AI Job Atlas
AI & jobs · Province in Thailand

Tak

Province TH-63 Largest city: Mae Sot
19%
of jobs here are estimated to be exposed to generative AI, below the national 20% (−0.8 pts).
MODEL42nd of 77 regions77.9K exposed workers

Key numbers

PopulationWIKIDATA
670K
as of 2020
Share of national populationWIKIDATA
1.0%
39th largest of 77
People in workMODEL
412K
national total × population share
Highest-exposure jobsMODEL
2.8%
national 3.0%
Area
16.4K km²
41 people per km²
Settlement patternMODEL
Mixed
12% live in major cities
Largest city
Mae Sot
45.8K (metro)
Mapped towns & cities
2
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.

Tak Thailand
Agriculture 31.8%
Retail & wholesale 16.7%
Manufacturing 15.7%
Hospitality 8.4%
Construction 5.7%
Public admin 4.1%
Other services 4.0%
Transport & logistics 4.0%
Business services 3.1%
Education 2.8%
Health & care 2.0%
Finance 0.9%
Utilities 0.5%
ICT & software 0.3%
Mining 0.2%

Exposed workers by sector

MODEL
Retail & wholesale 20.1K Agriculture 9,416 Manufacturing 8,972 Hospitality 8,273 Public admin 7,034 Education 4,899 Business services 4,212 Other services 3,779

Ranking in Thailand

MODEL

By modelled AI exposure, out of 77 regions.

39Chiang Rai 19% 40Phatthalung 19% 41Trat 19% 42Tak 19% 43Nakhon Nayok 19% 44Nakhon Phanom 19% 45Lopburi 19%
About these estimates. No source publishes AI exposure by region for every country. The model splits Thailand'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 Thailand

All of Thailand →