AI Job Atlas
AI & jobs · Province in Afghanistan

Sar-e Pol

Province AF-SAR
9%
of jobs here are estimated to be exposed to generative AI, below the national 12% (−2.6 pts).
MODEL31st of 34 regions11.4K exposed workers

Key numbers

PopulationWIKIDATA
532K
as of 2012
Share of national populationWIKIDATA
1.5%
24th largest of 34
People in workMODEL
125K
national total × population share
Highest-exposure jobsMODEL
0.4%
national 0.6%
Area
16.1K km²
33 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.

Sar-e Pol Afghanistan
Agriculture 75.3%
Construction 6.5%
Retail & wholesale 6.3%
Manufacturing 3.4%
Transport & logistics 2.9%
Public admin 1.9%
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 6,283 Retail & wholesale 1,764 Education 771 Public admin 710 Construction 575 Manufacturing 445 Transport & logistics 351 Health & care 159

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 →