AI Job Atlas
AI & jobs · Province in Afghanistan

Kapisa

Province AF-KAP Largest city: Mahmud-E Eraqi
10%
of jobs here are estimated to be exposed to generative AI, below the national 12% (−1.7 pts).
MODEL23rd of 34 regions9,480 exposed workers

Key numbers

PopulationWIKIDATA
400K
as of 2009
Share of national populationWIKIDATA
1.1%
30th largest of 34
People in workMODEL
93.8K
national total × population share
Highest-exposure jobsMODEL
0.5%
national 0.6%
Area
1,860 km²
215 people per km²
Settlement patternMODEL
Rural
2% live in major cities
Largest city
Mahmud-E Eraqi
7,407 (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

MODEL

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

Kapisa Afghanistan
Agriculture 66.4%
Construction 8.7%
Retail & wholesale 8.6%
Manufacturing 4.5%
Transport & logistics 3.9%
Public admin 2.8%
Education 2.0%
Other services 1.0%
Health & care 0.5%
Hospitality 0.4%
Business services 0.4%
Mining 0.4%
Utilities 0.2%
ICT & software 0.1%
Finance 0.0%

Exposed workers by sector

MODEL
Agriculture 4,161 Retail & wholesale 1,820 Public admin 778 Education 766 Construction 579 Manufacturing 440 Transport & logistics 357 Health & care 164

Ranking in Afghanistan

MODEL

By modelled AI exposure, out of 34 regions.

20Maidan Wardak 11% 21Badakhshan 11% 22Samangan 11% 23Kapisa 10% 24Paktika 10% 25Laghman 10% 26Zabul 10%
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 →