AI & jobs · Country profile
Switzerland
40%
of jobs are in occupations exposed to generative AI. That's about 1.9M people.
MODEL5th of 183 most exposed
World 21%High income 35%
Key numbers
Workers in exposed jobsMODEL
1.9M
of 4.8M in work
Highest-exposure jobsMODEL
7.9%
382K people
People in workILO
4.8M
47% women
UnemploymentWORLD BANK
4.9%
2025
Youth unemploymentWORLD BANK
9.0%
ages 15–24
GDP per capitaWORLD BANK
$115K
US$, 2025
Internet usersWORLD BANK
97%
of population
AI preparednessIMF
0.76
7th of 165
PopulationWORLD BANK
9.1M
Tertiary enrolmentWORLD BANK
74%
gross ratio
Vulnerable employmentWORLD BANK
10%
own-account & family workers
Urban populationWORLD BANK
86%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Women are +10.3 pts more exposed, mostly because they hold more clerical and administrative jobs.
How it compares
MODELAI preparedness
IMFSwitzerlandHigh income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.76 (0–1 scale).
Exposure vs preparedness
Switzerland is highlighted. The other dots are all countries with both measures.
Sources: ILO modelled estimates 2025 · World Bank WDI · IMF AIPI · Anthropic Economic Index · Wikidata · Natural Earth. How the estimates are made.
Regions of Switzerland
- Zürich 41% exposed
- Bern 41% exposed
- Vaud 40% exposed
- Aargau 37% exposed
- St. Gallen 39% exposed
- Geneva 42% exposed
- Lucerne 41% exposed
- Valais 38% exposed
- Ticino 40% exposed
- Fribourg 39% exposed
- Basel-Landschaft 38% exposed
- Thurgau 39% exposed
- Solothurn 38% exposed
- Grisons 39% exposed
- Basel-Stadt 42% exposed
- Neuchâtel 39% exposed
- Schwyz 39% exposed
- Zug 40% exposed
- Schaffhausen 40% exposed
- Jura 39% exposed
- Appenzell Ausserrhoden 40% exposed
- Nidwalden 39% exposed
- Glarus 39% exposed
- Obwalden 39% exposed
- Uri 39% exposed
- Appenzell Innerrhoden 40% exposed