AI & jobs · Country profile
Mauritius
30%
of jobs are in occupations exposed to generative AI. That's about 178K people.
MODEL56th of 183 most exposed
World 21%Upper-middle income 21%
Key numbers
Workers in exposed jobsMODEL
178K
of 599K in work
Highest-exposure jobsMODEL
5.7%
34K people
People in workILO
599K
40% women
UnemploymentWORLD BANK
5.6%
2025
Youth unemploymentWORLD BANK
17.4%
ages 15–24
GDP per capitaWORLD BANK
$12,991
US$, 2025
Internet usersWORLD BANK
73%
of population
AI preparednessIMF
0.53
59th of 165
PopulationWORLD BANK
1.2M
Tertiary enrolmentWORLD BANK
46%
gross ratio
Vulnerable employmentWORLD BANK
15%
own-account & family workers
Urban populationWORLD BANK
39%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Women are +13.1 pts more exposed, mostly because they hold more clerical and administrative jobs.
How it compares
MODELAI preparedness
IMFMauritiusUpper-middle income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.53 (0–1 scale).
Exposure vs preparedness
Mauritius 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 Mauritius
- Plaines Wilhems 29% exposed
- Pamplemousses 29% exposed
- Port Louis city 34% exposed
- Flacq 29% exposed
- Rivière du Rempart 29% exposed
- Grand Port 29% exposed
- Vacoas-Phoenix 30% exposed
- Beau Bassin-Rose Hill 30% exposed
- Quatre Bornes 30% exposed
- Moka 29% exposed
- Curepipe 33% exposed
- Rivière Noire 28% exposed
- Savanne 29% exposed
- Rodrigues 29% exposed
- Port Louis 29% exposed
- Agaléga 29% exposed