AI & jobs · District in Malawi
Nkhata Bay
11%
of jobs here are estimated to be exposed to generative AI, below the national 13% (−1.9 pts).
MODEL17th of 28 regions77.6K exposed workers
Key numbers
PopulationMODEL
≈2M
estimated from area
Share of national populationMODEL
8.8%
2nd largest of 28
People in workMODEL
694K
national total × population share
Highest-exposure jobsMODEL
0.7%
national 0.9%
Area
10.6K km²
Settlement patternMODEL
Rural
1% live in major cities
Largest city
Nkhata Bay
22.1K (metro)
Mapped towns & cities
1
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
MODELEstimated share of jobs by sector, against the national mix.
Nkhata Bay
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
- 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