AI Job Atlas
AI & jobs · Province in South Africa

Northern Cape

Province ZA-NC Largest city: Kimberley
25%
of jobs here are estimated to be exposed to generative AI, below the national 27% (−1.8 pts).
MODEL7th of 9 regions100K exposed workers

Key numbers

PopulationWIKIDATA
1.4M
as of 2022
Share of national populationWIKIDATA
2.2%
9th largest of 9
People in workMODEL
397K
national total × population share
Highest-exposure jobsMODEL
5.5%
national 6.1%
Area
373K km²
4 people per km²
Settlement patternMODEL
Rural
24% live in major cities
Largest city
Kimberley
165K (metro)
Mapped towns & cities
10
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.

Northern Cape South Africa
Retail & wholesale 16.5%
Other services 10.5%
Manufacturing 10.5%
Agriculture 9.4%
Health & care 8.8%
Construction 8.0%
Business services 7.7%
Transport & logistics 7.6%
Education 6.4%
Public admin 4.0%
Hospitality 3.8%
Mining 3.5%
Finance 1.5%
ICT & software 1.0%
Utilities 0.7%

Exposed workers by sector

MODEL
Retail & wholesale 20.4K Health & care 13.2K Education 10.4K Business services 9,620 Other services 8,586 Public admin 7,538 Transport & logistics 6,800 Manufacturing 6,663

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 →