AI & jobs · Commune|Municipality in Slovenia
Juršinci
31%
of jobs here are estimated to be exposed to generative AI, below the national 32% (−0.9 pts).
MODEL110th of 193 regions356 exposed workers
Key numbers
PopulationWIKIDATA
2,397
as of 2020
Share of national populationWIKIDATA
0.1%
151st largest of 193
People in workMODEL
1,135
national total × population share
Highest-exposure jobsMODEL
5.4%
national 5.6%
Area
36 km²
67 people per km²
Settlement patternMODEL
Rural
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.
Juršinci
Slovenia
Exposed workers by sector
MODELRanking in Slovenia
MODELBy modelled AI exposure, out of 193 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Slovenia'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 Slovenia
- Ljubljana 35% exposed
- Krsko 33% exposed
- Maribor 34% exposed
- Koper 32% exposed
- Celje 32% exposed
- Kranj 32% exposed
- Novo Mesto 31% exposed
- Domžale 32% exposed
- Velenje 32% exposed
- Kamnik 31% exposed
- Krško 31% exposed
- Brežice 31% exposed
- Škofja Loka 32% exposed
- Žalec 32% exposed
- Jesenice 32% exposed
- Grosuplje 32% exposed
- Ajdovščina 31% exposed
- Šentjur 31% exposed
- Radovljica 32% exposed
- Murska Sobota 32% exposed
- Ptuj 32% exposed
- Sevnica 31% exposed
- Vrhnika 31% exposed
- Ivančna Gorica 31% exposed
- Medvode 32% exposed
- Slovenj Gradec 31% exposed
- Postojna 31% exposed
- Zagorje ob Savi 31% exposed
- Trbovlje 32% exposed
- Kočevje 31% exposed