Global AI Atlas / Adoption & society

Where AI is used.
What follows from it.

Explore adoption, attention and economic evidence across countries. Every number keeps its source, its period and its limits.

Reference editionAugust 20262026-08.r2 · Partial coverage
Evidence checked 2026-09-07

This is the 2026-08 edition, checked 2026-09-07. The data retains its actual observation period. Quarterly estimates and annual surveys do not become measurements of the edition month.

Enterprise AI · survey

Enterprises with 10+ persons employed; Eurostat NACE C10–S951 excluding K scope. 2025 survey.

33 / 219 economies with eligible evidence · Eurostat enterprise survey · 2026-08.r2

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Select a country to inspect its evidence. Shading shows a percentage, not country size.
010%1020%2030%3040%4060%60100%Not measured / excluded

Fixed scale · 1.0.0. Zero is a measured value. Hatched areas are missing evidence.

Country evidence / Ireland

The measures behind the headline.

Country context & opportunities →
MeasureValueActual periodSource / definition
AI diffusion · provider estimate48.4%Q1 2026
Generative AI · survey44.93%2025 survey
Social networks · survey79.89%2025 survey
Generative AI for work · survey22.44%2025 survey
Enterprise AI · survey19.64%2025 survey
Enterprise AI · 2023–2024 basket14.9%2024 survey
Foreground attention per online personNot measuredNot measuredCountry attention data needs a licensed panel or consenting measurement partner. No eligible feed is connected.
Verified net economic benefitNot measuredNot measuredNo national net-benefit series is established. Study findings below retain their task and participant scope.
Separate populations and methods. These rows cannot be added or treated as equivalent adoption rates.
Native-period history for Enterprise AI · survey

Explore historical data & compare countries →

Source periodValueEvidence
2025 survey19.64%
These are the source’s native periods, including any half-years and quarters. No monthly growth is inferred.

Comparable evidence

Countries in the same measurement lane.

2025 survey · Eurostat enterprise survey. Ranked only among covered economies.

EconomyEnterprise AI · surveyEvidenceCompare
42.03%
37.82%
35.04%
34.54%
33.61%
33.21%
29.95%
28.89%
25.97%
23.4%
Top eligible rows in the current region/search. Same metric, measurement profile and source period. 2026-08.r2.

Economic evidence / native study periods

What happens when people use AI?

Different tasks, different results. These studies are outside the country ranking.

Randomized field experiment

Consulting tasks and the limits of assistance

Over 25% faster on tasks within GPT-4’s capability

758 BCG consultants completing realistic knowledge-work tasks. The reported speed gain applies to the tasks within the tested model’s capabilities.

Working paper reported 21 September 2023 · journal publication March 2026

Performance depended on the task; assistance could worsen results beyond the model’s capabilities. This is historical, task-specific evidence, not a national productivity estimate or a claim about today’s models.

Read the study ↗ · 2026 publication ↗
Randomized controlled study

Experienced developers, familiar repositories

AI-allowed tasks took 19% longer

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 publication ↗
Observational study of staggered adoption

Customer support in one organization

15% more issues resolved per hour

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.r2

What changed

Historical backfill retrieved 7 September 2026: 6,588 published World Bank indicator values across 217 economies for available 2023–2025 annual waves, plus 67 enterprise AI survey records from 2023–2024 in a separate seven-category measure. The history view compares native periods and adds the September 2023 BCG consulting experiment, with its March 2026 journal publication. The original 2026-08.r1 snapshot remains unchanged.

Why it may matter

The three-year window is September 2023–August 2026. Complete annual waves overlapping this window retain their original full year. Source definitions, attribution, retrieval dates and fingerprints accompany the history. These are current source vintages of historical observations, not reconstructed atlas scores or what was known at each past date.

What remains uncertain

Coverage differs by indicator and country. Water-stress observations in this window are not published in the connected feed; 2026 annual waves are incomplete and excluded. Microsoft country AI diffusion starts in H1 2025; no 2023–2024 values are inferred. The expanded 2025 enterprise AI basket is separate from 2023–2024, and no cross-basket growth rate is calculated. Comparable country attention and realized net economic benefit remain unavailable.

Take the evidence with you.

Downloads preserve the active region/search, metric, source, period and release. Missing values stay empty.

Complete frozen edition →License notice →

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.

Adoption & Society | Global AI Atlas | humAIne