AI Job Risk in South Korea

Average generative-AI exposure of the workforce

0.305

ILO score (0–1). Rank 12 of 20 countries.

People in employment, 2025

29,054,000

ILO modelled estimate

What people in South Korea work as

Share of employment in each ISCO-08 major occupation group, and the group's average generative-AI exposure (ILO score, 0–1). The country figure above is the employment-weighted average of the exposure column.

Occupation group	Share of employment	Exposure (ILO, 0–1)
Professionals	22.5%	0.39
Skilled agricultural workers and elementary occupations	18.9%	0.15
Technicians and associate professionals	17.8%	0.35
Clerical support workers	12.4%	0.53
Plant and machine operators, and assemblers	10.3%	0.20
Service and sales workers	8.7%	0.26
Craft and related trades workers	7.8%	0.17
Managers	1.6%	0.36

Method: each country's employment by ISCO-08 major occupation group (ILOSTAT, ILO modelled estimates) multiplied by the average ILO exposure score of the occupations in that group (ILO Working Paper 140), then added up. The ILO publishes skilled agricultural workers and elementary occupations as one group and leaves out the armed forces. The figure uses the ILO's 0–1 scale, not the 0–100 occupation index used elsewhere on this site, and it treats an occupation as equally exposed in every country.

How to read this page in practice

The notes below explain how to read the country figure, what kind of occupation mix raises or lowers it, and what this comparison can and cannot tell you.

How to Read This Country

South Korea is best read by separating semiconductor and electronics manufacturing, where physical process control and yield management dominate, from the administrative and reporting layers inside the chaebol and their supplier networks. High broadband penetration and near-universal digital literacy mean AI tools spread through office work, translation, and customer service unusually fast. That speed does not carry over cleanly into fabrication plants and hardware engineering, where defect rates depend on specialized technicians, nor into the tutoring-heavy private education sector, where parental trust and exam outcomes still favor human instructors.

What drives the figure

Employment concentrates in semiconductor fabrication, electronics and automotive manufacturing, shipbuilding, and a services sector anchored by finance, telecom, and a large private education and tutoring industry (hagwon). AI pressure is strongest in administrative and clerical work inside large conglomerates, standardized financial processing, translation, and customer support. It is weaker in semiconductor fab operations, where process engineers and equipment technicians manage yield and contamination control, in shipbuilding and heavy industry requiring physical precision, and in the private tutoring sector, where results-driven parents still place a premium on human instruction ahead of national exams.

What Holds Up Better

What remains durable in South Korea is work tied to hardware reliability, physical process control, and reputation-sensitive service. Semiconductor process engineers, quality technicians in electronics and automotive plants, and skilled tradespeople in shipbuilding hold their value because equipment failures and yield problems carry outsized financial consequences that still require expert human diagnosis. Exam-focused private tutors and counselors also remain resilient given how central university entrance outcomes are to family life and social standing.

What This Page Does Not Claim

A single score glosses over the gap between Seoul's highly digitized corporate and service sectors and the industrial cities built around shipyards, fabs, and auto plants, where physical process work dominates. It also cannot capture how conglomerate hiring practices and strong internal labor protections slow the conversion of automation exposure into actual job loss. Read the score together with the split between office-based conglomerate work and hardware-dependent manufacturing roles.

Jobs Most At Risk from AI

This table is a current snapshot of the jobs that appear on the higher-risk side within this country profile. It is useful as a directional comparison, not as a permanent national ranking. Both lists only include jobs in the three occupation groups that employ the most people in South Korea, ordered by exposure index.

