AI Job Atlas
AI & jobs · Prefecture in Guinea

Kindia

Prefecture GN-KD Largest city: Kindia
18%
of jobs here are estimated to be exposed to generative AI, above the national 18% (+0.2 pts).
MODEL12th of 34 regions82.7K exposed workers

Key numbers

PopulationWIKIDATA
1.6M
as of 2014
Share of national populationWIKIDATA
10.3%
2nd largest of 34
People in workMODEL
462K
national total × population share
Highest-exposure jobsMODEL
1.5%
national 1.5%
Area
8,600 km²
181 people per km²
Settlement patternMODEL
Mixed
8% live in major cities
Largest city
Kindia
117K (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.

Kindia Guinea
Agriculture 45.7%
Retail & wholesale 23.7%
Manufacturing 7.5%
Transport & logistics 3.7%
Other services 3.7%
Construction 3.5%
Mining 3.3%
Public admin 2.3%
Education 2.2%
Business services 2.1%
Health & care 0.9%
Utilities 0.7%
ICT & software 0.4%
Hospitality 0.3%
Finance 0.1%

Exposed workers by sector

MODEL
Retail & wholesale 32K Agriculture 17.5K Manufacturing 5,622 Other services 4,686 Education 4,571 Transport & logistics 3,854 Public admin 3,770 Business services 3,495

Ranking in Guinea

MODEL

By modelled AI exposure, out of 34 regions.

9Tougué Prefecture 18% 10Pita Prefecture 18% 11Macenta Prefecture 18% 12Kindia 18% 13Kérouané Prefecture 18% 14Télimélé Prefecture 18% 15Kankan 18%
About these estimates. No source publishes AI exposure by region for every country. The model splits 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 Guinea

All of Guinea →