AI Job Atlas
AI & jobs · Province in Thailand

Samut Sakhon

Province TH-74 Largest city: Samut Sakhon
21%
of jobs here are estimated to be exposed to generative AI, above the national 20% (+0.9 pts).
MODEL16th of 77 regions67.6K exposed workers

Key numbers

PopulationWIKIDATA
532K
as of 2014
Share of national populationWIKIDATA
0.8%
50th largest of 77
People in workMODEL
327K
national total × population share
Highest-exposure jobsMODEL
3.3%
national 3.0%
Area
846 km²
629 people per km²
Settlement patternMODEL
Mixed
12% live in major cities
Largest city
Samut Sakhon
63.5K (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.

Samut Sakhon Thailand
Agriculture 23.3%
Retail & wholesale 18.7%
Manufacturing 16.9%
Hospitality 9.4%
Construction 6.3%
Public admin 4.8%
Other services 4.5%
Transport & logistics 4.4%
Business services 4.2%
Education 3.0%
Health & care 2.2%
Finance 1.2%
Utilities 0.5%
ICT & software 0.5%
Mining 0.2%

Exposed workers by sector

MODEL
Retail & wholesale 17.9K Manufacturing 7,663 Hospitality 7,367 Public admin 6,648 Agriculture 5,461 Business services 4,484 Education 4,209 Other services 3,365

Ranking in Thailand

MODEL

By modelled AI exposure, out of 77 regions.

13Lampang 21% 14Nong Khai 21% 15Chiang Mai 21% 16Samut Sakhon 21% 17Nakhon Pathom 21% 18Nakhon Si Thammarat 21% 19Chanthaburi 20%
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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