AI & jobs · Country profile
France
35%
of jobs are in occupations exposed to generative AI. That's about 10.4M people.
MODEL25th of 183 most exposed
World 21%High income 35%
Key numbers
Workers in exposed jobsMODEL
10.4M
of 29.4M in work
Highest-exposure jobsMODEL
6.0%
1.7M people
People in workILO
29.4M
48% women
UnemploymentWORLD BANK
7.5%
2025
Youth unemploymentWORLD BANK
18.9%
ages 15–24
GDP per capitaWORLD BANK
$48,986
US$, 2025
Internet usersWORLD BANK
89%
of population
AI preparednessIMF
0.70
22nd of 165
PopulationWORLD BANK
68.7M
Tertiary enrolmentWORLD BANK
72%
gross ratio
Vulnerable employmentWORLD BANK
9%
own-account & family workers
Urban populationWORLD BANK
79%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Women are +11.6 pts more exposed, mostly because they hold more clerical and administrative jobs.
How it compares
MODELAI preparedness
IMFFranceHigh income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.70 (0–1 scale).
Exposure vs preparedness
France is highlighted. The other dots are all countries with both measures.
Sources: ILO modelled estimates 2025 · World Bank WDI · IMF AIPI · Anthropic Economic Index · Wikidata · Natural Earth. How the estimates are made.
Regions of France
- Nord 36% exposed
- Paris 38% exposed
- Bouches-du-Rhône 37% exposed
- Seine-Saint-Denis 35% exposed
- Gironde 36% exposed
- Hauts-de-Seine 35% exposed
- Loire-Atlantique 36% exposed
- Yvelines 35% exposed
- Haute-Garonne 36% exposed
- Seine-et-Marne 36% exposed
- Pas-de-Calais 35% exposed
- Val-de-Marne 35% exposed
- Essonne 34% exposed
- Isère 36% exposed
- Val-d'Oise 34% exposed
- Seine-Maritime 36% exposed
- Hérault 36% exposed
- Bas-Rhin 36% exposed
- Alpes-Maritimes 37% exposed
- Ille-et-Vilaine 36% exposed
- Var 36% exposed
- Moselle 36% exposed
- Finistère 36% exposed
- Réunion 36% exposed
- Haute-Savoie 35% exposed
- Maine-et-Loire 36% exposed
- Oise 34% exposed
- Morbihan 35% exposed
- Loire 36% exposed
- Gard 36% exposed
- Haut-Rhin 36% exposed
- Meurthe-et-Moselle 36% exposed
- Vendée 34% exposed
- Calvados 36% exposed
- Pyrenees-Atlantics 36% exposed
- Loiret 36% exposed
- Ain 34% exposed
- Charente-Maritime 35% exposed
- Puy-de-Dôme 36% exposed
- Indre-et-Loire 36% exposed
- Côtes-d'Armor 35% exposed
- Eure 34% exposed
- Vaucluse 34% exposed
- Sarthe 36% exposed
- Somme 36% exposed
- Marne 36% exposed
- Saône-et-Loire 34% exposed
- Doubs 36% exposed
- Côte-d’Or 36% exposed
- Drôme 34% exposed
- Aisne 34% exposed
- Manche 35% exposed
- Pyrénées-Orientales 36% exposed
- Rhône 36% exposed
- Savoie 34% exposed
- Vienne 35% exposed
- Landes 34% exposed
- Eure-et-Loir 34% exposed
- Dordogne 34% exposed
- Tarn 34% exposed
- Guadeloupe 36% exposed
- Aude 34% exposed
- Deux-Sèvres 34% exposed
- Haute-Vienne 36% exposed
- Martinique 36% exposed
- Vosges 34% exposed
- Charente 34% exposed
- Ardèche 34% exposed
- Lot-et-Garonne 35% exposed
- Allier 35% exposed
- Yonne 35% exposed
- Loir-et-Cher 34% exposed
- Mayotte 36% exposed
- Aube 35% exposed
- Mayenne 34% exposed
- Cher 36% exposed
- French Guiana 35% exposed
- Aveyron 33% exposed
- Orne 34% exposed
- Ardennes 34% exposed
- Tarn-et-Garonne 34% exposed
- Jura 34% exposed
- Corrèze 35% exposed
- Haute-Saône 34% exposed
- Hautes-Pyrénées 36% exposed
- Haute-Loire 34% exposed
- Indre 33% exposed
- Nièvre 35% exposed
- Gers 33% exposed
- Haute-Corse 35% exposed
- Meuse 33% exposed
- Lot 34% exposed
- Haute-Marne 33% exposed
- Corse-du-Sud 36% exposed
- Alpes-de-Haute-Provence 33% exposed
- Ariège 33% exposed
- Cantal 33% exposed
- Hautes-Alpes 33% exposed
- Territoire de Belfort 34% exposed
- Creuse 33% exposed
- Lozère 33% exposed