AI Job Atlas
AI & jobs · State in Malaysia

Perlis

State MY-09 Largest city: Kangar
28%
of jobs here are estimated to be exposed to generative AI, below the national 29% (−1.1 pts).
MODEL14th of 16 regions34.9K exposed workers

Key numbers

PopulationWIKIDATA
252K
as of 2017
Share of national populationWIKIDATA
0.7%
14th largest of 16
People in workMODEL
124K
national total × population share
Highest-exposure jobsMODEL
5.5%
national 5.8%
Area
802 km²
314 people per km²
Settlement patternMODEL
Mixed
25% live in major cities
Largest city
Kangar
63.9K (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.

Perlis Malaysia
Retail & wholesale 18.4%
Manufacturing 16.7%
Agriculture 12.2%
Hospitality 10.3%
Construction 7.9%
Business services 7.7%
Education 6.2%
Transport & logistics 4.6%
Public admin 4.5%
Health & care 3.9%
Other services 2.6%
Finance 2.1%
ICT & software 1.2%
Utilities 1.1%
Mining 0.6%

Exposed workers by sector

MODEL
Retail & wholesale 7,686 Business services 3,989 Manufacturing 3,903 Education 3,606 Hospitality 3,501 Public admin 2,720 Health & care 1,991 Finance 1,550

Ranking in Malaysia

MODEL

By modelled AI exposure, out of 16 regions.

10Kedah 29% 11Kuala Lumpur 29% 12Selangor 28% 13Kelantan 28% 14Perlis 28% 15Pahang 28% 16Labuan 23%
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 →