AI Job Atlas
AI & jobs · Province in Afghanistan

Nuristan

Province AF-NUR
9%
of jobs here are estimated to be exposed to generative AI, below the national 12% (−2.7 pts).
MODEL34th of 34 regions3,392 exposed workers

Key numbers

PopulationWIKIDATA
160K
as of 2019
Share of national populationWIKIDATA
0.5%
33rd largest of 34
People in workMODEL
37.6K
national total × population share
Highest-exposure jobsMODEL
0.4%
national 0.6%
Area
8,880 km²
18 people per km²
Settlement patternMODEL
Very rural
0% live in major cities
Mapped towns & cities
0
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

MODEL

Estimated share of jobs by sector, against the national mix.

Nuristan Afghanistan
Agriculture 76.5%
Construction 6.2%
Retail & wholesale 5.9%
Manufacturing 3.3%
Transport & logistics 2.7%
Public admin 1.8%
Education 1.5%
Other services 0.7%
Health & care 0.4%
Hospitality 0.3%
Mining 0.3%
Business services 0.2%
Utilities 0.2%
ICT & software 0.1%
Finance 0.0%

Exposed workers by sector

MODEL
Agriculture 1,921 Retail & wholesale 503 Education 221 Public admin 200 Construction 164 Manufacturing 128 Transport & logistics 100 Health & care 45

Ranking in Afghanistan

MODEL

By modelled AI exposure, out of 34 regions.

28Panjshir 10% 29Ghōr 10% 30Khost 10% 31Sar-e Pol 9% 32Badghis 9% 33Wilayat-e Daykundi 9% 34Nuristan 9%
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

All of Afghanistan →