AI & jobs · District in Malawi
Salima
15%
of jobs here are estimated to be exposed to generative AI, above the national 13% (+1.9 pts).
MODEL6th of 28 regions40.7K exposed workers
Key numbers
PopulationMODEL
≈769K
estimated from area
Share of national populationMODEL
3.4%
11th largest of 28
People in workMODEL
272K
national total × population share
Highest-exposure jobsMODEL
1.1%
national 0.9%
Area
4,179 km²
Settlement patternMODEL
Urban
9% live in major cities
Largest city
Salima
71.2K (metro)
Mapped towns & cities
1
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage is published for the wider Central Region area (9 map regions), so these figures describe that whole area.
Usage intensityANTHROPIC
1.87×
usage share ÷ population share
Area’s share of national useANTHROPIC
66.1%
3.4% of population
Work-relatedANTHROPIC
45%
Automation-styleANTHROPIC
53%
Augmentation 47%Automation 53%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Salima
Malawi
Exposed workers by sector
MODELRanking in Malawi
MODELBy modelled AI exposure, out of 28 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Malawi'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 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
- 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