AI & jobs · Préfecture in Chad
Tibesti
9%
of jobs here are estimated to be exposed to generative AI, below the national 12% (−2.8 pts).
MODEL22nd of 22 regions1,036 exposed workers
Key numbers
PopulationWIKIDATA
36.5K
as of 2019
Share of national populationWIKIDATA
0.2%
22nd largest of 22
People in workMODEL
11.6K
national total × population share
Highest-exposure jobsMODEL
0.6%
national 1.0%
Area
120K km²
0 people per km²
Settlement patternMODEL
Very rural
1% live in major cities
Largest city
Zouar
204 (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
MODELEstimated share of jobs by sector, against the national mix.
Tibesti
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
- Mandoul 10% 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