AI & jobs · Province in Cameroon
Littoral
22%
of jobs here are estimated to be exposed to generative AI, above the national 18% (+3.9 pts).
MODEL1st of 10 regions316K exposed workers
Key numbers
PopulationWIKIDATA
2.3M
as of 2007
Share of national populationWIKIDATA
12.9%
3rd largest of 10
People in workMODEL
1.4M
national total × population share
Highest-exposure jobsMODEL
2.9%
national 2.2%
Area
20.2K km²
114 people per km²
Settlement patternMODEL
Highly urban
97% live in major cities
Largest city
Douala
1.9M (metro)
Mapped towns & cities
3
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
2.82×
usage share ÷ population share
Share of national useANTHROPIC
36.4%
12.9% of population
Work-relatedANTHROPIC
35%
national 34%
Automation-styleANTHROPIC
56%
national 56%
Augmentation 45%Automation 56%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Littoral
Cameroon
Exposed workers by sector
MODELRanking in Cameroon
MODELBy modelled AI exposure, out of 10 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Cameroon'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