AI & jobs · Capital Metropolitan City in Republic of Korea
Seoul
38%
of jobs here are estimated to be exposed to generative AI, above the national 35% (+2.2 pts).
MODEL1st of 17 regions2.1M exposed workers
Key numbers
PopulationWIKIDATA
9.7M
as of 2020
Share of national populationWIKIDATA
18.8%
2nd largest of 17
People in workMODEL
5.5M
national total × population share
Highest-exposure jobsMODEL
8.3%
national 7.7%
Area
578 km²
16.7K people per km²
Settlement patternMODEL
Highly urban
100% live in major cities
Largest city
Seoul
9.8M (metro)
Mapped towns & cities
1
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
3.39×
usage share ÷ population share
Share of national useANTHROPIC
63.6%
18.8% of population
Work-relatedANTHROPIC
49%
national 49%
Automation-styleANTHROPIC
43%
national 44%
Augmentation 57%Automation 43%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Seoul
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
- 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
- Ulsan 36% exposed
- Jeju 35% exposed
- Sejong 30% exposed