AI & jobs · Province in South Africa
Western Cape
28%
of jobs here are estimated to be exposed to generative AI, above the national 27% (+1.4 pts).
MODEL2nd of 9 regions591K exposed workers
Key numbers
PopulationWIKIDATA
7.1M
as of 2021
Share of national populationWIKIDATA
11.5%
4th largest of 9
People in workMODEL
2.1M
national total × population share
Highest-exposure jobsMODEL
6.6%
national 6.1%
Area
130K km²
55 people per km²
Settlement patternMODEL
Urban
57% live in major cities
Largest city
Cape Town
3.2M (metro)
Mapped towns & cities
13
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
2.73×
usage share ÷ population share
Share of national useANTHROPIC
31.5%
11.5% of population
Work-relatedANTHROPIC
49%
national 45%
Automation-styleANTHROPIC
50%
national 51%
Augmentation 50%Automation 50%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Western Cape
South Africa
Exposed workers by sector
MODELRanking in South Africa
MODELBy modelled AI exposure, out of 9 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits South Africa'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 South Africa
- Gauteng 29% exposed
- KwaZulu-Natal 27% exposed
- Eastern Cape 27% exposed
- Limpopo 24% exposed
- Mpumalanga 25% exposed
- North West 26% exposed
- Free State 27% exposed
- Northern Cape 25% exposed