AI & jobs · Country profile
Tunisia
22%
of jobs are in occupations exposed to generative AI. That's about 795K people.
MODEL109th of 183 most exposed
World 21%Lower-middle income 16%
Key numbers
Workers in exposed jobsMODEL
795K
of 3.6M in work
Highest-exposure jobsMODEL
3.3%
121K people
People in workILO
3.6M
28% women
UnemploymentWORLD BANK
15.1%
2025
Youth unemploymentWORLD BANK
38.1%
ages 15–24
GDP per capitaWORLD BANK
$4,657
US$, 2025
Internet usersWORLD BANK
77%
of population
AI preparednessIMF
0.47
83rd of 165
PopulationWORLD BANK
12.3M
Tertiary enrolmentWORLD BANK
38%
gross ratio
Vulnerable employmentWORLD BANK
18%
own-account & family workers
Urban populationWORLD BANK
71%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Women are +10.8 pts more exposed, mostly because they hold more clerical and administrative jobs.
How it compares
MODELAI preparedness
IMFTunisiaLower-middle income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.47 (0–1 scale).
Exposure vs preparedness
Tunisia is highlighted. The other dots are all countries with both measures.
Sources: ILO modelled estimates 2025 · World Bank WDI · IMF AIPI · Anthropic Economic Index · Wikidata · Natural Earth. How the estimates are made.
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
- Beja 22% exposed
- Kef 21% exposed
- Siliana 21% exposed
- Zaghouan 20% exposed
- Tataouine 22% exposed
- Tozeur 22% exposed
- Kebili 21% exposed