AI & jobs · Country profile

Malawi

Low income Capital: Lilongwe 28 regions
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

MODEL

Based on the real occupation mix of women’s and men’s jobs (ILO).

Women: any exposure 12%
Men: any exposure 14%
Women: highest exposure 0.8%
Men: highest exposure 1.0%

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

MODEL
Malawi 13%
Low income 13%
Sub-Saharan Africa 15%
World 21%

AI preparedness

IMF
MalawiLow income average
Digital infrastructure 0.05
Human capital & labour policy 0.10
Innovation & integration 0.10
Regulation & ethics 0.10

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