AI Job Atlas
AI & jobs · Province in Thailand

Yala

Province TH-95 Largest city: Yala
21%
of jobs here are estimated to be exposed to generative AI, above the national 20% (+1.7 pts).
MODEL8th of 77 regions70.8K exposed workers

Key numbers

PopulationWIKIDATA
539K
as of 2020
Share of national populationWIKIDATA
0.8%
47th largest of 77
People in workMODEL
331K
national total × population share
Highest-exposure jobsMODEL
3.4%
national 3.0%
Area
4,722 km²
114 people per km²
Settlement patternMODEL
Urban
28% live in major cities
Largest city
Yala
148K (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.

Yala Thailand
Agriculture 20.0%
Retail & wholesale 19.4%
Manufacturing 17.2%
Hospitality 9.8%
Construction 6.5%
Public admin 5.2%
Business services 4.7%
Other services 4.7%
Transport & logistics 4.6%
Education 3.1%
Health & care 2.3%
Finance 1.4%
ICT & software 0.5%
Utilities 0.5%
Mining 0.2%

Exposed workers by sector

MODEL
Retail & wholesale 18.9K Manufacturing 7,922 Hospitality 7,759 Public admin 7,192 Business services 5,116 Agriculture 4,747 Education 4,363 Other services 3,545

Ranking in Thailand

MODEL

By modelled AI exposure, out of 77 regions.

5Chon Buri 22% 6Songkhla 22% 7Pattani 21% 8Yala 21% 9Samut Songkhram 21% 10Trang 21% 11Phra Nakhon Si Ayutthaya 21%
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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