AI & jobs · Region in Senegal
Dakar
23%
of jobs here are estimated to be exposed to generative AI, above the national 19% (+4.2 pts).
MODEL1st of 14 regions293K exposed workers
Key numbers
PopulationWIKIDATA
3.9M
as of 2023
Share of national populationWIKIDATA
21.6%
1st largest of 14
People in workMODEL
1.3M
national total × population share
Highest-exposure jobsMODEL
4.3%
national 3.3%
Area
574 km²
6,788 people per km²
Settlement patternMODEL
Highly urban
67% live in major cities
Largest city
Dakar
2.6M (metro)
Mapped towns & cities
1
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
4.09×
usage share ÷ population share
Share of national useANTHROPIC
88.3%
21.6% of population
Work-relatedANTHROPIC
41%
national 40%
Automation-styleANTHROPIC
52%
national 52%
Augmentation 48%Automation 52%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Dakar
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
- 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
- Matam 16% exposed
- Kaffrine 14% exposed
- Ziguinchor 20% exposed
- Sédhiou 14% exposed
- Kédougou 17% exposed