AI Job Atlas
AI & jobs · District in Botswana

Southern

District BW-SO Largest city: Kanye
22%
of jobs here are estimated to be exposed to generative AI, above the national 21% (+0.5 pts).
MODEL7th of 15 regions16.5K exposed workers

Key numbers

PopulationWIKIDATA
216K
as of 2011
Share of national populationWIKIDATA
8.4%
6th largest of 15
People in workMODEL
76.3K
national total × population share
Highest-exposure jobsMODEL
3.0%
national 2.9%
Area
27K km²
8 people per km²
Settlement patternMODEL
Mixed
22% live in major cities
Largest city
Kanye
46.8K (metro)
Mapped towns & cities
1
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.

Southern Botswana
Public admin 17.3%
Agriculture 15.2%
Retail & wholesale 14.6%
Business services 8.8%
Education 7.7%
Other services 7.5%
Construction 7.1%
Manufacturing 6.7%
Hospitality 4.5%
Health & care 3.6%
Transport & logistics 2.7%
Mining 1.3%
Utilities 1.2%
Finance 1.0%
ICT & software 0.8%

Exposed workers by sector

MODEL
Public admin 4,516 Retail & wholesale 2,813 Education 2,154 Business services 1,477 Other services 983 Health & care 887 Agriculture 788 Hospitality 656

Ranking in Botswana

MODEL

By modelled AI exposure, out of 15 regions.

4Kgatleng 22% 5North-West 22% 6Kweneng 22% 7Southern 22% 8Central 22% 9Kgalagadi 21% 10Ghanzi 21%
About these estimates. No source publishes AI exposure by region for every country. The model splits Botswana'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 Botswana

All of Botswana →