AI & jobs · Autonomous Commune in Central African Republic
Bangui
12%
of jobs here are estimated to be exposed to generative AI, above the national 9% (+2.8 pts).
MODEL1st of 17 regions50.2K exposed workers
Key numbers
PopulationWIKIDATA
889K
as of 2020
Share of national populationWIKIDATA
21.4%
1st largest of 17
People in workMODEL
416K
national total × population share
Highest-exposure jobsMODEL
2.0%
national 1.1%
Area
94 km²
9,460 people per km²
Settlement patternMODEL
Highly urban
94% live in major cities
Largest city
Bangui
832K (metro)
Mapped towns & cities
1
Natural Earth places
AI use
The Anthropic Economic Index does not publish usage for this region. Regions below a minimum number of sampled conversations are left out.
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Bangui
Central African Republic
Exposed workers by sector
MODELRanking in Central African Republic
MODELBy modelled AI exposure, out of 17 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Central African Republic's real ILO sector employment across regions using population (Wikidata) and density: denser, capital-city regions get more finance, ICT and professional jobs, and rural regions more farming. Totals match national figures. AI usage figures are measured, not modelled. Methodology
Other regions of Central African Republic
- 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