AI & jobs · Administrative Zone in Nepal
Narayani Zone
22%
of jobs here are estimated to be exposed to generative AI, above the national 20% (+2.5 pts).
MODEL2nd of 14 regions126K exposed workers
Key numbers
PopulationMODEL
≈2.2M
estimated from area
Share of national populationMODEL
7.5%
9th largest of 14
People in workMODEL
563K
national total × population share
Highest-exposure jobsMODEL
3.4%
national 2.9%
Area
8,945 km²
Settlement patternMODEL
Urban
17% live in major cities
Largest city
Hetauda
232K (metro)
Mapped towns & cities
3
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.
Narayani Zone
Nepal
Exposed workers by sector
MODELRanking in Nepal
MODELBy modelled AI exposure, out of 14 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Nepal'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 Nepal
- Seti Zone 20% exposed
- Gandaki Zone 21% exposed
- Bheri Zone 20% exposed
- Sagarmatha Zone 19% exposed
- Rapti Zone 18% exposed
- Janakpur Zone 18% exposed
- Lumbini Zone 20% exposed
- Bagmati Zone 24% exposed
- Mechi Zone 18% exposed
- Dhaulagiri Zone 19% exposed
- Mahakali Zone 18% exposed
- Karnali Zone 15% exposed
- Bhojpur 21% exposed