AI & jobs · Country profile

Bhutan

Lower-middle income Capital: Thimphu 20 regions
19%
of jobs are in occupations exposed to generative AI. That's about 74K people.
MODEL135th of 183 most exposed World 21%Lower-middle income 16%

Key numbers

Workers in exposed jobsMODEL
74K
of 398K in work
Highest-exposure jobsMODEL
2.3%
8,944 people
People in workILO
398K
40% women
UnemploymentWORLD BANK
3.2%
2025
Youth unemploymentWORLD BANK
17.1%
ages 15–24
GDP per capitaWORLD BANK
$4,493
US$, 2025
Internet usersWORLD BANK
91%
of population
AI preparednessIMF
0.44
88th of 165
PopulationWORLD BANK
797K
Tertiary enrolmentWORLD BANK
13%
gross ratio
Vulnerable employmentWORLD BANK
69%
own-account & family workers
Urban populationWORLD BANK
43%

Women and men

MODEL

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

Women: any exposure 19%
Men: any exposure 18%
Women: highest exposure 2.8%
Men: highest exposure 1.9%

Women are +0.7 pts more exposed, mostly because they hold more clerical and administrative jobs.

How it compares

MODEL
Bhutan 19%
Lower-middle income 16%
South Asia 15%
World 21%

AI preparedness

IMF
BhutanLower-middle income average
Digital infrastructure 0.09
Human capital & labour policy 0.12
Innovation & integration 0.09
Regulation & ethics 0.15

IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.44 (0–1 scale).

Exposure vs preparedness

Bhutan 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 Bhutan