AI Job Atlas
AI & jobs · Country profile

Nepal

Lower-middle income Capital: Kathmandu 14 regions
20%
of jobs are in occupations exposed to generative AI. That's about 1.5M people.
MODEL124th of 183 most exposed World 21%Lower-middle income 16%

Key numbers

Workers in exposed jobsMODEL
1.5M
of 7.5M in work
Highest-exposure jobsMODEL
2.9%
215K people
People in workILO
7.5M
37% women
UnemploymentWORLD BANK
10.5%
2025
Youth unemploymentWORLD BANK
20.6%
ages 15–24
GDP per capitaWORLD BANK
$1,536
US$, 2025
Internet usersWORLD BANK
46%
of population
AI preparednessIMF
0.35
127th of 165
PopulationWORLD BANK
29.6M
Tertiary enrolmentWORLD BANK
21%
gross ratio
Vulnerable employmentWORLD BANK
77%
own-account & family workers
Urban populationWORLD BANK
67%

Women and men

MODEL

Based on the real occupation mix of women’s and men’s jobs (ILO).

Women: any exposure 22%
Men: any exposure 19%
Women: highest exposure 2.9%
Men: highest exposure 2.9%

Women are +2.7 pts more exposed, mostly because they hold more clerical and administrative jobs.

How it compares

MODEL
Nepal 20%
Lower-middle income 16%
South Asia 15%
World 21%

AI preparedness

IMF
NepalLower-middle income average
Digital infrastructure 0.08
Human capital & labour policy 0.10
Innovation & integration 0.09
Regulation & ethics 0.09

IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.35 (0–1 scale).

Exposure vs preparedness

Nepal 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 Nepal