AI Job Atlas
AI & jobs · Province in South Africa

Limpopo

Province ZA-LP Largest city: Thohoyandou
24%
of jobs here are estimated to be exposed to generative AI, below the national 27% (−3.2 pts).
MODEL9th of 9 regions459K exposed workers

Key numbers

PopulationWIKIDATA
6.6M
as of 2022
Share of national populationWIKIDATA
10.7%
5th largest of 9
People in workMODEL
1.9M
national total × population share
Highest-exposure jobsMODEL
5.1%
national 6.1%
Area
126K km²
52 people per km²
Settlement patternMODEL
Very rural
9% live in major cities
Largest city
Thohoyandou
270K (metro)
Mapped towns & cities
5
Natural Earth places

AI use

The Anthropic Economic Index does not publish usage for this region. Regions below a minimum number of sampled conversations are left out.

Sector mix

MODEL

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

Limpopo South Africa
Retail & wholesale 15.7%
Agriculture 14.4%
Manufacturing 10.4%
Other services 10.0%
Health & care 8.4%
Construction 7.8%
Transport & logistics 7.3%
Education 6.4%
Business services 6.0%
Mining 3.8%
Hospitality 3.6%
Public admin 3.6%
Finance 1.1%
Utilities 0.7%
ICT & software 0.7%

Exposed workers by sector

MODEL
Retail & wholesale 94.1K Health & care 60.9K Education 49.9K Other services 39.6K Business services 36.4K Public admin 32.5K Manufacturing 32.2K Transport & logistics 31.8K

Ranking in South Africa

MODEL

By modelled AI exposure, out of 9 regions.

3Free State 27% 4KwaZulu-Natal 27% 5Eastern Cape 27% 6North West 26% 7Northern Cape 25% 8Mpumalanga 25% 9Limpopo 24%
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 →