AI & jobs · State in Malaysia
Sarawak
30%
of jobs here are estimated to be exposed to generative AI, above the national 29% (+0.4 pts).
MODEL6th of 16 regions359K exposed workers
Key numbers
PopulationWIKIDATA
2.5M
as of 2020
Share of national populationWIKIDATA
6.7%
5th largest of 16
People in workMODEL
1.2M
national total × population share
Highest-exposure jobsMODEL
5.9%
national 5.8%
Area
123K km²
20 people per km²
Settlement patternMODEL
Mixed
47% live in major cities
Largest city
Kuching
570K (metro)
Mapped towns & cities
4
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
0.91×
usage share ÷ population share
Share of national useANTHROPIC
6.1%
6.7% of population
Work-relatedANTHROPIC
35%
national 47%
Automation-styleANTHROPIC
45%
national 48%
Augmentation 55%Automation 45%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Sarawak
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
- Selangor 28% exposed
- Sabah 29% exposed
- Johor 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