AI Job Atlas
AI & jobs · District in Bhutan

Samtse

District BT-14
17%
of jobs here are estimated to be exposed to generative AI, below the national 19% (−1.7 pts).
MODEL7th of 20 regions5,290 exposed workers

Key numbers

PopulationWIKIDATA
62.6K
as of 2017
Share of national populationWIKIDATA
7.9%
4th largest of 20
People in workMODEL
31.3K
national total × population share
Highest-exposure jobsMODEL
1.9%
national 2.3%
Area
1,692 km²
37 people per km²
Settlement patternMODEL
Rural
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.

Samtse Bhutan
Agriculture 49.9%
Retail & wholesale 9.3%
Public admin 6.4%
Manufacturing 6.3%
Construction 6.1%
Education 5.4%
Hospitality 4.9%
Transport & logistics 3.7%
Other services 2.2%
Utilities 1.5%
Business services 1.2%
Health & care 1.1%
Finance 0.8%
Mining 0.7%
ICT & software 0.4%

Exposed workers by sector

MODEL
Agriculture 1,191 Retail & wholesale 820 Public admin 788 Education 729 Hospitality 349 Manufacturing 304 Construction 200 Transport & logistics 194

Ranking in Bhutan

MODEL

By modelled AI exposure, out of 20 regions.

4Wangdue Phodrang 19% 5Geylegphug 17% 6Pemagatshel 17% 7Samtse 17% 8Chukha 17% 9Tsirang 17% 10Trashigang 16%
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 →