AI & jobs · Governorate in Tunisia
Sousse
23%
of jobs here are estimated to be exposed to generative AI, above the national 22% (+1.0 pts).
MODEL2nd of 23 regions54.8K exposed workers
Key numbers
PopulationWIKIDATA
675K
as of 2014
Share of national populationWIKIDATA
6.6%
4th largest of 23
People in workMODEL
239K
national total × population share
Highest-exposure jobsMODEL
3.6%
national 3.3%
Area
2,668 km²
253 people per km²
Settlement patternMODEL
Urban
48% live in major cities
Largest city
Sousse
327K (metro)
Mapped towns & cities
1
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
0.70×
usage share ÷ population share
Share of national useANTHROPIC
4.6%
6.6% of population
Work-relatedANTHROPIC
26%
national 32%
Automation-styleANTHROPIC
52%
national 52%
Augmentation 48%Automation 52%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Sousse
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
- 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
- Beja 22% exposed
- Kef 21% exposed
- Siliana 21% exposed
- Zaghouan 20% exposed
- Tataouine 22% exposed
- Tozeur 22% exposed
- Kebili 21% exposed