AI & jobs · Country profile
Bhutan
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
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Women are +0.7 pts more exposed, mostly because they hold more clerical and administrative jobs.
How it compares
MODELAI preparedness
IMFBhutanLower-middle income average
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
- Thimphu 25% exposed
- Geylegphug 17% exposed
- Chukha 17% exposed
- Samtse 17% exposed
- Paro 22% exposed
- Trashigang 16% exposed
- Wangdue Phodrang 19% exposed
- Mongar 16% exposed
- Samdrup Jongkhar 16% exposed
- Punakha 21% exposed
- Dagana 16% exposed
- Pemagatshel 17% exposed
- Tsirang 17% exposed
- Trongsa 16% exposed
- Bumthang 15% exposed
- Zhemgang 15% exposed
- Trashiyangtse 15% exposed
- Lhuntse 15% exposed
- Haa 15% exposed
- Gasa 13% exposed