AI Job Atlas
AI & jobs · Province in Thailand

Nakhon Sawan

Province TH-60 Largest city: Nakhon Sawan
19%
of jobs here are estimated to be exposed to generative AI, below the national 20% (−0.5 pts).
MODEL37th of 77 regions127K exposed workers

Key numbers

PopulationWIKIDATA
1.1M
as of 2014
Share of national populationWIKIDATA
1.6%
20th largest of 77
People in workMODEL
660K
national total × population share
Highest-exposure jobsMODEL
2.9%
national 3.0%
Area
9,794 km²
110 people per km²
Settlement patternMODEL
Mixed
10% live in major cities
Largest city
Nakhon Sawan
112K (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.

Nakhon Sawan Thailand
Agriculture 30.0%
Retail & wholesale 17.1%
Manufacturing 15.9%
Hospitality 8.6%
Construction 5.9%
Public admin 4.2%
Other services 4.1%
Transport & logistics 4.1%
Business services 3.3%
Education 2.8%
Health & care 2.1%
Finance 0.9%
Utilities 0.5%
ICT & software 0.3%
Mining 0.2%

Exposed workers by sector

MODEL
Retail & wholesale 33.1K Manufacturing 14.6K Agriculture 14.2K Hospitality 13.6K Public admin 11.7K Education 7,992 Business services 7,174 Other services 6,210

Ranking in Thailand

MODEL

By modelled AI exposure, out of 77 regions.

34Sing Buri 20% 35Satun 19% 36Ranong 19% 37Nakhon Sawan 19% 38Narathiwat 19% 39Chiang Rai 19% 40Phatthalung 19%
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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