AI & jobs · Unitary Authority in United Kingdom

Rutland

Unitary Authority GB-RUT
36%
of jobs here are estimated to be exposed to generative AI, below the national 37% (−0.7 pts).
MODEL217th of 232 regions6,636 exposed workers

Key numbers

PopulationWIKIDATA
41.2K
as of 2022
Share of national populationWIKIDATA
0.1%
225th largest of 232
People in workMODEL
18.4K
national total × population share
Highest-exposure jobsMODEL
6.1%
national 6.3%
Area
404 km²
102 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 England area (130 map regions), so these figures describe that whole area.
Usage intensityANTHROPIC
1.28×
usage share ÷ population share
Area’s share of national useANTHROPIC
95.1%
0.1% of population
Work-relatedANTHROPIC
41%
national 41%
Automation-styleANTHROPIC
45%
national 45%
Augmentation 55%Automation 45%

Sector mix

MODEL

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

Rutland United Kingdom
Health & care 15.5%
Business services 11.9%
Education 11.7%
Retail & wholesale 11.0%
Manufacturing 8.9%
Public admin 7.6%
Construction 6.7%
Other services 6.0%
Hospitality 5.4%
Transport & logistics 5.2%
ICT & software 3.5%
Finance 3.3%
Utilities 1.5%
Agriculture 1.4%
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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