AI Job Atlas
AI & jobs · Province in Equatorial Guinea

Bioko Sur

Province GQ-BS Largest city: Luba
15%
of jobs here are estimated to be exposed to generative AI, below the national 15% (−0.3 pts).
MODEL3rd of 7 regions4,247 exposed workers

Key numbers

PopulationMODEL
≈80.4K
estimated from area
Share of national populationMODEL
4.2%
6th largest of 7
People in workMODEL
28.1K
national total × population share
Highest-exposure jobsMODEL
2.1%
national 2.1%
Area
1,356 km²
Settlement patternMODEL
Mixed
11% live in major cities
Largest city
Luba
8,655 (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.

Bioko Sur Equatorial Guinea
Agriculture 55.9%
Retail & wholesale 10.1%
Manufacturing 6.4%
Other services 6.0%
Business services 3.7%
Education 3.3%
Transport & logistics 2.6%
Construction 2.6%
Health & care 2.6%
Public admin 2.5%
Hospitality 1.9%
Mining 0.9%
ICT & software 0.6%
Finance 0.6%
Utilities 0.3%

Exposed workers by sector

MODEL
Agriculture 1,211 Retail & wholesale 776 Education 382 Other services 375 Business services 342 Public admin 274 Health & care 265 Manufacturing 165

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 →