AI & jobs · Province in Netherlands
Limburg
38%
of jobs here are estimated to be exposed to generative AI, below the national 39% (−0.7 pts).
MODEL6th of 15 regions259K exposed workers
Key numbers
PopulationWIKIDATA
1.1M
as of 2013
Share of national populationWIKIDATA
6.7%
7th largest of 15
People in workMODEL
676K
national total × population share
Highest-exposure jobsMODEL
6.2%
national 6.4%
Area
2,087 km²
537 people per km²
Settlement patternMODEL
Rural
11% live in major cities
Largest city
Maastricht
122K (metro)
Mapped towns & cities
1
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
0.52×
usage share ÷ population share
Share of national useANTHROPIC
3.5%
6.7% of population
Work-relatedANTHROPIC
39%
national 43%
Automation-styleANTHROPIC
43%
national 46%
Augmentation 57%Automation 43%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Limburg
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
- Friesland 38% exposed
- Groningen 39% exposed
- Drenthe 38% exposed
- Flevoland 36% exposed
- Zeeland 38% exposed
- Bonaire 36% exposed
- Sint Eustatius 36% exposed
- Saba 36% exposed