AI Job Atlas
AI & jobs · Unitary District in United Kingdom

Argyll and Bute

Unitary District GB-AGB
36%
of jobs here are estimated to be exposed to generative AI, below the national 37% (−1.1 pts).
MODEL231st of 232 regions13.7K exposed workers

Key numbers

PopulationWIKIDATA
85.9K
as of 2019
Share of national populationWIKIDATA
0.1%
212th largest of 232
People in workMODEL
38.4K
national total × population share
Highest-exposure jobsMODEL
5.9%
national 6.3%
Area
7,555 km²
11 people per km²
Settlement patternMODEL
Very 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.

Argyll and Bute United Kingdom
Health & care 15.8%
Education 12.1%
Retail & wholesale 11.2%
Business services 10.6%
Manufacturing 9.3%
Public admin 7.4%
Construction 6.9%
Other services 6.1%
Hospitality 5.4%
Transport & logistics 5.3%
ICT & software 3.0%
Finance 2.8%
Agriculture 1.9%
Utilities 1.5%
Mining 0.5%

Exposed workers by sector

MODEL
Health & care 2,565 Education 2,164 Business services 1,650 Retail & wholesale 1,458 Public admin 1,330 Manufacturing 869 Other services 685 Transport & logistics 605

Ranking in United Kingdom

MODEL

By modelled AI exposure, out of 232 regions.

226Stirling 36% 227Aberdeenshire 36% 228Ceredigion 36% 229Powys 36% 230Scottish Borders 36% 231Argyll and Bute 36% 232Outer Hebrides 36%
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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