AI & jobs · Canton in Switzerland
Obwalden
39%
of jobs here are estimated to be exposed to generative AI, below the national 40% (−0.5 pts).
MODEL13th of 26 regions8,327 exposed workers
Key numbers
PopulationWIKIDATA
39.3K
as of 2024
Share of national populationWIKIDATA
0.4%
24th largest of 26
People in workMODEL
21.2K
national total × population share
Highest-exposure jobsMODEL
7.8%
national 7.9%
Area
482 km²
81 people per km²
Settlement patternMODEL
Mixed
24% live in major cities
Largest city
Sarnen
9,410 (metro)
Mapped towns & cities
1
Natural Earth places
AI use
The Anthropic Economic Index does not publish usage for this region. Regions below a minimum number of sampled conversations are left out.
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Obwalden
Switzerland
Exposed workers by sector
MODELRanking in Switzerland
MODELBy modelled AI exposure, out of 26 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Switzerland's real ILO sector employment across regions using population (Wikidata) and density: denser, capital-city regions get more finance, ICT and professional jobs, and rural regions more farming. Totals match national figures. AI usage figures are measured, not modelled. Methodology
Other 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
- Uri 39% exposed
- Appenzell Innerrhoden 40% exposed