AI Job Atlas
AI & jobs · District in Mauritius

Moka

District MU-MO
29%
of jobs here are estimated to be exposed to generative AI, below the national 30% (−1.0 pts).
MODEL14th of 16 regions7,836 exposed workers

Key numbers

PopulationWIKIDATA
81.3K
Share of national populationWIKIDATA
4.6%
10th largest of 16
People in workMODEL
27.3K
national total × population share
Highest-exposure jobsMODEL
5.4%
national 5.7%
Area
207 km²
393 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

MODEL

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

Moka Mauritius
Retail & wholesale 16.8%
Manufacturing 11.3%
Business services 9.4%
Construction 9.2%
Hospitality 8.7%
Public admin 7.7%
Other services 6.8%
Transport & logistics 6.6%
Education 6.4%
Agriculture 6.3%
Health & care 4.3%
Finance 2.8%
ICT & software 2.4%
Utilities 1.1%
Mining 0.2%

Exposed workers by sector

MODEL
Retail & wholesale 1,457 Public admin 968 Business services 965 Education 796 Hospitality 591 Manufacturing 512 Health & care 473 Other services 468

Ranking in Mauritius

MODEL

By modelled AI exposure, out of 16 regions.

10Port Louis 29% 11Grand Port 29% 12Flacq 29% 13Rodrigues 29% 14Moka 29% 15Savanne 29% 16Rivière Noire 28%
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 →