AI & jobs · Dependency in Mauritius
Rodrigues
29%
of jobs here are estimated to be exposed to generative AI, below the national 30% (−1.0 pts).
MODEL13th of 16 regions4,021 exposed workers
Key numbers
PopulationWIKIDATA
41.7K
Share of national populationWIKIDATA
2.3%
14th largest of 16
People in workMODEL
14K
national total × population share
Highest-exposure jobsMODEL
5.4%
national 5.7%
Area
100 km²
417 people per 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
MODELEstimated share of jobs by sector, against the national mix.
Rodrigues
Mauritius
Exposed workers by sector
MODELRanking in Mauritius
MODELBy modelled AI exposure, out of 16 regions.
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
- 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
- Port Louis 29% exposed
- Agaléga 29% exposed