AI Job Atlas
AI & jobs · Province in Congo, Dem. Rep.

Kasaï-Occidental

Province CD-KW Largest city: Kananga
11%
of jobs here are estimated to be exposed to generative AI, below the national 13% (−1.8 pts).
MODEL11th of 11 regions906K exposed workers

Key numbers

PopulationMODEL
≈25.3M
estimated from area
Share of national populationMODEL
22.4%
2nd largest of 11
People in workMODEL
8.4M
national total × population share
Highest-exposure jobsMODEL
0.6%
national 0.8%
Area
154K km²
Settlement patternMODEL
Rural
5% live in major cities
Largest city
Kananga
765K (metro)
Mapped towns & cities
7
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.

Kasaï-Occidental Congo, Dem. Rep.
Agriculture 70.3%
Retail & wholesale 15.8%
Manufacturing 3.7%
Mining 2.6%
Transport & logistics 2.2%
Other services 1.5%
Hospitality 1.0%
Public admin 0.9%
Education 0.7%
Health & care 0.4%
Business services 0.3%
ICT & software 0.2%
Finance 0.2%
Utilities 0.1%
Construction 0.1%

Exposed workers by sector

MODEL
Agriculture 395K Retail & wholesale 298K Manufacturing 46K Mining 27.6K Public admin 25.4K Education 24.2K Transport & logistics 23.2K Other services 19.7K

Ranking in Congo, Dem. Rep.

MODEL

By modelled AI exposure, out of 11 regions.

5Kongo Central 13% 6North Kivu 12% 7Orientale 12% 8Maniema 12% 9South Kivu 12% 10Kasaï-Oriental 11% 11Kasaï-Occidental 11%
About these estimates. No source publishes AI exposure by region for every country. The model splits Congo, Dem. Rep.'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 Congo, Dem. Rep.

All of Congo, Dem. Rep. →