AI Job Atlas
AI & jobs · Province in Vanuatu

Sanma

Province VU-SAM Largest city: Luganville
21%
of jobs here are estimated to be exposed to generative AI, above the national 19% (+1.4 pts).
MODEL2nd of 6 regions10.5K exposed workers

Key numbers

PopulationMODEL
≈147K
estimated from area
Share of national populationMODEL
43.9%
1st largest of 6
People in workMODEL
50.4K
national total × population share
Highest-exposure jobsMODEL
2.6%
national 2.4%
Area
4,343 km²
Settlement patternMODEL
Urban
9% live in major cities
Largest city
Luganville
13.4K (metro)
Mapped towns & cities
1
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.

Sanma Vanuatu
Agriculture 37.8%
Other services 14.3%
Retail & wholesale 8.1%
Education 6.6%
Construction 6.3%
Business services 4.8%
Transport & logistics 4.8%
Hospitality 4.0%
Manufacturing 4.0%
Public admin 3.4%
Health & care 2.4%
Finance 1.7%
Utilities 0.9%
ICT & software 0.8%
Mining 0.1%

Exposed workers by sector

MODEL
Other services 1,794 Education 1,502 Agriculture 1,394 Retail & wholesale 1,218 Business services 833 Public admin 702 Transport & logistics 571 Hospitality 511

Ranking in Vanuatu

MODEL

By modelled AI exposure, out of 6 regions.

1Shefa 27% 2Sanma 21% 3Penama 16% 4Torba 16% 5Tafea 15% 6Malampa 14%
About these estimates. No source publishes AI exposure by region for every country. The model splits Vanuatu'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 Vanuatu

All of Vanuatu →