AI Job Atlas
AI & jobs · Municipality in Qatar

Al Daayen

Municipality QA-ZA
18%
of jobs here are estimated to be exposed to generative AI, below the national 19% (−1.1 pts).
MODEL4th of 7 regions7,501 exposed workers

Key numbers

PopulationWIKIDATA
54.3K
as of 2015
Share of national populationWIKIDATA
1.8%
7th largest of 7
People in workMODEL
42.1K
national total × population share
Highest-exposure jobsMODEL
2.6%
national 2.9%
Area
278 km²
195 people per km²
Settlement patternMODEL
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.

Al Daayen Qatar
Construction 32.8%
Retail & wholesale 11.8%
Other services 9.7%
Business services 8.7%
Transport & logistics 7.1%
Manufacturing 5.1%
Health & care 4.9%
Public admin 4.8%
Hospitality 4.4%
Education 3.7%
Agriculture 2.5%
Mining 1.9%
Utilities 1.0%
Finance 0.8%
ICT & software 0.7%

Exposed workers by sector

MODEL
Retail & wholesale 1,178 Business services 1,085 Construction 840 Health & care 833 Public admin 793 Other services 707 Education 697 Transport & logistics 362

Ranking in Qatar

MODEL

By modelled AI exposure, out of 7 regions.

1Doha 21% 2Madinat ash Shamal 18% 3Umm Salal 18% 4Al Daayen 18% 5Al Khor 18% 6Al Rayyan 18% 7Al Wakrah 18%
About these estimates. No source publishes AI exposure by region for every country. The model splits Qatar'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 Qatar

All of Qatar →