AI & jobs · Country profile
Papua New Guinea
19%
of jobs are in occupations exposed to generative AI. That's about 710K people.
MODEL128th of 183 most exposed
World 21%Lower-middle income 16%
Key numbers
Workers in exposed jobsMODEL
710K
of 3.7M in work
Highest-exposure jobsMODEL
2.0%
73.7K people
People in workILO
3.7M
48% women
UnemploymentWORLD BANK
2.6%
2025
Youth unemploymentWORLD BANK
3.8%
ages 15–24
GDP per capitaWORLD BANK
$3,020
US$, 2025
Internet usersWORLD BANK
19%
of population
AI preparednessIMF
0.29
149th of 165
PopulationWORLD BANK
10.8M
Tertiary enrolmentWORLD BANK
2%
gross ratio
Vulnerable employmentWORLD BANK
71%
own-account & family workers
Urban populationWORLD BANK
16%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Women are +2.1 pts more exposed, mostly because they hold more clerical and administrative jobs.
How it compares
MODELAI preparedness
IMFPapua New GuineaLower-middle income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.29 (0–1 scale).
Exposure vs preparedness
Papua New Guinea is highlighted. The other dots are all countries with both measures.
Sources: ILO modelled estimates 2025 · World Bank WDI · IMF AIPI · Anthropic Economic Index · Wikidata · Natural Earth. How the estimates are made.
Regions of Papua New Guinea
- Western 17% exposed
- 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