8 | H2 2025 | Regional estimate (East Africa) | |
| 6.8 | H2 2025 | Regional estimate (East Africa) | |
| 6.8 | H2 2025 | Regional estimate (East Africa) | |
| 6.8 | H2 2025 | Regional estimate (East Africa) | |
| 6.7 | H2 2025 | Own estimate | |
| 6.6 | H2 2025 | Own estimate | |
| 6.6 | H2 2025 | Own estimate | |
| 6.3 | H2 2025 | Own estimate | |
| 6.3 | H2 2025 | Own estimate | |
| 6.1 | H2 2025 | Own estimate | |
| 5.6 | H2 2025 | Regional estimate (pool: Afghanistan, Tajikistan, Turkmenistan) | |
| 5.6 | H2 2025 | Regional estimate (pool: Afghanistan, Tajikistan, Turkmenistan) | |
| 5.6 | H2 2025 | Regional estimate (pool: Afghanistan, Tajikistan, Turkmenistan) | |
| 5.1 | H2 2025 | Own estimate |
02In 2025
At either end
The 5 countries at each end of the headline.
Highest
United Arab Emirates64.0
Singapore60.9
Norway46.4
Ireland44.6
France44.0
Lowest
Cambodia5.1
Turkmenistanshared5.6
Tajikistanshared5.6
Afghanistanshared5.6
Cuba6.1
A higher value is the better result. The middle country reads 13.6. “Shared” marks a value another country also holds.
03Caveats
Read before you use
What this edition’s numbers are and are not, worked out from the file itself.
95 distinct values among 146
Values are stored exactly as published, to 1 decimal. 12 countries share 9.3. Countries sharing a value share a position too.
Which end is better
A higher value is the better result.
Nothing missing
Every one of the 146 countries has every column.
04The files
Download and cite
The table as a file, digit for digit, what this site changed, and a citation for this edition.
- .csv
For a spreadsheet or code
146 rows · 9.7 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download ai-user-share-2025-nations-inquiry.csv - ↗
The publisher’s original
Microsoft AI Economy Institute’s own file, on its own site.
AI_Diffusion_Q22026_Update.csv
What this site changed: Reshaped into one row per country: regional and income-group totals are left out, only the columns listed are kept, each row gets its ISO 3166 code, and some country names are brought to one spelling. No value is recalculated, rescaled or rounded.
Licence: MIT License. The publisher’s own written permission to reuse, commercial use included. Read the terms before republishing.
Cite this edition
Microsoft AI Economy Institute (2025). AI User Share of the Working-Age Population, 2025 [data set], describing 2025. As held by Nations Inquiry, https://nationsinquiry.com/datasets/ai-user-share/2025
052 held
Other years
‹ The year before
This is the first year held here.
The year after ›
AI User Share of the Working-Age Population, 2026146 countries
All of them
AI User Share of the Working-Age Population: every year2 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
06Questions
AI User Share of the Working-Age Population, 2025: questions and answers
Which country has the highest AI users in AI User Share of the Working-Age Population, 2025?
United Arab Emirates, at 64.0, of the 146 countries in the file.
What year does AI User Share of the Working-Age Population, 2025 describe?
2025.
How many countries does AI User Share of the Working-Age Population, 2025 cover?
146.
Where can I download AI User Share of the Working-Age Population, 2025?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is AI User Share of the Working-Age Population, 2025 the newest?
No. The newest held here is AI User Share of the Working-Age Population, 2026.