AI & jobs · Province in South Africa
Gauteng
29%
of jobs here are estimated to be exposed to generative AI, above the national 27% (+2.1 pts).
MODEL1st of 9 regions1.3M exposed workers
Key numbers
PopulationWIKIDATA
15.1M
as of 2022
Share of national populationWIKIDATA
24.5%
1st largest of 9
People in workMODEL
4.4M
national total × population share
Highest-exposure jobsMODEL
6.9%
national 6.1%
Area
18.2K km²
827 people per km²
Settlement patternMODEL
Highly urban
60% live in major cities
Largest city
Johannesburg
3.4M (metro)
Mapped towns & cities
5
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
2.17×
usage share ÷ population share
Share of national useANTHROPIC
53.0%
24.5% of population
Work-relatedANTHROPIC
45%
national 45%
Automation-styleANTHROPIC
52%
national 51%
Augmentation 48%Automation 52%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Gauteng
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
- KwaZulu-Natal 27% exposed
- Eastern Cape 27% exposed
- Western Cape 28% exposed
- Limpopo 24% exposed
- Mpumalanga 25% exposed
- North West 26% exposed
- Free State 27% exposed
- Northern Cape 25% exposed