AI & jobs · City in Zimbabwe
Harare
20%
of jobs here are estimated to be exposed to generative AI, above the national 14% (+6.5 pts).
MODEL1st of 10 regions104K exposed workers
Key numbers
PopulationMODEL
≈1.5M
estimated from area
Share of national populationMODEL
8.3%
7th largest of 10
People in workMODEL
516K
national total × population share
Highest-exposure jobsMODEL
2.0%
national 1.1%
Area
932 km²
Settlement patternMODEL
Highly urban
100% live in major cities
Largest city
Harare
1.6M (metro)
Mapped towns & cities
2
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
11.19×
usage share ÷ population share
Share of national useANTHROPIC
92.9%
8.3% of population
Work-relatedANTHROPIC
40%
national 39%
Automation-styleANTHROPIC
57%
national 57%
Augmentation 43%Automation 57%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Harare
Zimbabwe
Exposed workers by sector
MODELRanking in Zimbabwe
MODELBy modelled AI exposure, out of 10 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Zimbabwe'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 Zimbabwe
- Mashonaland West 13% exposed
- Masvingo 13% exposed
- Matabeleland South 11% exposed
- Midlands 14% exposed
- Manicaland 15% exposed
- Mashonaland East 11% exposed
- Mashonaland Central 11% exposed
- Matabeleland North 13% exposed
- Bulawayo 19% exposed