AI Job Atlas
AI & jobs · Province in Afghanistan

Bamyan

Province AF-BAM Largest city: Bamian
11%
of jobs here are estimated to be exposed to generative AI, below the national 12% (−0.5 pts).
MODEL16th of 34 regions13.1K exposed workers

Key numbers

PopulationWIKIDATA
496K
as of 2021
Share of national populationWIKIDATA
1.4%
25th largest of 34
People in workMODEL
116K
national total × population share
Highest-exposure jobsMODEL
0.6%
national 0.6%
Area
17.7K km²
28 people per km²
Settlement patternMODEL
Mixed
13% live in major cities
Largest city
Bamian
61.9K (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.

Bamyan Afghanistan
Agriculture 55.7%
Retail & wholesale 11.5%
Construction 11.3%
Manufacturing 5.7%
Transport & logistics 5.1%
Public admin 3.9%
Education 2.6%
Other services 1.3%
Health & care 0.7%
Business services 0.6%
Hospitality 0.6%
Mining 0.4%
Utilities 0.3%
ICT & software 0.2%
Finance 0.0%

Exposed workers by sector

MODEL
Agriculture 4,331 Retail & wholesale 2,999 Public admin 1,368 Education 1,215 Construction 930 Manufacturing 694 Transport & logistics 582 Health & care 270

Ranking in Afghanistan

MODEL

By modelled AI exposure, out of 34 regions.

13Kunar 11% 14Ghazni 11% 15Parwan 11% 16Bamyan 11% 17Farah 11% 18Takhar 11% 19Logar 11%
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 →