AI Job Atlas
AI & jobs · Province in Cameroon

South

Province CM-SU Largest city: Ebolowa
16%
of jobs here are estimated to be exposed to generative AI, below the national 18% (−2.8 pts).
MODEL9th of 10 regions61K exposed workers

Key numbers

PopulationWIKIDATA
633K
as of 2007
Share of national populationWIKIDATA
3.6%
10th largest of 10
People in workMODEL
394K
national total × population share
Highest-exposure jobsMODEL
1.7%
national 2.2%
Area
47.7K km²
13 people per km²
Settlement patternMODEL
Rural
23% live in major cities
Largest city
Ebolowa
87.9K (metro)
Mapped towns & cities
2
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

MODEL

Estimated share of jobs by sector, against the national mix.

South Cameroon
Agriculture 56.8%
Retail & wholesale 11.6%
Manufacturing 7.6%
Other services 4.4%
Transport & logistics 4.0%
Education 3.6%
Construction 3.3%
Hospitality 3.1%
Public admin 1.7%
Health & care 1.7%
Business services 0.9%
Mining 0.5%
ICT & software 0.4%
Utilities 0.3%
Finance 0.3%

Exposed workers by sector

MODEL
Agriculture 18.1K Retail & wholesale 13.1K Education 5,854 Manufacturing 4,774 Other services 3,920 Transport & logistics 3,437 Hospitality 2,880 Public admin 2,582

Ranking in Cameroon

MODEL

By modelled AI exposure, out of 10 regions.

4Southwest 18% 5Adamawa 18% 6North 18% 7West 18% 8East 16% 9South 16% 10Far North 15%
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

Other regions of Cameroon

All of Cameroon →