Rank	Job	Occupation group	Generative-AI exposure
1	Interpreter	Professionals	98
2	Translator	Professionals	98
3	Web Developer	Professionals	97
4	Technical Writer	Professionals	96
5	Programmer	Professionals	96
6	Content Writer	Professionals	95
7	Copywriter	Professionals	95
8	Data Analyst	Professionals	95
9	Data Scientist	Professionals	95
10	Software Tester	Professionals	95
11	Advertising Specialist	Professionals	94
12	Market Research Analyst	Professionals	94
13	Marketing Specialist	Professionals	94
14	SEO Specialist	Professionals	94
15	Social Media Manager	Professionals	94
16	IT Support Specialist	Technicians and associate professionals	94
17	Editor	Professionals	94
18	Sales Representative	Technicians and associate professionals	93
19	Journalist	Professionals	93
20	Database Administrator	Professionals	92

Jobs Safest from AI

This table shows the jobs that currently appear on the lower-risk side within this country profile. Read it as a structural comparison of work, not as a guarantee that these roles will stay unchanged.

Rank	Job	Occupation group	Generative-AI exposure
1	Housekeeper	Skilled agricultural workers and elementary occupations	13
2	Fisherman	Skilled agricultural workers and elementary occupations	17
3	Construction Worker	Skilled agricultural workers and elementary occupations	19
4	Ship Engineer	Technicians and associate professionals	27
5	Water Treatment Operator	Technicians and associate professionals	27
6	Veterinary Assistant	Technicians and associate professionals	28
7	Farmer	Skilled agricultural workers and elementary occupations	32
8	Paramedic	Technicians and associate professionals	32
9	Dentist	Professionals	33
10	Warehouse Operator	Skilled agricultural workers and elementary occupations	34
11	Laboratory Technician	Technicians and associate professionals	37
12	Pilot	Technicians and associate professionals	39
13	Power Plant Operator	Technicians and associate professionals	39
14	Fitness Trainer	Technicians and associate professionals	39
15	Surgeon	Professionals	39
16	Sound Engineer	Technicians and associate professionals	41
17	Ship Captain	Technicians and associate professionals	42
18	Chef	Technicians and associate professionals	44
19	Medical Assistant	Technicians and associate professionals	46
20	Veterinarian	Professionals	47

Sources

Exposure index calculated by ai-job-risk.net from the datasets below (data as of October 15, 2026). US labour figures are from the BLS, unchanged.

The publishers did not prepare, review or endorse this site. Full citations, licences and method

Frequently asked questions

Q.Which jobs are most at risk from AI in South Korea?

Most exposed: Interpreter, Translator, Web Developer. Employment concentrates in semiconductor fabrication, electronics and automotive manufacturing, shipbuilding, and a services sector anchored by finance, telecom, and a large private education and tutoring industry (hagwon). AI pressure is strongest in administrative and clerical work inside large conglomerates, standardized financial processing, translation, and customer support.

Q.Which jobs are safest from AI in South Korea?

Least exposed: Housekeeper, Fisherman, Construction Worker. What remains durable in South Korea is work tied to hardware reliability, physical process control, and reputation-sensitive service. Semiconductor process engineers, quality technicians in electronics and automotive plants, and skilled tradespeople in shipbuilding hold their value because equipment failures and yield problems carry outsized financial consequences that still require expert human diagnosis.

Q.How exposed is South Korea to AI automation?

South Korea is best read by separating semiconductor and electronics manufacturing, where physical process control and yield management dominate, from the administrative and reporting layers inside the chaebol and their supplier networks. High broadband penetration and near-universal digital literacy mean AI tools spread through office work, translation, and customer service unusually fast. That speed does not carry over cleanly into fabrication plants and hardware engineering, where defect rates depend on specialized technicians, nor into the tutoring-heavy private education sector, where parental trust and exam outcomes still favor human instructors.

Q.Does high exposure mean jobs will disappear in South Korea?

A single score glosses over the gap between Seoul's highly digitized corporate and service sectors and the industrial cities built around shipyards, fabs, and auto plants, where physical process work dominates. It also cannot capture how conglomerate hiring practices and strong internal labor protections slow the conversion of automation exposure into actual job loss. Read the score together with the split between office-based conglomerate work and hardware-dependent manufacturing roles.