AI Job Atlas
AI & jobs · Province in South Africa

Free State

Province ZA-FS Capital region Largest city: Bloemfontein
27%
of jobs here are estimated to be exposed to generative AI, above the national 27% (+0.4 pts).
MODEL3rd of 9 regions238K exposed workers

Key numbers

PopulationWIKIDATA
3M
as of 2022
Share of national populationWIKIDATA
4.8%
8th largest of 9
People in workMODEL
868K
national total × population share
Highest-exposure jobsMODEL
6.3%
national 6.1%
Area
130K km²
23 people per km²
Settlement patternMODEL
Urban
37% live in major cities
Largest city
Bloemfontein
463K (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.

Free State South Africa
Retail & wholesale 17.0%
Business services 12.0%
Other services 10.8%
Manufacturing 9.8%
Health & care 9.0%
Construction 7.7%
Transport & logistics 7.6%
Education 6.1%
Public admin 4.7%
Hospitality 3.9%
Agriculture 3.6%
Mining 2.6%
Finance 2.6%
ICT & software 1.9%
Utilities 0.7%

Exposed workers by sector

MODEL
Retail & wholesale 45.9K Business services 32.8K Health & care 29.7K Education 21.5K Public admin 19.5K Other services 19.3K Transport & logistics 14.9K Finance 13.8K

Ranking in South Africa

MODEL

By modelled AI exposure, out of 9 regions.

1Gauteng 29% 2Western Cape 28% 3Free State 27% 4KwaZulu-Natal 27% 5Eastern Cape 27% 6North West 26% 7Northern Cape 25%
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 →