AI Job Atlas
AI & jobs · Province in Equatorial Guinea

Kié-Ntem

Province GQ-KN
12%
of jobs here are estimated to be exposed to generative AI, below the national 15% (−3.6 pts).
MODEL7th of 7 regions8,163 exposed workers

Key numbers

PopulationMODEL
≈197K
estimated from area
Share of national populationMODEL
10.2%
5th largest of 7
People in workMODEL
68.9K
national total × population share
Highest-exposure jobsMODEL
1.4%
national 2.1%
Area
3,328 km²
Settlement patternMODEL
Rural
0% live in major cities
Mapped towns & cities
0
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.

Kié-Ntem Equatorial Guinea
Agriculture 74.3%
Retail & wholesale 6.0%
Manufacturing 4.1%
Other services 3.6%
Education 2.1%
Construction 1.6%
Transport & logistics 1.6%
Business services 1.5%
Health & care 1.5%
Public admin 1.3%
Hospitality 1.1%
Mining 0.7%
Finance 0.2%
ICT & software 0.2%
Utilities 0.2%

Exposed workers by sector

MODEL
Agriculture 3,945 Retail & wholesale 1,126 Education 593 Other services 544 Health & care 384 Public admin 355 Business services 354 Manufacturing 258

Ranking in Equatorial Guinea

MODEL

By modelled AI exposure, out of 7 regions.

1Bioko Norte 21% 2Litoral 17% 3Bioko Sur 15% 4Annobón 13% 5Wele-Nzas 13% 6Centro Sur 12% 7Kié-Ntem 12%
About these estimates. No source publishes AI exposure by region for every country. The model splits Equatorial Guinea'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 Equatorial Guinea

All of Equatorial Guinea →