AI & jobs · Country profile
Poland
33%
of jobs are in occupations exposed to generative AI. That's about 6.1M people.
MODEL41st of 183 most exposed
World 21%High income 35%
Key numbers
Workers in exposed jobsMODEL
6.1M
of 18.5M in work
Highest-exposure jobsMODEL
5.7%
1M people
People in workILO
18.5M
46% women
UnemploymentWORLD BANK
3.0%
2025
Youth unemploymentWORLD BANK
10.7%
ages 15–24
GDP per capitaWORLD BANK
$28,420
US$, 2025
Internet usersWORLD BANK
89%
of population
AI preparednessIMF
0.60
37th of 165
PopulationWORLD BANK
36.4M
Tertiary enrolmentWORLD BANK
81%
gross ratio
Vulnerable employmentWORLD BANK
15%
own-account & family workers
Urban populationWORLD BANK
60%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Women are +14.1 pts more exposed, mostly because they hold more clerical and administrative jobs.
How it compares
MODELAI preparedness
IMFPolandHigh income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.60 (0–1 scale).
Exposure vs preparedness
Poland 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 Poland
- Masovian Voivodeship 34% exposed
- Silesian Voivodeship 36% exposed
- Greater Poland Voivodeship 31% exposed
- Lesser Poland Voivodeship 33% exposed
- Lower Silesian Voivodeship 32% exposed
- Łódź Voivodeship 33% exposed
- Pomeranian Voivodeship 34% exposed
- Lublin Voivodeship 31% exposed
- Podkarpackie Voivodeship 30% exposed
- Kuyavian-Pomeranian Voivodeship 33% exposed
- West Pomeranian Voivodeship 33% exposed
- Warmian-Masurian Voivodeship 32% exposed
- Świętokrzyskie Voivodeship 31% exposed
- Podlaskie Voivodeship 32% exposed
- Lubusz Voivodeship 29% exposed
- Opole Voivodeship 30% exposed