AI Job Risk in Japan

Average generative-AI exposure of the workforce

0.317

ILO score (0–1). Rank 8 of 20 countries.

People in employment, 2025

67,630,000

ILO modelled estimate

What people in Japan 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)
Service and sales workers	31.0%	0.26
Clerical support workers	20.9%	0.53
Professionals	11.6%	0.39
Skilled agricultural workers and elementary occupations	9.9%	0.15
Technicians and associate professionals	9.0%	0.35
Craft and related trades workers	8.7%	0.17
Plant and machine operators, and assemblers	7.1%	0.20
Managers	1.8%	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

Japan is best read by separating the country's dense administrative and clerical layer, still often built around paper forms, stamps, and manual approval chains, from the manufacturing floor and service front lines where physical presence and accountability still dominate. AI spreads quickly through document processing, translation, scheduling, and internal reporting inside large corporations and government offices. It moves far more slowly through automotive and electronics production, retail floor operations, and the elder-care sector, where labor shortages driven by demographic decline mean many roles are becoming harder to fill, not easier to automate away.

What drives the figure

Japan concentrates employment in automotive and electronics manufacturing, a large keiretsu-style supplier network, retail and convenience-store services, and an outsized public and corporate administrative sector known for meticulous paperwork. AI pressure concentrates in back-office functions: general affairs, accounting, HR administration, translation, and the standardized reporting that fills much of Japanese white-collar work. It spreads more slowly across the shop floor and service counter, where line workers, maintenance technicians, retail staff, and caregivers depend on physical tasks, customer-facing courtesy norms, and the kind of tacit, on-the-job knowledge that Japanese firms have historically prized over formal credentials.

What Holds Up Better

What holds up best in Japan is work anchored in physical craft, quality assurance, and caregiving, areas already strained by a shrinking working-age population. Manufacturing roles built on monozukuri-style precision and defect-catching, skilled trades, and the elder-care and nursing workforce serving one of the world's oldest populations remain durable because they require hands-on presence and trust that cannot be replicated by software. Middle-management coordination, still central to consensus-based decision-making, also resists full automation even as the paperwork underneath it shrinks.

What This Page Does Not Claim

A single national score cannot capture the split between Japan's shrinking pool of routine clerical roles, its labor-short caregiving and skilled-trades sectors, and its export-facing manufacturing core. Lifetime employment norms and gradual internal redeployment also mean measured exposure translates into job loss more slowly here than in markets with weaker employment protections. Read the score alongside sector mix and the demographic pressure that is separately driving demand for workers regardless of automation.

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 Japan, ordered by exposure index.

Rank	Job	Occupation group	Generative-AI exposure
1	Call Center Agent	Clerical support workers	99
2	Customer Support	Clerical support workers	99
3	Interpreter	Professionals	98
4	Translator	Professionals	98
5	Web Developer	Professionals	97
6	Technical Writer	Professionals	96
7	Programmer	Professionals	96
8	Content Writer	Professionals	95
9	Copywriter	Professionals	95
10	Data Analyst	Professionals	95
11	Data Scientist	Professionals	95
12	Software Tester	Professionals	95
13	Advertising Specialist	Professionals	94
14	Market Research Analyst	Professionals	94
15	Marketing Specialist	Professionals	94
16	SEO Specialist	Professionals	94
17	Social Media Manager	Professionals	94
18	Editor	Professionals	94
19	Telemarketer	Service and sales workers	93
20	Data Entry Clerk	Clerical support workers	93

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	Firefighter	Service and sales workers	25
2	Dentist	Professionals	33
3	Security Guard	Service and sales workers	39
4	Barista	Service and sales workers	39
5	Surgeon	Professionals	39
6	Bartender	Service and sales workers	43
7	Cook	Service and sales workers	44
8	Veterinarian	Professionals	47
9	Police Officer	Service and sales workers	47
10	Teaching Assistant	Service and sales workers	48

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 Japan?

Most exposed: Call Center Agent, Customer Support, Interpreter. Japan concentrates employment in automotive and electronics manufacturing, a large keiretsu-style supplier network, retail and convenience-store services, and an outsized public and corporate administrative sector known for meticulous paperwork. AI pressure concentrates in back-office functions: general affairs, accounting, HR administration, translation, and the standardized reporting that fills much of Japanese white-collar work.

Q.Which jobs are safest from AI in Japan?

Least exposed: Firefighter, Dentist, Security Guard. What holds up best in Japan is work anchored in physical craft, quality assurance, and caregiving, areas already strained by a shrinking working-age population. Manufacturing roles built on monozukuri-style precision and defect-catching, skilled trades, and the elder-care and nursing workforce serving one of the world's oldest populations remain durable because they require hands-on presence and trust that cannot be replicated by software.

Q.How exposed is Japan to AI automation?

Japan is best read by separating the country's dense administrative and clerical layer, still often built around paper forms, stamps, and manual approval chains, from the manufacturing floor and service front lines where physical presence and accountability still dominate. AI spreads quickly through document processing, translation, scheduling, and internal reporting inside large corporations and government offices. It moves far more slowly through automotive and electronics production, retail floor operations, and the elder-care sector, where labor shortages driven by demographic decline mean many roles are becoming harder to fill, not easier to automate away.

Q.Does high exposure mean jobs will disappear in Japan?

A single national score cannot capture the split between Japan's shrinking pool of routine clerical roles, its labor-short caregiving and skilled-trades sectors, and its export-facing manufacturing core. Lifetime employment norms and gradual internal redeployment also mean measured exposure translates into job loss more slowly here than in markets with weaker employment protections. Read the score alongside sector mix and the demographic pressure that is separately driving demand for workers regardless of automation.