AI & jobs · Province in Afghanistan
Nangarhar
13%
of jobs here are estimated to be exposed to generative AI, above the national 12% (+1.2 pts).
MODEL2nd of 34 regions53K exposed workers
Key numbers
PopulationWIKIDATA
1.7M
as of 2021
Share of national populationWIKIDATA
5.0%
4th largest of 34
People in workMODEL
408K
national total × population share
Highest-exposure jobsMODEL
0.8%
national 0.6%
Area
7,340 km²
236 people per km²
Settlement patternMODEL
Urban
35% live in major cities
Largest city
Jalalabad
598K (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.
Nangarhar
Afghanistan
Exposed workers by sector
MODELRanking in Afghanistan
MODELBy modelled AI exposure, out of 34 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Afghanistan'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 Afghanistan
- Kabul 15% exposed
- Laghman 10% exposed
- Herat 12% exposed
- Balkh 13% exposed
- Helmand 11% exposed
- Kandahar 13% exposed
- Ghazni 11% exposed
- Takhar 11% exposed
- Faryab 12% exposed
- Badakhshan 11% exposed
- Baghlan 12% exposed
- Kunduz 13% exposed
- Ghōr 10% exposed
- Paktia 12% exposed
- Panjshir 10% exposed
- Parwan 11% exposed
- Maidan Wardak 11% exposed
- Khost 10% exposed
- Jowzjan 12% exposed
- Kunar 11% exposed
- Farah 11% exposed
- Badghis 9% exposed
- Sar-e Pol 9% exposed
- Bamyan 11% exposed
- Logar 11% exposed
- Samangan 11% exposed
- Uruzgan 10% exposed
- Wilayat-e Daykundi 9% exposed
- Kapisa 10% exposed
- Paktika 10% exposed