AI Job Atlas
AI & jobs · Province in Thailand

Nong Bua Lam Phu

Province TH-39
14%
of jobs here are estimated to be exposed to generative AI, below the national 20% (−6.0 pts).
MODEL74th of 77 regions42.9K exposed workers

Key numbers

PopulationWIKIDATA
509K
as of 2020
Share of national populationWIKIDATA
0.8%
53rd largest of 77
People in workMODEL
313K
national total × population share
Highest-exposure jobsMODEL
1.7%
national 3.0%
Area
4,259 km²
120 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.

Nong Bua Lam Phu Thailand
Agriculture 60.1%
Manufacturing 10.2%
Retail & wholesale 9.7%
Hospitality 4.9%
Construction 3.6%
Transport & logistics 2.4%
Other services 2.3%
Public admin 2.0%
Education 1.8%
Health & care 1.2%
Business services 1.1%
Utilities 0.3%
Finance 0.3%
Mining 0.1%
ICT & software 0.1%

Exposed workers by sector

MODEL
Agriculture 13.5K Retail & wholesale 8,899 Manufacturing 4,446 Hospitality 3,656 Public admin 2,639 Education 2,388 Other services 1,670 Health & care 1,353

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

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