AI & jobs · Country profile
Serbia
29%
of jobs are in occupations exposed to generative AI. That's about 900K people.
MODEL62nd of 183 most exposed
World 21%Upper-middle income 21%
Key numbers
Workers in exposed jobsMODEL
900K
of 3.2M in work
Highest-exposure jobsMODEL
5.3%
168K people
People in workILO
3.2M
47% women
UnemploymentWORLD BANK
7.1%
2025
Youth unemploymentWORLD BANK
20.9%
ages 15–24
GDP per capitaWORLD BANK
$15,262
US$, 2025
Internet usersWORLD BANK
88%
of population
AI preparednessIMF
0.54
51st of 165
PopulationWORLD BANK
6.5M
Tertiary enrolmentWORLD BANK
71%
gross ratio
Vulnerable employmentWORLD BANK
24%
own-account & family workers
Urban populationWORLD BANK
63%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Women are +10.2 pts more exposed, mostly because they hold more clerical and administrative jobs.
How it compares
MODELAI preparedness
IMFSerbiaUpper-middle income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.54 (0–1 scale).
Exposure vs preparedness
Serbia 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 Serbia
- Belgrade 34% exposed
- 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