AI Job Atlas
AI & jobs · Municipality|Governarate in Libya

Ash Shati

Municipality|Governarate LY-WS Largest city: Birak
24%
of jobs here are estimated to be exposed to generative AI, below the national 25% (−1.1 pts).
MODEL18th of 22 regions28.9K exposed workers

Key numbers

PopulationMODEL
≈559K
estimated from area
Share of national populationMODEL
5.8%
6th largest of 22
People in workMODEL
123K
national total × population share
Highest-exposure jobsMODEL
4.2%
national 4.5%
Area
96.5K km²
Settlement patternMODEL
Rural
8% live in major cities
Largest city
Birak
45.4K (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.

Ash Shati Libya
Retail & wholesale 15.3%
Public admin 14.8%
Agriculture 13.4%
Education 11.4%
Construction 11.3%
Other services 6.5%
Health & care 6.2%
Manufacturing 6.1%
Transport & logistics 5.2%
Business services 3.7%
Hospitality 2.7%
Mining 1.4%
Finance 0.9%
ICT & software 0.8%
Utilities 0.4%

Exposed workers by sector

MODEL
Public admin 7,212 Education 5,755 Retail & wholesale 4,840 Health & care 2,829 Other services 1,510 Business services 1,343 Agriculture 1,144 Construction 907

Ranking in Libya

MODEL

By modelled AI exposure, out of 22 regions.

15Kufra 24% 16Ajdabiya 24% 17Ghat 24% 18Ash Shati 24% 19Murzuq 23% 20Jufra 22% 21Jafara 21%
About these estimates. No source publishes AI exposure by region for every country. The model splits Libya'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 Libya

All of Libya →