AI Job Atlas
AI & jobs · District in Moldova

Cahul

District MD-CA Largest city: Cahul
21%
of jobs here are estimated to be exposed to generative AI, above the national 17% (+3.4 pts).
MODEL5th of 40 regions9,149 exposed workers

Key numbers

PopulationWIKIDATA
72.8K
as of 2024
Share of national populationWIKIDATA
2.6%
9th largest of 40
People in workMODEL
44K
national total × population share
Highest-exposure jobsMODEL
2.5%
national 1.9%
Area
1,434 km²
51 people per km²
Settlement patternMODEL
Urban
87% live in major cities
Largest city
Cahul
63.4K (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.

Cahul Moldova
Agriculture 34.8%
Retail & wholesale 11.9%
Education 8.8%
Manufacturing 8.5%
Health & care 6.3%
Construction 5.9%
Public admin 4.6%
Other services 3.9%
Business services 3.9%
Transport & logistics 3.3%
ICT & software 2.9%
Hospitality 2.1%
Utilities 1.6%
Finance 1.5%
Mining 0.1%

Exposed workers by sector

MODEL
Education 1,686 Retail & wholesale 1,439 Agriculture 1,088 Health & care 1,048 Public admin 799 Manufacturing 535 ICT & software 521 Business services 515

Ranking in Moldova

MODEL

By modelled AI exposure, out of 40 regions.

2Transnistria 23% 3Bălți 23% 4Bender 21% 5Cahul 21% 6Călărași 16% 7Ialoveni 15% 8Camenca 15%
About these estimates. No source publishes AI exposure by region for every country. The model splits Moldova'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 Moldova

All of Moldova →