AI Job Atlas
AI & jobs · Province in Zimbabwe

Mashonaland Central

Province ZW-MC Largest city: Shamva
11%
of jobs here are estimated to be exposed to generative AI, below the national 14% (−2.2 pts).
MODEL8th of 10 regions44.8K exposed workers

Key numbers

PopulationWIKIDATA
1.2M
as of 2013
Share of national populationWIKIDATA
6.3%
8th largest of 10
People in workMODEL
394K
national total × population share
Highest-exposure jobsMODEL
0.8%
national 1.1%
Area
27.8K km²
42 people per km²
Settlement patternMODEL
Rural
2% live in major cities
Largest city
Shamva
10.3K (metro)
Mapped towns & cities
2
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 Central Zimbabwe
Agriculture 68.1%
Retail & wholesale 10.1%
Other services 4.4%
Manufacturing 3.6%
Mining 3.3%
Education 3.0%
Construction 1.9%
Transport & logistics 1.6%
Business services 1.2%
Public admin 1.1%
Hospitality 0.7%
Health & care 0.6%
Utilities 0.2%
Finance 0.2%
ICT & software 0.1%

Exposed workers by sector

MODEL
Agriculture 18.2K Retail & wholesale 10K Education 4,653 Other services 3,148 Manufacturing 1,606 Public admin 1,439 Mining 1,294 Business services 1,045

Ranking in Zimbabwe

MODEL

By modelled AI exposure, out of 10 regions.

4Midlands 14% 5Mashonaland West 13% 6Matabeleland North 13% 7Masvingo 13% 8Mashonaland Central 11% 9Matabeleland South 11% 10Mashonaland East 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 →