AI Job Atlas
AI & jobs · Province in Thailand

Buri Ram

Province TH-31 Largest city: Buriram
16%
of jobs here are estimated to be exposed to generative AI, below the national 20% (−3.3 pts).
MODEL70th of 77 regions160K exposed workers

Key numbers

PopulationWIKIDATA
1.6M
as of 2020
Share of national populationWIKIDATA
2.4%
6th largest of 77
People in workMODEL
972K
national total × population share
Highest-exposure jobsMODEL
2.3%
national 3.0%
Area
10.2K km²
155 people per km²
Settlement patternMODEL
Rural
3% live in major cities
Largest city
Buriram
47.3K (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.

Buri Ram Thailand
Agriculture 44.5%
Retail & wholesale 13.6%
Manufacturing 13.4%
Hospitality 6.8%
Construction 4.8%
Transport & logistics 3.3%
Other services 3.2%
Public admin 3.1%
Education 2.3%
Business services 2.0%
Health & care 1.6%
Finance 0.5%
Utilities 0.4%
ICT & software 0.2%
Mining 0.2%

Exposed workers by sector

MODEL
Retail & wholesale 38.7K Agriculture 31.1K Manufacturing 18.2K Hospitality 15.9K Public admin 12.5K Education 9,839 Other services 7,256 Business services 6,454

Ranking in Thailand

MODEL

By modelled AI exposure, out of 77 regions.

67Si Sa Ket 17% 68Roi Et 17% 69Lamphun 17% 70Buri Ram 16% 71Phang Nga 16% 72Mae Hong Son 15% 73Sukhothai 15%
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 →