AI & jobs · Canton in Bosnia and Herzegovina
Livno
22%
of jobs here are estimated to be exposed to generative AI, below the national 25% (−3.3 pts).
MODEL16th of 18 regions13.7K exposed workers
Key numbers
PopulationMODEL
≈165K
estimated from area
Share of national populationMODEL
5.2%
8th largest of 18
People in workMODEL
62.5K
national total × population share
Highest-exposure jobsMODEL
3.4%
national 4.1%
Area
5,251 km²
Settlement patternMODEL
Rural
0% live in major cities
Mapped towns & cities
0
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
0.99×
usage share ÷ population share
Share of national useANTHROPIC
72.6%
5.2% of population
Work-relatedANTHROPIC
45%
national 45%
Automation-styleANTHROPIC
47%
national 49%
Augmentation 53%Automation 47%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Livno
Bosnia and Herzegovina
Exposed workers by sector
MODELRanking in Bosnia and Herzegovina
MODELBy modelled AI exposure, out of 18 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Bosnia and Herzegovina'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 Bosnia and Herzegovina
- Tuzla Canton 27% exposed
- Sarajevo Canton 29% exposed
- Zenica-Doboj Canton 27% exposed
- Banja Luka 27% exposed
- Una-Sana Canton 23% exposed
- Central Bosnia Canton 23% exposed
- Herzegovina-Neretva Canton 27% exposed
- Trebinje 22% exposed
- West Herzegovina Canton 23% exposed
- Foča 22% exposed
- Brčko 25% exposed
- Doboj 22% exposed
- Vlasenica 22% exposed
- Sarajevo-Romanija 22% exposed
- Posavina Canton 23% exposed
- Bijeljina 22% exposed
- Bosnian Podrinje Canton 22% exposed