AI Job Atlas
AI & jobs · District in Serbia

Mačva

District RS-08
26%
of jobs here are estimated to be exposed to generative AI, below the national 29% (−2.7 pts).
MODEL11th of 25 regions33.1K exposed workers

Key numbers

PopulationWIKIDATA
265K
as of 2022
Share of national populationWIKIDATA
4.1%
9th largest of 25
People in workMODEL
128K
national total × population share
Highest-exposure jobsMODEL
4.7%
national 5.3%
Area
3,214 km²
83 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

MODEL

Estimated share of jobs by sector, against the national mix.

Mačva Serbia
Agriculture 25.6%
Manufacturing 17.8%
Retail & wholesale 11.7%
Education 6.3%
Construction 5.5%
Health & care 5.3%
Transport & logistics 5.0%
Business services 4.6%
Public admin 4.2%
Other services 3.8%
Hospitality 3.3%
Utilities 2.4%
ICT & software 2.3%
Mining 1.3%
Finance 1.0%

Exposed workers by sector

MODEL
Retail & wholesale 5,190 Manufacturing 4,743 Education 3,852 Health & care 2,935 Public admin 2,671 Agriculture 2,656 Business services 2,481 Transport & logistics 1,617

Ranking in Serbia

MODEL

By modelled AI exposure, out of 25 regions.

8Pomoravski 27% 9Podunavlje 26% 10Srem 26% 11Mačva 26% 12Raška 26% 13Rasina 26% 14South Banat 26%
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

All of Serbia →