AI Job Atlas
AI & jobs · Prefecture in Chad

Salamat

Prefecture TD-SA Largest city: Am Timan
12%
of jobs here are estimated to be exposed to generative AI, above the national 12% (+0.1 pts).
MODEL9th of 22 regions16.3K exposed workers

Key numbers

PopulationWIKIDATA
435K
as of 2019
Share of national populationWIKIDATA
2.1%
19th largest of 22
People in workMODEL
138K
national total × population share
Highest-exposure jobsMODEL
1.1%
national 1.0%
Area
70.3K km²
6 people per km²
Settlement patternMODEL
Mixed
7% live in major cities
Largest city
Am Timan
30.4K (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.

Salamat Chad
Agriculture 71.3%
Retail & wholesale 11.3%
Manufacturing 6.5%
Transport & logistics 1.9%
Other services 1.8%
Construction 1.8%
Education 1.5%
Public admin 1.4%
Business services 0.7%
Hospitality 0.7%
Health & care 0.6%
Mining 0.2%
Utilities 0.2%
ICT & software 0.1%
Finance 0.1%

Exposed workers by sector

MODEL
Agriculture 6,856 Retail & wholesale 4,405 Manufacturing 1,174 Education 866 Public admin 701 Transport & logistics 608 Other services 579 Health & care 293

Ranking in Chad

MODEL

By modelled AI exposure, out of 22 regions.

6Tandjilé 14% 7Mayo-Kebbi Ouest 12% 8Batha 12% 9Salamat 12% 10Guéra 11% 11Borkou 11% 12Kanem 11%
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 →