AI & jobs · Country profile
Central African Republic
9%
of jobs are in occupations exposed to generative AI. That's about 180K people.
MODEL182nd of 183 most exposed
World 21%Low income 13%
Key numbers
Workers in exposed jobsMODEL
180K
of 1.9M in work
Highest-exposure jobsMODEL
1.1%
21.7K people
People in workILO
1.9M
48% women
UnemploymentWORLD BANK
6.3%
2025
Youth unemploymentWORLD BANK
10.1%
ages 15–24
GDP per capitaWORLD BANK
$556
US$, 2025
Internet usersWORLD BANK
14%
of population
AI preparednessIMF
0.18
165th of 165
PopulationWORLD BANK
5.5M
Tertiary enrolmentWORLD BANK
3%
gross ratio
Vulnerable employmentWORLD BANK
79%
own-account & family workers
Urban populationWORLD BANK
45%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Women are +1.5 pts more exposed, mostly because they hold more clerical and administrative jobs.
How it compares
MODELAI preparedness
IMFCentral African RepublicLow income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.18 (0–1 scale).
Exposure vs preparedness
Central African Republic 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 Central African Republic
- Bangui 12% exposed
- Ouham-Pendé Prefecture 8% exposed
- Ouham Prefecture 9% exposed
- Mambéré-Kadéï 9% exposed
- Ombella-M'Poko Prefecture 7% exposed
- Ouaka Prefecture 9% exposed
- Basse-Kotto Prefecture 8% exposed
- Lobaye Prefecture 9% exposed
- Nana-Mambéré Prefecture 8% exposed
- Mbomou Prefecture 9% exposed
- Kémo Prefecture 9% exposed
- Nana-Grébizi Economic Prefecture 9% exposed
- Sangha-Mbaéré 9% exposed
- Haute-Kotto Prefecture 9% exposed
- Haut-Mbomou Prefecture 9% exposed
- Vakaga Prefecture 8% exposed
- Bamingui-Bangoran Prefecture 9% exposed