AI & jobs · City in Mauritius
Port Louis city
34%
of jobs here are estimated to be exposed to generative AI, above the national 30% (+4.0 pts).
MODEL1st of 16 regions16.9K exposed workers
Key numbers
PopulationWIKIDATA
149K
as of 2012
Share of national populationWIKIDATA
8.4%
3rd largest of 16
People in workMODEL
50.1K
national total × population share
Highest-exposure jobsMODEL
6.8%
national 5.7%
Area
15 km²
9,946 people per km²
Settlement patternMODEL
Highly urban
100% live in major cities
Largest city
Port Louis
595K (metro)
Mapped towns & cities
1
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
4.14×
usage share ÷ population share
Share of national useANTHROPIC
42.8%
8.4% of population
Work-relatedANTHROPIC
46%
national 51%
Automation-styleANTHROPIC
46%
national 50%
Augmentation 54%Automation 46%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Port Louis city
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
- 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