AI & jobs · District in Mauritius
Plaines Wilhems
29%
of jobs here are estimated to be exposed to generative AI, below the national 30% (−0.3 pts).
MODEL6th of 16 regions38.1K exposed workers
Key numbers
PopulationWIKIDATA
385K
Share of national populationWIKIDATA
21.6%
1st largest of 16
People in workMODEL
129K
national total × population share
Highest-exposure jobsMODEL
5.6%
national 5.7%
Area
143 km²
2,693 people per km²
Settlement patternMODEL
Mixed
0% live in major cities
Mapped towns & cities
0
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
1.99×
usage share ÷ population share
Share of national useANTHROPIC
43.1%
21.6% of population
Work-relatedANTHROPIC
54%
national 51%
Automation-styleANTHROPIC
51%
national 50%
Augmentation 49%Automation 51%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Plaines Wilhems
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
- 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