Regional worry lens
FII Priority Compass 2025 establishes the public concern pattern. Its 32-country sample supports regional context, not direct claims about every country.
Selected Switzerland. Map lens AI conditions, value 95, Stronger conditions.
humAIne intelligence · Global AI Atlas
What should this country ask
before it trusts AI with real lives?
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
Switzerland
AI conditions: 95 · Stronger conditions
Vulnerable work
9.6%
Unemployment
4.9%
Inflation
0.1%
Countries first
Search and select below. The map is secondary on small screens.
AI conditions
Access, skills, public capacity and resource room
LowerHigher
Directional model. Country comparison guides questions; it does not replace local diagnosis.
| Indicator | Value | Year |
|---|---|---|
| AI conditions | 95 | Stronger conditions |
| Vulnerable work | 9.6% | 2025 |
| Unemployment | 4.9% | 2025 |
| Inflation | 0.1% | 2025 |
| Internet use | 97% | 2025 |
| Electricity access | 100% | 2024 |
| Secondary completion | 96% | 2024 |
| Life expectancy | 84.4 years | 2024 |
| Population 65+ | 20% | 2025 |
| Water stress | 6.5% | 2022 |
| Public capacity | 87 / 100 | 2024 |
Vulnerable work
9.6%
Observation 2025
Unemployment
4.9%
Observation 2025
Inflation
0.1%
Observation 2025
Internet use
97%
Observation 2025
Electricity access
100%
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.
217Country context profiles
14Comparable indicators
—Adoption & social profiles
4×Reviews per year
Global AI Atlas / Evidence edition loading
Country context checked 2026-09-01. Loading the adoption and social evidence edition…
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
A shared technology.
Different 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
Evidence first.
Judgement stays human.
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.
Country evidence
Fourteen World Bank series add labour, prices, access, health, education, demographics, water and public-capacity signals. Each panel keeps the observation year.
Directional model
Human pressure combines measured constraints. Deployment conditions combine access, skills, public capacity and resource room. The bridge lens joins the two.
Rights boundary
UNESCO principles guide the guardrails: proportionality, privacy, auditability, transparency, human responsibility and routes to challenge decisions.
See the model formula and coverage limits
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
Open sources.
Visible limits.
Indicator years vary because international series update on different schedules. Use the country panel year before drawing a conclusion.
01FII Priority Compass 2025Global and regional public worries, 60,000 respondents across 32 countries02World Bank Data APICountry metadata and the 14 indicator series used in the model03World Bank AI Foundations 2025Connectivity, compute, context and competency as foundations for AI participation04ITU Facts and Figures 2025Connectivity, affordability, quality and digital-skills divides05ILO World Employment and Social OutlookLabour-market, youth-employment and job-quality context06UNDP Human Development Report 2025People, agency and choices in the age of AI07UNESCO Recommendation on AI EthicsHuman rights, oversight, transparency, privacy and accountability08World Bank FY2027 FCV classificationsCurrent conflict exposure and institutional fragility lists09SVG World MapCountry geometry, CC BY 4.0, based on MapSVG
Responsible AI starts with the public outcome, local evidence and a named human who remains accountable.
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