AI & jobs · Department in Côte d'Ivoire
Sud-Bandama
17%
of jobs here are estimated to be exposed to generative AI, below the national 17% (−0.1 pts).
MODEL8th of 19 regions82.6K exposed workers
Key numbers
PopulationMODEL
≈1.2M
estimated from area
Share of national populationMODEL
3.8%
10th largest of 19
People in workMODEL
479K
national total × population share
Highest-exposure jobsMODEL
1.9%
national 2.0%
Area
10.8K km²
Settlement patternMODEL
Mixed
10% live in major cities
Largest city
Divo
128K (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.
Sud-Bandama
Côte d'Ivoire
Exposed workers by sector
MODELRanking in Côte d'Ivoire
MODELBy modelled AI exposure, out of 19 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Côte d'Ivoire'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 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
- 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