AI & jobs · Country profile
Côte d'Ivoire
17%
of jobs are in occupations exposed to generative AI. That's about 2.2M people.
MODEL144th of 183 most exposed
World 21%Lower-middle income 16%
Key numbers
Workers in exposed jobsMODEL
2.2M
of 12.8M in work
Highest-exposure jobsMODEL
2.0%
252K people
People in workILO
12.8M
43% women
UnemploymentWORLD BANK
2.3%
2025
Youth unemploymentWORLD BANK
4.0%
ages 15–24
GDP per capitaWORLD BANK
$3,050
US$, 2025
Internet usersWORLD BANK
41%
of population
AI preparednessIMF
0.37
120th of 165
PopulationWORLD BANK
32.7M
Tertiary enrolmentWORLD BANK
12%
gross ratio
Vulnerable employmentWORLD BANK
69%
own-account & family workers
Urban populationWORLD BANK
55%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Women are +4.4 pts more exposed, mostly because they hold more clerical and administrative jobs.
How it compares
MODELAI preparedness
IMFCôte d'IvoireLower-middle income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.37 (0–1 scale).
Exposure vs preparedness
Côte d'Ivoire 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 Côte d'Ivoire
- Lagunes 24% exposed
- Savanes 16% exposed
- Zanzan 13% exposed
- Denguélé 14% exposed
- Bas-Sassandra 18% exposed
- Dix-Huit Montagnes 17% exposed
- Haut-Sassandra 18% exposed
- Moyen-Cavally 14% exposed
- Vallée du Bandama 19% exposed
- Sud-Bandama 17% exposed
- Lacs 21% exposed
- Marahoué 16% exposed
- Sud-Comoé 16% exposed
- Comoé 18% exposed
- Fromager 18% exposed
- Agnéby 17% exposed
- Worodougou 15% exposed
- Bafing 15% exposed
- N'zi-Comoé 16% exposed