AI & jobs · Urban county in Hungary
Érd
31%
of jobs here are estimated to be exposed to generative AI, below the national 32% (−0.5 pts).
MODEL21st of 43 regions9,374 exposed workers
Key numbers
PopulationWIKIDATA
71.6K
as of 2026
Share of national populationWIKIDATA
0.6%
30th largest of 43
People in workMODEL
29.8K
national total × population share
Highest-exposure jobsMODEL
5.6%
national 5.7%
Area
111 km²
645 people per km²
Settlement patternMODEL
Mixed
0% live in major cities
Mapped towns & cities
0
Natural Earth places
AI use
The Anthropic Economic Index does not publish usage for this region. Regions below a minimum number of sampled conversations are left out.
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Érd
Hungary
Exposed workers by sector
MODELRanking in Hungary
MODELBy modelled AI exposure, out of 43 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Hungary'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 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
- Szolnok 34% exposed