AI & jobs · Special self-governing city in Republic of Korea
Sejong
30%
of jobs here are estimated to be exposed to generative AI, below the national 35% (−5.3 pts).
MODEL17th of 17 regions66.6K exposed workers
Key numbers
PopulationWIKIDATA
392K
as of 2025
Share of national populationWIKIDATA
0.8%
17th largest of 17
People in workMODEL
221K
national total × population share
Highest-exposure jobsMODEL
6.3%
national 7.7%
Area
418 km²
938 people per km²
Settlement patternMODEL
Very rural
0% live in major cities
Mapped towns & cities
0
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
0.79×
usage share ÷ population share
Share of national useANTHROPIC
0.6%
0.8% of population
Work-relatedANTHROPIC
56%
national 49%
Automation-styleANTHROPIC
42%
national 44%
Augmentation 58%Automation 42%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Sejong
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
- Ulsan 36% exposed
- Jeju 35% exposed