AI Job Risk in France

Average generative-AI exposure of the workforce

0.312

ILO score (0–1). Rank 11 of 20 countries.

People in employment, 2025

29,352,000

ILO modelled estimate

What people in France 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	25.2%	0.39
Technicians and associate professionals	18.2%	0.35
Service and sales workers	14.6%	0.26
Skilled agricultural workers and elementary occupations	10.9%	0.15
Craft and related trades workers	9.4%	0.17
Clerical support workers	8.0%	0.53
Managers	7.4%	0.36
Plant and machine operators, and assemblers	6.2%	0.20

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

France is best read by separating what AI can technically do from how quickly French labor law and institutions allow that capability to change staffing. Administrative processing, standardized financial analysis, and routine drafting sit in the exposed layer on a purely technical basis. Public-sector employment, unionized industrial roles, and regulated professions sit in the durable layer for institutional as well as technical reasons: strong dismissal protections, mandatory employee consultation through works councils, and civil-service status all raise the practical cost and legal complexity of converting automation into job cuts.

What drives the figure

Employment concentrates in a large public administration and public services sector, aerospace and automotive manufacturing, luxury goods and agri-food production, and tourism. AI pressure is strongest in banking back offices, insurance processing, and standardized corporate administrative work, where technical exposure is high. It moves more slowly through the state sector, where civil-servant status limits at-will restructuring, through unionized manufacturing plants in aerospace and automotive where works councils must be consulted on major changes, and through agriculture and tourism, which depend on physical presence and seasonal, regional variation.

What Holds Up Better

What holds up best is work protected by institutional structure as much as by task content: civil servants, unionized industrial roles in aerospace and automotive manufacturing, and regulated professions such as notaires and medical practitioners whose functions are defined by law. France's strong collective-bargaining tradition and works-council consultation requirements mean that even when automation is technically ready, employers face real procedural constraints before headcount actually changes, which slows displacement even in administrative roles that are otherwise highly exposed.

What This Page Does Not Claim

A national score captures technical exposure well but understates how much French labor law and collective bargaining slow the conversion of exposure into actual job change, especially in the public sector and unionized industries. It also blends Paris-centered service and administrative work with regional manufacturing and agricultural employment that faces a different mix of pressures. Read the number alongside sector mix and the strength of employment protection, not as a direct forecast of job losses.

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 France, 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	Telemarketer	Service and sales workers	93
20	Journalist	Professionals	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	Ship Engineer	Technicians and associate professionals	27
3	Water Treatment Operator	Technicians and associate professionals	27
4	Veterinary Assistant	Technicians and associate professionals	28
5	Paramedic	Technicians and associate professionals	32
6	Dentist	Professionals	33
7	Laboratory Technician	Technicians and associate professionals	37
8	Pilot	Technicians and associate professionals	39
9	Power Plant Operator	Technicians and associate professionals	39
10	Security Guard	Service and sales workers	39
11	Fitness Trainer	Technicians and associate professionals	39
12	Barista	Service and sales workers	39
13	Surgeon	Professionals	39
14	Sound Engineer	Technicians and associate professionals	41
15	Ship Captain	Technicians and associate professionals	42
16	Bartender	Service and sales workers	43
17	Chef	Technicians and associate professionals	44
18	Cook	Service and sales workers	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 France?

Most exposed: Interpreter, Translator, Web Developer. Employment concentrates in a large public administration and public services sector, aerospace and automotive manufacturing, luxury goods and agri-food production, and tourism. AI pressure is strongest in banking back offices, insurance processing, and standardized corporate administrative work, where technical exposure is high.

Q.Which jobs are safest from AI in France?

Least exposed: Firefighter, Ship Engineer, Water Treatment Operator. What holds up best is work protected by institutional structure as much as by task content: civil servants, unionized industrial roles in aerospace and automotive manufacturing, and regulated professions such as notaires and medical practitioners whose functions are defined by law. France's strong collective-bargaining tradition and works-council consultation requirements mean that even when automation is technically ready, employers face real procedural constraints before headcount actually changes, which slows displacement even in administrative roles that are otherwise highly exposed.

Q.How exposed is France to AI automation?

France is best read by separating what AI can technically do from how quickly French labor law and institutions allow that capability to change staffing. Administrative processing, standardized financial analysis, and routine drafting sit in the exposed layer on a purely technical basis. Public-sector employment, unionized industrial roles, and regulated professions sit in the durable layer for institutional as well as technical reasons: strong dismissal protections, mandatory employee consultation through works councils, and civil-service status all raise the practical cost and legal complexity of converting automation into job cuts.

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

A national score captures technical exposure well but understates how much French labor law and collective bargaining slow the conversion of exposure into actual job change, especially in the public sector and unionized industries. It also blends Paris-centered service and administrative work with regional manufacturing and agricultural employment that faces a different mix of pressures. Read the number alongside sector mix and the strength of employment protection, not as a direct forecast of job losses.