AI & jobs · Country profile
Zimbabwe
14%
of jobs are in occupations exposed to generative AI. That's about 846K people.
MODEL164th of 183 most exposed
World 21%Lower-middle income 16%
Key numbers
Workers in exposed jobsMODEL
846K
of 6.2M in work
Highest-exposure jobsMODEL
1.1%
67.7K people
People in workILO
6.2M
50% women
UnemploymentWORLD BANK
9.3%
2025
Youth unemploymentWORLD BANK
15.6%
ages 15–24
GDP per capitaWORLD BANK
$3,021
US$, 2025
Internet usersWORLD BANK
42%
of population
AI preparednessIMF
0.31
144th of 165
PopulationWORLD BANK
17M
Tertiary enrolmentWORLD BANK
8%
gross ratio
Vulnerable employmentWORLD BANK
68%
own-account & family workers
Urban populationWORLD BANK
41%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Women are +1.6 pts more exposed, mostly because they hold more clerical and administrative jobs.
How it compares
MODELAI preparedness
IMFZimbabweLower-middle income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.31 (0–1 scale).
Exposure vs preparedness
Zimbabwe is highlighted. The other dots are all countries with both measures.
Sources: ILO modelled estimates 2025 · World Bank WDI · IMF AIPI · Anthropic Economic Index · Wikidata · Natural Earth. How the estimates are made.
Regions of Zimbabwe
- Mashonaland West 13% exposed
- Masvingo 13% exposed
- Matabeleland South 11% exposed
- Midlands 14% exposed
- Manicaland 15% exposed
- Mashonaland East 11% exposed
- Harare 20% exposed
- Mashonaland Central 11% exposed
- Matabeleland North 13% exposed
- Bulawayo 19% exposed