AI & jobs · Province in South Africa

Gauteng

Province ZA-GT Capital region Largest city: Johannesburg
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

ANTHROPIC

Claude.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

MODEL

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

Gauteng South Africa
Business services 16.9%
Retail & wholesale 16.2%
Other services 10.3%
Health & care 8.6%
Manufacturing 8.5%
Transport & logistics 7.1%
Construction 7.0%
Education 5.4%
Public admin 5.2%
Finance 4.1%
Hospitality 3.8%
ICT & software 3.1%
Mining 1.9%
Agriculture 1.3%
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 →