AI & jobs · Metropolitan Borough in United Kingdom

Sefton

Metropolitan Borough GB-SFT
37%
of jobs here are estimated to be exposed to generative AI, below the national 37% (−0.2 pts).
MODEL99th of 232 regions45K exposed workers

Key numbers

PopulationWIKIDATA
275K
as of 2018
Share of national populationWIKIDATA
0.4%
87th largest of 232
People in workMODEL
123K
national total × population share
Highest-exposure jobsMODEL
6.2%
national 6.3%
Area
136 km²
2,025 people per km²
Settlement patternMODEL
Mixed
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%
0.4% 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.

Sefton United Kingdom
Health & care 15.1%
Business services 13.6%
Education 11.0%
Retail & wholesale 10.7%
Manufacturing 8.3%
Public admin 7.8%
Construction 6.4%
Other services 5.9%
Hospitality 5.2%
Transport & logistics 5.0%
ICT & software 4.4%
Finance 3.9%
Utilities 1.4%
Agriculture 0.9%
Mining 0.4%

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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