AI & jobs · City in Serbia
Belgrade
34%
of jobs here are estimated to be exposed to generative AI, above the national 29% (+5.1 pts).
MODEL1st of 25 regions194K exposed workers
Key numbers
PopulationWIKIDATA
1.2M
as of 2022
Share of national populationWIKIDATA
18.3%
1st largest of 25
People in workMODEL
576K
national total × population share
Highest-exposure jobsMODEL
6.5%
national 5.3%
Area
3,351 km²
357 people per km²
Settlement patternMODEL
Highly urban
92% live in major cities
Largest city
Belgrade
1.1M (metro)
Mapped towns & cities
1
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
2.45×
usage share ÷ population share
Share of national useANTHROPIC
44.8%
18.3% of population
Work-relatedANTHROPIC
49%
national 47%
Automation-styleANTHROPIC
46%
national 46%
Augmentation 54%Automation 46%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Belgrade
Serbia
Exposed workers by sector
MODELRanking in Serbia
MODELBy modelled AI exposure, out of 25 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Serbia'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 Serbia
- South Bačka 31% exposed
- Pomoravski 27% exposed
- Nišava 31% exposed
- Raška 26% exposed
- South Banat 26% exposed
- Srem 26% exposed
- Šumadija 31% exposed
- Mačva 26% exposed
- Zlatibor 25% exposed
- Rasina 26% exposed
- Pčinja 25% exposed
- Moravica 31% exposed
- Jablanica 26% exposed
- Podunavlje 26% exposed
- North Bačka 31% exposed
- Central Banat 30% exposed
- Braničevo 25% exposed
- Kolubara 26% exposed
- West Bačka 26% exposed
- North Banat 25% exposed
- Bor 24% exposed
- Zaječar 24% exposed
- Toplica 25% exposed
- Pirot 24% exposed