AI & jobs · State in Malaysia
Selangor
28%
of jobs here are estimated to be exposed to generative AI, below the national 29% (−0.8 pts).
MODEL12th of 16 regions761K exposed workers
Key numbers
PopulationWIKIDATA
5.4M
as of 2010
Share of national populationWIKIDATA
14.8%
2nd largest of 16
People in workMODEL
2.7M
national total × population share
Highest-exposure jobsMODEL
5.6%
national 5.8%
Area
7,764 km²
697 people per km²
Settlement patternMODEL
Mixed
27% live in major cities
Largest city
Kelang
956K (metro)
Mapped towns & cities
2
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
3.12×
usage share ÷ population share
Share of national useANTHROPIC
46.3%
14.8% of population
Work-relatedANTHROPIC
49%
national 47%
Automation-styleANTHROPIC
48%
national 48%
Augmentation 52%Automation 48%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Selangor
Malaysia
Exposed workers by sector
MODELRanking in Malaysia
MODELBy modelled AI exposure, out of 16 regions.
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
- Kuala Lumpur 29% exposed
- Sabah 29% exposed
- Johor 30% exposed
- Sarawak 30% exposed
- Perak 30% exposed
- Kedah 29% exposed
- Kelantan 28% exposed
- Penang 33% exposed
- Pahang 28% exposed
- Terengganu 30% exposed
- Melaka 32% exposed
- Negeri Sembilan 29% exposed
- Perlis 28% exposed
- Putrajaya 31% exposed
- Labuan 23% exposed