AI & jobs · Province in Netherlands

Friesland

Province NL-FR Largest city: Leeuwarden
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

ANTHROPIC

Claude.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

MODEL

Estimated share of jobs by sector, against the national mix.

Friesland Netherlands
Health & care 18.5%
Retail & wholesale 15.5%
Business services 12.0%
Manufacturing 8.7%
Education 8.5%
Public admin 7.3%
Hospitality 5.2%
Transport & logistics 5.2%
Construction 5.1%
Other services 4.9%
ICT & software 3.2%
Agriculture 2.4%
Finance 2.2%
Utilities 1.1%
Mining 0.2%

Exposed workers by sector

MODEL

Ranking in Netherlands

MODEL

By 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

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