AI & jobs · Administrative Zone in Nepal
Karnali Zone
15%
of jobs here are estimated to be exposed to generative AI, below the national 20% (−5.3 pts).
MODEL14th of 14 regions14.3K exposed workers
Key numbers
PopulationWIKIDATA
389K
as of 2011
Share of national populationWIKIDATA
1.3%
13th largest of 14
People in workMODEL
98.3K
national total × population share
Highest-exposure jobsMODEL
1.8%
national 2.9%
Area
21.2K km²
18 people per km²
Settlement patternMODEL
Very rural
2% live in major cities
Largest city
Jumla
9,073 (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.
Karnali 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
- Narayani Zone 22% exposed
- Mechi Zone 18% exposed
- Dhaulagiri Zone 19% exposed
- Mahakali Zone 18% exposed
- Bhojpur 21% exposed