AI & jobs · District in Botswana
North-West
22%
of jobs here are estimated to be exposed to generative AI, above the national 21% (+0.7 pts).
MODEL5th of 15 regions11.8K exposed workers
Key numbers
PopulationWIKIDATA
152K
as of 2011
Share of national populationWIKIDATA
5.9%
7th largest of 15
People in workMODEL
53.8K
national total × population share
Highest-exposure jobsMODEL
3.0%
national 2.9%
Area
134K km²
1 people per km²
Settlement patternMODEL
Mixed
42% live in major cities
Largest city
Maun
49.9K (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
MODELEstimated share of jobs by sector, against the national mix.
North-West
Botswana
Exposed workers by sector
MODELRanking in Botswana
MODELBy modelled AI exposure, out of 15 regions.
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
- Central 22% exposed
- South-East 19% exposed
- Jwaneng 20% exposed
- Gaborone 24% exposed
- Kweneng 22% exposed
- Southern 22% exposed
- North-East 19% exposed
- Kgatleng 22% exposed
- Francistown 24% exposed
- Kgalagadi 21% exposed
- Selebi-Phikwe 20% exposed
- Sowa 20% exposed
- Ghanzi 21% exposed
- Lobatse 24% exposed