AI Job Atlas
AI & jobs · State in Malaysia

Kedah

State MY-02 Largest city: Sungai Petani
29%
of jobs here are estimated to be exposed to generative AI, below the national 29% (−0.3 pts).
MODEL10th of 16 regions305K exposed workers

Key numbers

PopulationWIKIDATA
2.1M
as of 2020
Share of national populationWIKIDATA
5.8%
7th largest of 16
People in workMODEL
1.1M
national total × population share
Highest-exposure jobsMODEL
5.7%
national 5.8%
Area
9,170 km²
232 people per km²
Settlement patternMODEL
Mixed
33% live in major cities
Largest city
Sungai Petani
358K (metro)
Mapped towns & cities
2
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.

Kedah Malaysia
Retail & wholesale 18.8%
Manufacturing 16.6%
Hospitality 10.5%
Agriculture 9.8%
Business services 8.6%
Construction 7.9%
Education 6.2%
Public admin 4.7%
Transport & logistics 4.7%
Health & care 4.0%
Other services 2.7%
Finance 2.4%
ICT & software 1.4%
Utilities 1.1%
Mining 0.5%

Exposed workers by sector

MODEL
Retail & wholesale 66.4K Business services 38.1K Manufacturing 32.9K Education 30.5K Hospitality 30.2K Public admin 24.3K Health & care 17.2K Finance 15.2K

Ranking in Malaysia

MODEL

By modelled AI exposure, out of 16 regions.

7Terengganu 30% 8Negeri Sembilan 29% 9Sabah 29% 10Kedah 29% 11Kuala Lumpur 29% 12Selangor 28% 13Kelantan 28%
About these estimates. No source publishes AI exposure by region for every country. The model splits Malaysia'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 Malaysia

All of Malaysia →