AI Job Atlas
AI & jobs · Province in Papua New Guinea

Madang

Province PG-MPM Largest city: Madang
22%
of jobs here are estimated to be exposed to generative AI, above the national 19% (+2.1 pts).
MODEL8th of 20 regions49.8K exposed workers

Key numbers

PopulationMODEL
≈680K
estimated from area
Share of national populationMODEL
6.3%
4th largest of 20
People in workMODEL
231K
national total × population share
Highest-exposure jobsMODEL
2.3%
national 2.0%
Area
29.7K km²
Settlement patternMODEL
Urban
9% live in major cities
Largest city
Madang
62K (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.

Madang Papua New Guinea
Retail & wholesale 40.3%
Agriculture 26.5%
Education 7.8%
Construction 4.8%
Business services 4.4%
Transport & logistics 2.9%
Other services 2.8%
Public admin 2.8%
Mining 2.2%
Health & care 2.1%
Manufacturing 1.4%
Finance 0.7%
Hospitality 0.7%
Utilities 0.4%
ICT & software 0.3%

Exposed workers by sector

MODEL
Retail & wholesale 24.8K Education 7,839 Agriculture 4,192 Business services 2,776 Public admin 2,415 Health & care 1,751 Other services 1,287 Transport & logistics 1,017

Ranking in Papua New Guinea

MODEL

By modelled AI exposure, out of 20 regions.

5Manus 22% 6Eastern Highlands 22% 7New Ireland 22% 8Madang 22% 9Oro 20% 10Southern Highlands 20% 11West New Britain 20%
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

All of Papua New Guinea →