AI & jobs · Province in South Africa

Western Cape

Province ZA-WC Capital region Largest city: Cape Town
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

ANTHROPIC

Claude.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

MODEL

Estimated share of jobs by sector, against the national mix.

Western Cape South Africa
Retail & wholesale 16.7%
Business services 14.5%
Other services 10.6%
Manufacturing 9.2%
Health & care 8.9%
Construction 7.4%
Transport & logistics 7.3%
Education 5.7%
Public admin 5.0%
Hospitality 3.9%
Finance 3.4%
ICT & software 2.5%
Mining 2.2%
Agriculture 2.1%
Utilities 0.6%

Exposed workers by sector

MODEL

Ranking in South Africa

MODEL

By 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

All of South Africa →