AI & jobs · Governorate in Tunisia
Beja
22%
of jobs here are estimated to be exposed to generative AI, below the national 22% (−0.4 pts).
MODEL15th of 23 regions23.1K exposed workers
Key numbers
PopulationWIKIDATA
303K
as of 2014
Share of national populationWIKIDATA
3.0%
17th largest of 23
People in workMODEL
107K
national total × population share
Highest-exposure jobsMODEL
3.2%
national 3.3%
Area
3,692 km²
82 people per km²
Settlement patternMODEL
Mixed
20% live in major cities
Largest city
Béja
59.6K (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.
Beja
Tunisia
Exposed workers by sector
MODELRanking in Tunisia
MODELBy modelled AI exposure, out of 23 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Tunisia'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 Tunisia
- Tunis 25% exposed
- Sfax 23% exposed
- Nabeul 22% exposed
- Sousse 23% exposed
- Ben Arous 18% exposed
- Kairouan 22% exposed
- Bizerte 22% exposed
- Monastir 22% exposed
- Medenine 23% exposed
- Kasserine 22% exposed
- Sidi Bouzid 20% exposed
- Mahdia 21% exposed
- Jendouba 21% exposed
- Manouba 22% exposed
- Gabès 23% exposed
- Gafsa 22% exposed
- Kef 21% exposed
- Siliana 21% exposed
- Zaghouan 20% exposed
- Tataouine 22% exposed
- Tozeur 22% exposed
- Kebili 21% exposed