AI & jobs · Metropolitan City in Republic of Korea
Ulsan
36%
of jobs here are estimated to be exposed to generative AI, above the national 35% (+0.7 pts).
MODEL7th of 17 regions230K exposed workers
Key numbers
PopulationWIKIDATA
1.1M
as of 2024
Share of national populationWIKIDATA
2.2%
15th largest of 17
People in workMODEL
636K
national total × population share
Highest-exposure jobsMODEL
7.9%
national 7.7%
Area
1,036 km²
1,088 people per km²
Settlement patternMODEL
Urban
94% live in major cities
Largest city
Ulsan
1.1M (metro)
Mapped towns & cities
1
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
0.27×
usage share ÷ population share
Share of national useANTHROPIC
0.6%
2.2% of population
Work-relatedANTHROPIC
40%
national 49%
Automation-styleANTHROPIC
44%
national 44%
Augmentation 57%Automation 44%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Ulsan
Republic of Korea
Exposed workers by sector
MODELRanking in Republic of Korea
MODELBy modelled AI exposure, out of 17 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Republic of Korea'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 Republic of Korea
- Gyeonggi 35% exposed
- Seoul 38% exposed
- Busan 37% exposed
- South Gyeongsang 34% exposed
- Incheon 36% exposed
- North Gyeongsang 34% exposed
- Daegu 37% exposed
- South Chungcheong 30% exposed
- South Jeolla 34% exposed
- North Jeolla 35% exposed
- North Chungcheong 35% exposed
- Gangwon 34% exposed
- Daejeon 36% exposed
- Gwangju 37% exposed
- Jeju 35% exposed
- Sejong 30% exposed