AI Job Atlas
AI & jobs · Province in Zimbabwe

Mashonaland West

Province ZW-MW Largest city: Kadoma
13%
of jobs here are estimated to be exposed to generative AI, below the national 14% (−0.2 pts).
MODEL5th of 10 regions130K exposed workers

Key numbers

PopulationMODEL
≈2.9M
estimated from area
Share of national populationMODEL
15.6%
1st largest of 10
People in workMODEL
970K
national total × population share
Highest-exposure jobsMODEL
1.1%
national 1.1%
Area
57.5K km²
Settlement patternMODEL
Mixed
7% live in major cities
Largest city
Kadoma
79.2K (metro)
Mapped towns & cities
4
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.

Mashonaland West Zimbabwe
Agriculture 55.1%
Retail & wholesale 14.5%
Other services 6.2%
Manufacturing 4.9%
Education 4.1%
Mining 3.9%
Construction 2.6%
Transport & logistics 2.2%
Business services 2.1%
Public admin 1.7%
Hospitality 1.0%
Health & care 0.8%
Finance 0.4%
Utilities 0.3%
ICT & software 0.2%

Exposed workers by sector

MODEL
Agriculture 36.2K Retail & wholesale 35.4K Education 15.6K Other services 11.1K Public admin 5,485 Manufacturing 5,353 Business services 4,668 Mining 3,829

Ranking in Zimbabwe

MODEL

By modelled AI exposure, out of 10 regions.

2Bulawayo 19% 3Manicaland 15% 4Midlands 14% 5Mashonaland West 13% 6Matabeleland North 13% 7Masvingo 13% 8Mashonaland Central 11%
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

All of Zimbabwe →