AI Job Atlas
AI & jobs · District in Bhutan

Geylegphug

District BT-31
17%
of jobs here are estimated to be exposed to generative AI, below the national 19% (−1.3 pts).
MODEL5th of 20 regions10K exposed workers

Key numbers

PopulationMODEL
≈116K
estimated from area
Share of national populationMODEL
14.5%
2nd largest of 20
People in workMODEL
57.7K
national total × population share
Highest-exposure jobsMODEL
2.0%
national 2.3%
Area
2,195 km²
Settlement patternMODEL
Mixed
0% live in major cities
Mapped towns & cities
0
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.

Geylegphug Bhutan
Agriculture 47.8%
Retail & wholesale 9.7%
Public admin 6.8%
Manufacturing 6.5%
Construction 6.3%
Education 5.6%
Hospitality 5.1%
Transport & logistics 3.8%
Other services 2.3%
Utilities 1.6%
Business services 1.3%
Health & care 1.1%
Finance 0.9%
Mining 0.8%
ICT & software 0.4%

Exposed workers by sector

MODEL
Agriculture 2,108 Retail & wholesale 1,574 Public admin 1,530 Education 1,390 Hospitality 670 Manufacturing 580 Construction 382 Transport & logistics 373

Ranking in Bhutan

MODEL

By modelled AI exposure, out of 20 regions.

2Paro 22% 3Punakha 21% 4Wangdue Phodrang 19% 5Geylegphug 17% 6Pemagatshel 17% 7Samtse 17% 8Chukha 17%
About these estimates. No source publishes AI exposure by region for every country. The model splits Bhutan'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 Bhutan

All of Bhutan →