AI Job Atlas
AI & jobs · Dependency in Mauritius

Agaléga

Dependency MU-AG
29%
of jobs here are estimated to be exposed to generative AI, below the national 30% (−0.7 pts).
MODEL9th of 16 regions1,211 exposed workers

Key numbers

PopulationMODEL
≈12.4K
estimated from area
Share of national populationMODEL
0.7%
16th largest of 16
People in workMODEL
4,173
national total × population share
Highest-exposure jobsMODEL
5.5%
national 5.7%
Area
14 km²
Settlement patternMODEL
Rural
0% live in major cities
Mapped towns & cities
0
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

MODEL

Estimated share of jobs by sector, against the national mix.

Agaléga Mauritius
Retail & wholesale 16.8%
Manufacturing 11.1%
Business services 9.9%
Construction 9.1%
Hospitality 8.7%
Public admin 7.9%
Other services 6.8%
Transport & logistics 6.5%
Education 6.4%
Agriculture 5.5%
Health & care 4.3%
Finance 3.0%
ICT & software 2.6%
Utilities 1.1%
Mining 0.2%

Exposed workers by sector

MODEL
Retail & wholesale 223 Business services 155 Public admin 150 Education 120 Hospitality 90 Manufacturing 77 Health & care 72 Finance 72

Ranking in Mauritius

MODEL

By modelled AI exposure, out of 16 regions.

6Plaines Wilhems 29% 7Rivière du Rempart 29% 8Pamplemousses 29% 9Agaléga 29% 10Port Louis 29% 11Grand Port 29% 12Flacq 29%
About these estimates. No source publishes AI exposure by region for every country. The model splits Mauritius'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 Mauritius

All of Mauritius →