AI Job Atlas
AI & jobs · Region in Republic of the Congo

Pool

Region CG-12 Largest city: Kinkala
16%
of jobs here are estimated to be exposed to generative AI, below the national 24% (−7.1 pts).
MODEL11th of 12 regions21.2K exposed workers

Key numbers

PopulationWIKIDATA
395K
as of 2023
Share of national populationWIKIDATA
6.1%
3rd largest of 12
People in workMODEL
129K
national total × population share
Highest-exposure jobsMODEL
2.0%
national 3.3%
Area
29.1K km²
14 people per km²
Settlement patternMODEL
Very rural
4% live in major cities
Largest city
Kinkala
13.9K (metro)
Mapped towns & cities
1
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.

Pool Republic of the Congo
Agriculture 69.9%
Retail & wholesale 10.1%
Manufacturing 7.9%
Other services 2.2%
Transport & logistics 2.2%
Construction 2.0%
Education 1.4%
Hospitality 1.3%
Business services 0.9%
Mining 0.8%
Health & care 0.6%
Public admin 0.5%
Finance 0.2%
ICT & software 0.1%
Utilities 0.1%

Exposed workers by sector

MODEL
Agriculture 9,596 Retail & wholesale 4,108 Manufacturing 2,439 Transport & logistics 1,112 Other services 859 Education 796 Business services 471 Hospitality 470

Ranking in Republic of the Congo

MODEL

By modelled AI exposure, out of 12 regions.

6Lékoumou 21% 7Cuvette 20% 8Plateaux 19% 9Cuvette-Ouest 19% 10Likouala 17% 11Pool 16% 12Kouilou 16%
About these estimates. No source publishes AI exposure by region for every country. The model splits Republic of the Congo'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 Republic of the Congo

All of Republic of the Congo →