humAIne intelligence · Global AI Atlas
Reading the atlas: the context map is a directional model. Adoption estimates and surveys are shown separately in each country profile, with their actual dates. Judgement stays human.
Country context, AI adoption and social impact in one atlas. Explore the conditions for useful AI alongside evidence about how people and organisations use it.
Search a country for its opportunities, adoption estimates and social-use surveys. Compare like-for-like measures, inspect the original sources and explore economic studies. Each measure keeps its own population and observation period.
Quarterly from 1 October 2026: 1 January, 1 April, 1 July and 1 October at 08:00 Europe/Zurich.
Selected
Angola
AI conditions: 43 · Thin conditions
Vulnerable work
66%
Unemployment
14%
Inflation
20%
Countries first
Search and select below. The map is secondary on small screens.
AI conditions
Access, skills, public capacity and resource room
Directional model. Country comparison guides questions; it does not replace local diagnosis.
| Indicator | Value | Year |
|---|---|---|
| AI conditions | 43 | Thin conditions |
| Vulnerable work | 66% | 2025 |
| Unemployment | 14% | 2025 |
| Inflation | 20% | 2025 |
| Internet use | 41% | 2024 |
| Electricity access | 56% | 2024 |
| Secondary completion | 42% | 2023 |
| Life expectancy | 64.8 years | 2024 |
| Population 65+ | 2.9% | 2025 |
| Water stress | 1.9% | 2022 |
| Public capacity | 36 / 100 | 2024 |
Vulnerable work
66%
Observation 2025
Unemployment
14%
Observation 2025
Inflation
20%
Observation 2025
Internet use
41%
Observation 2024
Electricity access
56%
Observation 2024
The FII survey covers 60,000 people in 32 countries, not every country on this map. Regional worry patterns therefore act as a starting lens. Country indicators adjust the analysis and every panel shows where evidence is thin. One human remains responsible for judgement; this is a research tool under Intelligence, not a firm mandate.
Global AI Atlas / Evidence edition 2026-08.r1
Country context checked 2026-09-01. Adoption and social evidence checked 2026-09-06. Source observation dates remain attached to every value. The source registries have different coverage; evidence-only economies are available in Adoption & society.
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 ↗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.
Seven regional questions
The regional layer comes from the worry patterns in the FII Priority Compass and is refined with country indicators. It frames inquiry, not a playbook. Every country still needs local evidence and public participation — and judgement stays with a named human.
Method and limits
The atlas is a decision aid for asking better questions. It does not forecast national outcomes, replace local diagnosis, or recommend automated decisions about people.
FII Priority Compass 2025 establishes the public concern pattern. Its 32-country sample supports regional context, not direct claims about every country.
Fourteen World Bank series add labour, prices, access, health, education, demographics, water and public-capacity signals. Each panel keeps the observation year.
Human pressure combines measured constraints. Deployment conditions combine access, skills, public capacity and resource room. The bridge lens joins the two.
UNESCO principles guide the guardrails: proportionality, privacy, auditability, transparency, human responsibility and routes to challenge decisions.
Human pressure
Available signals include vulnerable work, unemployment, inflation, internet and electricity gaps, life expectancy, secondary completion, water stress and government effectiveness. Current FCV classifications add a conflict and fragility signal.
Deployment conditions
Access averages internet and electricity. Skills use lower-secondary completion. Public capacity uses the revised World Bank score. Resource room uses GDP per person at purchasing-power parity on a log scale.
Bridge gap
The bridge lens weights human pressure at 62% and the inverse of deployment conditions at 38%. Missing observations are omitted or replaced by a stated fallback. Bands reduce false precision.
Evidence base · Checked 2026-09-01
Indicator years vary because international series update on different schedules. Use the country panel year before drawing a conclusion.
Responsible AI starts with the public outcome, local evidence and a named human who remains accountable.
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