AI & jobs · Province in Papua New Guinea
Western
17%
of jobs here are estimated to be exposed to generative AI, below the national 19% (−2.7 pts).
MODEL19th of 20 regions130K exposed workers
Key numbers
PopulationMODEL
≈2.3M
estimated from area
Share of national populationMODEL
21.3%
1st largest of 20
People in workMODEL
779K
national total × population share
Highest-exposure jobsMODEL
1.6%
national 2.0%
Area
100K 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.
Western
Papua New Guinea
Exposed workers by sector
MODELRanking in Papua New Guinea
MODELBy modelled AI exposure, out of 20 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Papua New Guinea'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 Papua New Guinea
- Sandaun 17% exposed
- Morobe 23% exposed
- Madang 22% exposed
- Central 17% exposed
- Eastern Highlands 22% exposed
- Enga 17% exposed
- Oro 20% exposed
- Southern Highlands 20% exposed
- West New Britain 20% exposed
- East Sepik 20% exposed
- Chimbu 20% exposed
- of Bougainville 23% exposed
- East New Britain 19% exposed
- Port Moresby 26% exposed
- Milne Bay 20% exposed
- New Ireland 22% exposed
- Western Highlands 24% exposed
- Gulf 18% exposed
- Manus 22% exposed