AI Job Atlas
AI & jobs · Province in Thailand

Si Sa Ket

Province TH-33 Largest city: Sisaket
17%
of jobs here are estimated to be exposed to generative AI, below the national 20% (−3.1 pts).
MODEL67th of 77 regions149K exposed workers

Key numbers

PopulationWIKIDATA
1.5M
as of 2020
Share of national populationWIKIDATA
2.2%
9th largest of 77
People in workMODEL
897K
national total × population share
Highest-exposure jobsMODEL
2.3%
national 3.0%
Area
8,883 km²
164 people per km²
Settlement patternMODEL
Rural
3% live in major cities
Largest city
Sisaket
44.8K (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.

Si Sa Ket Thailand
Agriculture 43.9%
Retail & wholesale 13.7%
Manufacturing 13.5%
Hospitality 6.9%
Construction 4.8%
Transport & logistics 3.3%
Other services 3.3%
Public admin 3.1%
Education 2.4%
Business services 2.1%
Health & care 1.6%
Finance 0.5%
Utilities 0.4%
ICT & software 0.2%
Mining 0.2%

Exposed workers by sector

MODEL
Retail & wholesale 36K Agriculture 28.3K Manufacturing 16.9K Hospitality 14.8K Public admin 11.7K Education 9,150 Other services 6,760 Business services 6,070

Ranking in Thailand

MODEL

By modelled AI exposure, out of 77 regions.

64Yasothon 17% 65Phayao 17% 66Sa Kaeo 17% 67Si Sa Ket 17% 68Roi Et 17% 69Lamphun 17% 70Buri Ram 16%
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

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