AI & jobs · Country profile
Netherlands
39%
of jobs are in occupations exposed to generative AI. That's about 3.9M people.
MODEL7th of 183 most exposed
World 21%High income 35%
Key numbers
Workers in exposed jobsMODEL
3.9M
of 10.1M in work
Highest-exposure jobsMODEL
6.4%
646K people
People in workILO
10.1M
47% women
UnemploymentWORLD BANK
3.9%
2025
Youth unemploymentWORLD BANK
8.8%
ages 15–24
GDP per capitaWORLD BANK
$73,684
US$, 2025
Internet usersWORLD BANK
97%
of population
AI preparednessIMF
0.77
4th of 165
PopulationWORLD BANK
18.1M
Tertiary enrolmentWORLD BANK
87%
gross ratio
Vulnerable employmentWORLD BANK
13%
own-account & family workers
Urban populationWORLD BANK
96%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Women are +7.7 pts more exposed, mostly because they hold more clerical and administrative jobs.
How it compares
MODELAI preparedness
IMFNetherlandsHigh income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.77 (0–1 scale).
Exposure vs preparedness
Netherlands 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 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
- 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