AI & jobs · City in Botswana
Gaborone
24%
of jobs here are estimated to be exposed to generative AI, above the national 21% (+2.9 pts).
MODEL1st of 15 regions20.1K exposed workers
Key numbers
PopulationWIKIDATA
236K
as of 2013
Share of national populationWIKIDATA
9.2%
4th largest of 15
People in workMODEL
83.4K
national total × population share
Highest-exposure jobsMODEL
3.5%
national 2.9%
Area
286 km²
825 people per km²
Settlement patternMODEL
Highly urban
88% live in major cities
Largest city
Gaborone
208K (metro)
Mapped towns & cities
1
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
9.88×
usage share ÷ population share
Share of national useANTHROPIC
91.0%
9.2% of population
Work-relatedANTHROPIC
35%
national 36%
Automation-styleANTHROPIC
52%
national 52%
Augmentation 48%Automation 52%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Gaborone
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
- Kweneng 22% exposed
- Southern 22% exposed
- North-West 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