AI & jobs · Country profile
Chad
12%
of jobs are in occupations exposed to generative AI. That's about 785K people.
MODEL175th of 183 most exposed
World 21%Low income 13%
Key numbers
Workers in exposed jobsMODEL
785K
of 6.7M in work
Highest-exposure jobsMODEL
1.0%
69.6K people
People in workILO
6.7M
40% women
UnemploymentWORLD BANK
1.1%
2025
Youth unemploymentWORLD BANK
1.5%
ages 15–24
GDP per capitaWORLD BANK
$1,022
US$, 2025
Internet usersWORLD BANK
13%
of population
AI preparednessIMF
0.23
162nd of 165
PopulationWORLD BANK
21M
Tertiary enrolmentWORLD BANK
4%
gross ratio
Vulnerable employmentWORLD BANK
90%
own-account & family workers
Urban populationWORLD BANK
28%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Men are +1.9 pts more exposed here. Women’s jobs are concentrated in less-exposed work such as agriculture and care.
How it compares
MODELAI preparedness
IMFChadLow income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.23 (0–1 scale).
Exposure vs preparedness
Chad 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 Chad
- Ennedi 10% exposed
- Logone Oriental 14% exposed
- Mayo-Kebbi Est 14% exposed
- N'Djamena 19% exposed
- Ouaddaï 14% exposed
- Logone Occidental 11% exposed
- Tandjilé 14% exposed
- Mandoul 10% exposed
- Moyen-Chari 14% exposed
- Chari-Baguirmi 10% exposed
- Mayo-Kebbi Ouest 12% exposed
- Hadjer-Lamis 10% exposed
- Wadi Fira 10% exposed
- Batha 12% exposed
- Guéra 11% exposed
- Lac 10% exposed
- Sila 10% exposed
- Kanem 11% exposed
- Salamat 12% exposed
- Bahr el Gazel 10% exposed
- Borkou 11% exposed
- Tibesti 9% exposed