AI & jobs · Country profile
Malawi
13%
of jobs are in occupations exposed to generative AI. That's about 1M people.
MODEL167th of 183 most exposed
World 21%Low income 13%
Key numbers
Workers in exposed jobsMODEL
1M
of 7.9M in work
Highest-exposure jobsMODEL
0.9%
71.2K people
People in workILO
7.9M
48% women
UnemploymentWORLD BANK
5.1%
2025
Youth unemploymentWORLD BANK
7.0%
ages 15–24
GDP per capitaWORLD BANK
$672
US$, 2025
Internet usersWORLD BANK
19%
of population
AI preparednessIMF
0.34
131st of 165
PopulationWORLD BANK
22.2M
Tertiary enrolmentWORLD BANK
3%
gross ratio
Vulnerable employmentWORLD BANK
60%
own-account & family workers
Urban populationWORLD BANK
18%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Men are +1.6 pts more exposed here. Women’s jobs are concentrated in less-exposed work such as agriculture and care.
How it compares
MODELAI preparedness
IMFMalawiLow income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.34 (0–1 scale).
Exposure vs preparedness
Malawi 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 Malawi
- Mzimba 14% exposed
- Nkhata Bay 11% exposed
- Karonga District 12% exposed
- Mangochi 14% exposed
- Kasungu 11% exposed
- Nkhotakota 13% exposed
- Rumphi 11% exposed
- Lilongwe 20% exposed
- Chikwawa 11% exposed
- Chitipa District 12% exposed
- Salima 15% exposed
- Dedza 12% exposed
- Machinga 11% exposed
- Ntcheu 12% exposed
- Mchinji 13% exposed
- Zomba 16% exposed
- Dowa 11% exposed
- Blantyre 21% exposed
- Phalombe 16% exposed
- Balaka 11% exposed
- Nsanje 16% exposed
- Ntchisi 11% exposed
- Mulanje 14% exposed
- Neno 11% exposed
- Thyolo 11% exposed
- Mwanza 14% exposed
- Chiradzulu 11% exposed
- Likoma 11% exposed