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

South Kivu

Province CD-SK Largest city: Bukavu
12%
of jobs here are estimated to be exposed to generative AI, below the national 13% (−0.9 pts).
MODEL9th of 11 regions275K exposed workers

Key numbers

PopulationWIKIDATA
7.1M
as of 2020
Share of national populationWIKIDATA
6.3%
6th largest of 11
People in workMODEL
2.3M
national total × population share
Highest-exposure jobsMODEL
0.7%
national 0.8%
Area
63.7K km²
111 people per km²
Settlement patternMODEL
Mixed
9% live in major cities
Largest city
Bukavu
437K (metro)
Mapped towns & cities
3
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 Kivu Congo, Dem. Rep.
Agriculture 63.9%
Retail & wholesale 19.4%
Manufacturing 4.4%
Mining 2.9%
Transport & logistics 2.7%
Other services 1.9%
Hospitality 1.2%
Public admin 1.2%
Education 0.8%
Health & care 0.5%
Business services 0.4%
ICT & software 0.4%
Finance 0.3%
Utilities 0.1%
Construction 0.1%

Exposed workers by sector

MODEL
Retail & wholesale 102K Agriculture 100K Manufacturing 15.3K Public admin 9,053 Mining 8,635 Education 8,084 Transport & logistics 7,882 Other services 6,751

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. →