AI Job Atlas
AI & jobs · Province in Thailand

Amnat Charoen

Province TH-37
14%
of jobs here are estimated to be exposed to generative AI, below the national 20% (−6.1 pts).
MODEL77th of 77 regions31.4K exposed workers

Key numbers

PopulationWIKIDATA
375K
as of 2014
Share of national populationWIKIDATA
0.6%
65th largest of 77
People in workMODEL
231K
national total × population share
Highest-exposure jobsMODEL
1.7%
national 3.0%
Area
3,946 km²
95 people per km²
Settlement patternMODEL
Very 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.

Amnat Charoen Thailand
Agriculture 60.6%
Manufacturing 10.1%
Retail & wholesale 9.6%
Hospitality 4.8%
Construction 3.5%
Transport & logistics 2.4%
Other services 2.3%
Public admin 2.0%
Education 1.7%
Health & care 1.1%
Business services 1.1%
Utilities 0.3%
Finance 0.3%
Mining 0.1%
ICT & software 0.1%

Exposed workers by sector

MODEL
Agriculture 10K Retail & wholesale 6,471 Manufacturing 3,240 Hospitality 2,658 Public admin 1,913 Education 1,740 Other services 1,214 Health & care 984

Ranking in Thailand

MODEL

By modelled AI exposure, out of 77 regions.

71Phang Nga 16% 72Mae Hong Son 15% 73Sukhothai 15% 74Nong Bua Lam Phu 14% 75Bueng Kan 14% 76Mukdahan 14% 77Amnat Charoen 14%
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 →