AI & jobs · Country profile
Hungary
32%
of jobs are in occupations exposed to generative AI. That's about 1.5M people.
MODEL45th of 183 most exposed
World 21%High income 35%
Key numbers
Workers in exposed jobsMODEL
1.5M
of 4.8M in work
Highest-exposure jobsMODEL
5.7%
271K people
People in workILO
4.8M
47% women
UnemploymentWORLD BANK
4.5%
2025
Youth unemploymentWORLD BANK
14.2%
ages 15–24
GDP per capitaWORLD BANK
$25,907
US$, 2025
Internet usersWORLD BANK
94%
of population
AI preparednessIMF
0.56
45th of 165
PopulationWORLD BANK
9.5M
Tertiary enrolmentWORLD BANK
61%
gross ratio
Vulnerable employmentWORLD BANK
8%
own-account & family workers
Urban populationWORLD BANK
71%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Women are +15.1 pts more exposed, mostly because they hold more clerical and administrative jobs.
How it compares
MODELAI preparedness
IMFHungaryHigh income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.56 (0–1 scale).
Exposure vs preparedness
Hungary 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 Hungary
- Budapest 35% exposed
- Pest 32% exposed
- Borsod-Abaúj-Zemplén 31% exposed
- Szabolcs-Szatmár-Bereg 31% exposed
- Hajdú-Bihar 31% exposed
- Bács-Kiskun 31% exposed
- Győr-Moson-Sopron 31% exposed
- Fejér 31% exposed
- Csongrád-Csanád 31% exposed
- Jász-Nagykun-Szolnok 31% exposed
- Baranya 31% exposed
- Veszprem megye (HU-VE) 31% exposed
- Békés 31% exposed
- Komárom-Esztergom 31% exposed
- Somogy 31% exposed
- Heves 31% exposed
- Zala 31% exposed
- Vas 31% exposed
- Tolna 31% exposed
- Debrecen 34% exposed
- Nógrád 31% exposed
- Szeged 34% exposed
- Miskolc 34% exposed
- Pécs 34% exposed
- Győr 34% exposed
- Nyíregyháza 34% exposed
- Kecskemét 34% exposed
- Székesfehérvár 34% exposed
- Szombathely 34% exposed
- Érd 31% exposed
- Szolnok 34% exposed
- Tatabánya 34% exposed
- Sopron 31% exposed
- Kaposvár 34% exposed
- Veszprem megye (HU-VM) 34% exposed
- Zalaegerszeg 34% exposed
- Békéscsaba 34% exposed
- Eger 34% exposed
- Nagykanizsa 31% exposed
- Hódmezővásárhely 31% exposed
- Dunaújváros 31% exposed
- Salgótarján 34% exposed
- Szekszárd 34% exposed