AI Job Atlas
AI & jobs · Province in Zimbabwe

Matabeleland North

Province ZW-MN Largest city: Victoria Falls
13%
of jobs here are estimated to be exposed to generative AI, below the national 14% (−0.7 pts).
MODEL6th of 10 regions36K exposed workers

Key numbers

PopulationWIKIDATA
828K
as of 2022
Share of national populationWIKIDATA
4.5%
9th largest of 10
People in workMODEL
279K
national total × population share
Highest-exposure jobsMODEL
1.0%
national 1.1%
Area
76.4K km²
11 people per km²
Settlement patternMODEL
Mixed
8% live in major cities
Largest city
Victoria Falls
35.8K (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.

Matabeleland North Zimbabwe
Agriculture 58.4%
Retail & wholesale 13.4%
Other services 5.8%
Manufacturing 4.6%
Mining 3.8%
Education 3.8%
Construction 2.4%
Transport & logistics 2.0%
Business services 1.8%
Public admin 1.6%
Hospitality 0.9%
Health & care 0.7%
Finance 0.3%
Utilities 0.3%
ICT & software 0.2%

Exposed workers by sector

MODEL
Agriculture 11K Retail & wholesale 9,421 Education 4,208 Other services 2,952 Manufacturing 1,444 Public admin 1,433 Business services 1,175 Mining 1,063

Ranking in Zimbabwe

MODEL

By modelled AI exposure, out of 10 regions.

3Manicaland 15% 4Midlands 14% 5Mashonaland West 13% 6Matabeleland North 13% 7Masvingo 13% 8Mashonaland Central 11% 9Matabeleland South 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 →