AI & jobs · Unitary District in United Kingdom

Moray

Unitary District GB-MRY
36%
of jobs here are estimated to be exposed to generative AI, below the national 37% (−0.8 pts).
MODEL225th of 232 regions15.4K exposed workers

Key numbers

PopulationWIKIDATA
95.8K
as of 2019
Share of national populationWIKIDATA
0.1%
202nd largest of 232
People in workMODEL
42.9K
national total × population share
Highest-exposure jobsMODEL
6.0%
national 6.3%
Area
2,224 km²
43 people per km²
Settlement patternMODEL
Rural
0% live in major cities
Mapped towns & cities
0
Natural Earth places

AI use

ANTHROPIC

Claude.ai conversations, April–May 2026.

Usage is published for the wider Scotland area (32 map regions), so these figures describe that whole area.
Usage intensityANTHROPIC
0.41×
usage share ÷ population share
Area’s share of national useANTHROPIC
2.9%
0.1% of population
Work-relatedANTHROPIC
34%
national 41%
Automation-styleANTHROPIC
42%
national 45%
Augmentation 58%Automation 42%

Sector mix

MODEL

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

Moray United Kingdom
Health & care 15.6%
Education 11.8%
Business services 11.4%
Retail & wholesale 11.1%
Manufacturing 9.0%
Public admin 7.5%
Construction 6.8%
Other services 6.1%
Hospitality 5.4%
Transport & logistics 5.3%
ICT & software 3.3%
Finance 3.1%
Agriculture 1.5%
Utilities 1.5%
Mining 0.5%

Exposed workers by sector

MODEL

Ranking in United Kingdom

MODEL

By modelled AI exposure, out of 232 regions.

About these estimates. No source publishes AI exposure by region for every country. The model splits United Kingdom'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 United Kingdom

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