AI & jobs · Province in Netherlands
Friesland
38%
of jobs here are estimated to be exposed to generative AI, below the national 39% (−0.8 pts).
MODEL7th of 15 regions150K exposed workers
Key numbers
PopulationWIKIDATA
650K
as of 2020
Share of national populationWIKIDATA
3.9%
8th largest of 15
People in workMODEL
392K
national total × population share
Highest-exposure jobsMODEL
6.2%
national 6.4%
Area
3,909 km²
166 people per km²
Settlement patternMODEL
Rural
19% live in major cities
Largest city
Leeuwarden
126K (metro)
Mapped towns & cities
1
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
0.33×
usage share ÷ population share
Share of national useANTHROPIC
1.3%
3.9% of population
Work-relatedANTHROPIC
45%
national 43%
Automation-styleANTHROPIC
44%
national 46%
Augmentation 56%Automation 44%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Friesland
Netherlands
Exposed workers by sector
MODELRanking in Netherlands
MODELBy modelled AI exposure, out of 15 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Netherlands'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 Netherlands
- South Holland 40% exposed
- North Holland 40% exposed
- North Brabant 39% exposed
- Gelderland 38% exposed
- Utrecht 40% exposed
- Overijssel 38% exposed
- Limburg 38% exposed
- Groningen 39% exposed
- Drenthe 38% exposed
- Flevoland 36% exposed
- Zeeland 38% exposed
- Bonaire 36% exposed
- Sint Eustatius 36% exposed
- Saba 36% exposed