AI Job Atlas
AI & jobs · Province in Thailand

Sa Kaeo

Province TH-27 Largest city: Aranyaprathet
17%
of jobs here are estimated to be exposed to generative AI, below the national 20% (−3.0 pts).
MODEL66th of 77 regions57.7K exposed workers

Key numbers

PopulationWIKIDATA
561K
as of 2020
Share of national populationWIKIDATA
0.9%
44th largest of 77
People in workMODEL
345K
national total × population share
Highest-exposure jobsMODEL
2.4%
national 3.0%
Area
7,110 km²
79 people per km²
Settlement patternMODEL
Rural
4% live in major cities
Largest city
Aranyaprathet
22.5K (metro)
Mapped towns & cities
1
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.

Sa Kaeo Thailand
Agriculture 43.1%
Retail & wholesale 13.9%
Manufacturing 13.7%
Hospitality 7.0%
Construction 4.9%
Transport & logistics 3.4%
Other services 3.3%
Public admin 3.2%
Education 2.4%
Business services 2.1%
Health & care 1.7%
Finance 0.6%
Utilities 0.4%
ICT & software 0.2%
Mining 0.2%

Exposed workers by sector

MODEL
Retail & wholesale 14.1K Agriculture 10.7K Manufacturing 6,564 Hospitality 5,773 Public admin 4,588 Education 3,559 Other services 2,637 Business services 2,400

Ranking in Thailand

MODEL

By modelled AI exposure, out of 77 regions.

63Phetchabun 17% 64Yasothon 17% 65Phayao 17% 66Sa Kaeo 17% 67Si Sa Ket 17% 68Roi Et 17% 69Lamphun 17%
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 →