AI & jobs · Region in Senegal
Matam
16%
of jobs here are estimated to be exposed to generative AI, below the national 19% (−2.9 pts).
MODEL11th of 14 regions42.9K exposed workers
Key numbers
PopulationWIKIDATA
834K
as of 2023
Share of national populationWIKIDATA
4.6%
10th largest of 14
People in workMODEL
276K
national total × population share
Highest-exposure jobsMODEL
2.5%
national 3.3%
Area
30.3K km²
28 people per km²
Settlement patternMODEL
Rural
3% live in major cities
Largest city
Kaédi
21.7K (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.
Matam
Senegal
Exposed workers by sector
MODELRanking in Senegal
MODELBy modelled AI exposure, out of 14 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Senegal'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 Senegal
- Dakar 23% exposed
- Thiès 19% exposed
- Diourbel 18% exposed
- Kaolack 20% exposed
- Saint-Louis 14% exposed
- Louga 17% exposed
- Tambacounda 17% exposed
- Kolda 18% exposed
- Fatick 16% exposed
- Kaffrine 14% exposed
- Ziguinchor 20% exposed
- Sédhiou 14% exposed
- Kédougou 17% exposed