AI & jobs · Prefecture in Chad
Mandoul
10%
of jobs here are estimated to be exposed to generative AI, below the national 12% (−1.5 pts).
MODEL14th of 22 regions29.3K exposed workers
Key numbers
PopulationWIKIDATA
897K
as of 2019
Share of national populationWIKIDATA
4.3%
8th largest of 22
People in workMODEL
285K
national total × population share
Highest-exposure jobsMODEL
0.8%
national 1.0%
Area
17.3K km²
52 people per 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
MODELEstimated share of jobs by sector, against the national mix.
Mandoul
Chad
Exposed workers by sector
MODELRanking in Chad
MODELBy modelled AI exposure, out of 22 regions.
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
- Ennedi 10% exposed
- Logone Oriental 14% exposed
- Mayo-Kebbi Est 14% exposed
- N'Djamena 19% exposed
- Ouaddaï 14% exposed
- Logone Occidental 11% exposed
- Tandjilé 14% exposed
- Moyen-Chari 14% exposed
- Chari-Baguirmi 10% exposed
- Mayo-Kebbi Ouest 12% exposed
- Hadjer-Lamis 10% exposed
- Wadi Fira 10% exposed
- Batha 12% exposed
- Guéra 11% exposed
- Lac 10% exposed
- Sila 10% exposed
- Kanem 11% exposed
- Salamat 12% exposed
- Bahr el Gazel 10% exposed
- Borkou 11% exposed
- Tibesti 9% exposed