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Tier C South Korea · 2025

AI Job Risk in South Korea - Which Occupations Are Most at Risk?

The short answer: Clerical support workers score 8.5/10 - the highest AI exposure in South Korea.

Which jobs are most at risk from AI in South Korea? Clerical support workers leads at 8.5/10. Workforce average: 4.8/10. Data covers 28.8M workers. Free. Official government data.

Total Workforce
28.8M
workers tracked
Avg AI Exposure
4.8/10
workforce-weighted
Most Exposed
Clerical support workers
8.5/10
Safest Occupation
Elementary occupations
2.0/10
Informal Employment
29.1%
of workforce (ILO)

All Occupations Ranked by AI Exposure

9 ISCO-08 occupation groups · data year 2025 · Tier C ILO employment data with gender breakdown and time-series 2010-2025

ISCO Occupation Group AI Exposure Robotics Risk WFH Potential Employment
4 Clerical support workers 8.5/10 2.5/10 8.5/10 3.6M
2 Professionals 6.5/10 1.5/10 7.5/10 6.6M
1 Managers 5.5/10 1.5/10 7.0/10 415K
3 Technicians and associate professionals 5.5/10 3.5/10 4.5/10 5.2M
5 Service and sales workers 3.5/10 4.5/10 1.5/10 2.5M
6 Skilled agricultural, forestry and fishery workers 3.0/10 6.5/10 1.0/10 1.4M
8 Plant and machine operators and assemblers 3.0/10 7.5/10 1.0/10 2.9M
7 Craft and related trades workers 2.5/10 4.5/10 1.0/10 2.2M
9 Elementary occupations 2.0/10 5.5/10 0.5/10 3.9M

AI/robotics/WFH scores are research-based estimates (Frey-Osborne, OECD, IMF 2024), not official statistics. Hover occupation name for rationale. Employment from: ILO ILOSTAT (CC BY 4.0), OECD Average Annual Wages (USD PPP, 2024).

AI Disruption Context

World Bank indicators showing when disruption will arrive and how resilient the workforce is.

Risk Velocity
9.8/10
Disruption imminent (1-3 years)
Recovery Resilience
6.6/10
Medium resilience - partial safety net
Sovereign Buffer
6.8/10
Moderate buffer - limited retraining capacity
Demographic Alignment
Labor shortage solver
Aging workforce means automation fills critical gaps

Source: World Bank Open Data (CC BY 4.0) - IT.NET.BBND.P2, IT.NET.SECR.P6, HD_HCIP_OTJL_TO, SP social protection indicators.

Workforce Composition Trend

Employment share by occupation group, 2010-2025 - ILO ILOSTAT (CC BY 4.0). Lines show share of total employment; color indicates AI exposure level.

0%10%20% 201020122014201620182020202220242025 +4.0pp-3.6pp Professionals (23.1%)Technicians (17.9%)Elementary (13.6%)Clerical (12.5%)Operators (10.2%)Service & Sales (8.7%)Trades (7.8%)Agriculture (4.7%)Managers (1.4%)
High AI exposure (7+) Medium (5-7) Low (<5)

Source: ILO ILOSTAT Employment by sex and occupation (ISCO-08), CC BY 4.0. Share = group employment / total employment. Highlighted lines show largest gainer and loser.

Economy at a Glance

World Bank Open Data (CC BY 4.0) - most recent available year per indicator.

GDP per capita$36,227 (2025)
Population51.7M (2025)
Labour force participation64.3% (female: 56.8%) (2025)
Unemployment rate2.7% (2025)
Poverty ($3/day)0.1% (2021)
Gini inequality index32.9 (2021)
Adult literacy rate98.0% (2008)
Life expectancy83.6 years (2024)

Frequently Asked Questions

Which job is most at risk from AI in South Korea?
Clerical support workers has the highest AI exposure score in South Korea at 8.5/10. This occupation involves routine information handling that current AI systems can perform effectively.
What is the average AI exposure score in South Korea?
The workforce-weighted average AI exposure score in South Korea is 4.8/10, covering 28.8M workers across 9 occupation groups. Each group is weighted by its share of total employment.
Which jobs are safest from AI in South Korea?
Elementary occupations has the lowest AI exposure score in South Korea at 2.0/10. These roles require physical presence or manual dexterity in unpredictable environments that current AI cannot automate at scale.
When will AI disruption arrive in South Korea?
Based on digital infrastructure readiness, South Korea scores 9.8/10 for AI Risk Velocity. Disruption imminent (1-3 years). This is derived from World Bank broadband and secure internet server data.
How well can South Korea's workforce adapt to AI disruption?
South Korea scores 6.6/10 for Workforce Recovery Capacity. Medium resilience - partial safety net. This combines the World Bank Human Capital Index on-the-job learning score and social protection coverage data.
Is automation good or bad for South Korea's workforce?
South Korea is classified as 'Labor shortage solver'. Aging workforce means automation fills critical gaps. This is based on World Bank old-age dependency ratio and fertility rate data.
Where does the South Korea workforce data come from?
The South Korea data comes from: ILO ILOSTAT (CC BY 4.0); OECD Average Annual Wages (USD PPP, 2024). All data is from official government or intergovernmental sources and is freely available at worldjobsdata.com.
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