AI Job Atlas
AI & jobs · Prefecture in Chad

Kanem

Prefecture TD-KA Largest city: Mao
11%
of jobs here are estimated to be exposed to generative AI, below the national 12% (−0.7 pts).
MODEL12th of 22 regions16.9K exposed workers

Key numbers

PopulationWIKIDATA
481K
as of 2019
Share of national populationWIKIDATA
2.3%
18th largest of 22
People in workMODEL
153K
national total × population share
Highest-exposure jobsMODEL
0.9%
national 1.0%
Area
68.2K km²
7 people per km²
Settlement patternMODEL
Mixed
4% live in major cities
Largest city
Mao
18K (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.

Kanem Chad
Agriculture 75.6%
Retail & wholesale 9.5%
Manufacturing 5.7%
Transport & logistics 1.6%
Other services 1.6%
Construction 1.6%
Education 1.3%
Public admin 1.1%
Hospitality 0.6%
Health & care 0.5%
Business services 0.5%
Mining 0.2%
Utilities 0.1%
ICT & software 0.1%
Finance 0.0%

Exposed workers by sector

MODEL
Agriculture 8,040 Retail & wholesale 4,130 Manufacturing 1,125 Education 827 Public admin 637 Transport & logistics 574 Other services 543 Health & care 275

Ranking in Chad

MODEL

By modelled AI exposure, out of 22 regions.

9Salamat 12% 10Guéra 11% 11Borkou 11% 12Kanem 11% 13Logone Occidental 11% 14Mandoul 10% 15Wadi Fira 10%
About these estimates. No source publishes AI exposure by region for every country. The model splits Chad'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 Chad

All of Chad →