Global AI Atlas / Adoption & society
Explore adoption, attention and economic evidence across countries. Every number keeps its source, its period and its limits.
This is the 2026-08 edition, checked 2026-09-06. The data retains its actual observation period. Quarterly estimates and annual surveys do not become measurements of the edition month.
Working-age population, including people offline. Q1 2026.
147 / 219 economies with eligible evidence · Microsoft AI diffusion · 2026-08.r1
Loading map… Country search and table are ready.
Fixed scale · 1.0.0. Zero is a measured value. Hatched areas are missing evidence.
Country evidence / Luxembourg
| Measure | Value | Actual period | Source / definition |
|---|---|---|---|
| AI diffusion · provider estimate | Not measured | Not measured | No verified, publicly reusable country observation in this edition. |
| Generative AI · survey | 42.54% | 2025 survey | |
| Social networks · survey | 67.32% | 2025 survey | |
| Generative AI for work · survey | 24.87% | 2025 survey | |
| Enterprise AI · survey | 33.61% | 2025 survey | |
| Foreground attention per online person | Not measured | Not measured | Country attention data needs a licensed panel or consenting measurement partner. No eligible feed is connected. |
| Verified net economic benefit | Not measured | Not measured | No national net-benefit series is established. Study findings below retain their task and participant scope. |
| Source period | Value | Evidence |
|---|
Comparable evidence
Q1 2026 · Microsoft AI diffusion. Ranked only among covered economies.
| Economy | AI diffusion · provider estimate | Evidence | Compare |
|---|---|---|---|
Economic evidence / native study periods
Different tasks, different results. These studies are outside the country ranking.
16 experienced open-source developers; 246 issues in repositories they knew.
Early 2025 experiment · published July 2025
This setting does not represent all developers or current tools. METR’s February 2026 follow-up identifies selection effects and redesigns the study; do not extrapolate this effect to countries.
Read the study ↗ · 2026 follow-up ↗5,172 customer-support agents in the authors’ updated paper.
Study published 2025 · earlier company rollout
Effects vary by experience and skill. A company-specific productivity result is not measured national output or realized net savings.
Read the study ↗This edition / 2026-08.r1
First edition: openly licensed country AI estimates, official AI and social-use surveys, and scoped productivity studies. Later editions record additions and revisions here.
Adoption describes reach. Attention requires compatible time measurement. Economic benefit requires evidence about completed work and all-in costs.
No comparable monthly country attention, platform audience or realized net-benefit feed is connected. Country coverage and survey populations differ across sources.
Downloads preserve the active region/search, metric, source, period and release. Missing values stay empty.
Quarterly review: 1 January, 1 April, 1 July and 1 October at 08:00 Europe/Zurich, starting 1 October 2026. New editions retain native observation dates; a review does not imply new data from every source.
Countries and economies follow source reporting conventions; boundaries and listings imply no position on sovereignty. Missing polygons remain accessible through country search and the table. AI estimates, surveys and studies are separate evidence. No universal impact score is calculated.
Eurostat data selected and reformatted by humAIne with attribution. Microsoft data © 2026 Microsoft, reused under the MIT License. Interpretation is humAIne’s responsibility.
