AI Job Atlas
AI & jobs · Metropolitan Borough in United Kingdom

Merseyside

Metropolitan Borough GB-SHN
36%
of jobs here are estimated to be exposed to generative AI, below the national 37% (−0.5 pts).
MODEL193rd of 232 regions6,959 exposed workers

Key numbers

PopulationMODEL
≈42.9K
estimated from area
Share of national populationMODEL
0.1%
224th largest of 232
People in workMODEL
19.2K
national total × population share
Highest-exposure jobsMODEL
6.1%
national 6.3%
Area
138 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.

Merseyside United Kingdom
Health & care 15.4%
Business services 12.5%
Education 11.4%
Retail & wholesale 10.9%
Manufacturing 8.7%
Public admin 7.7%
Construction 6.6%
Other services 6.0%
Hospitality 5.3%
Transport & logistics 5.1%
ICT & software 3.8%
Finance 3.5%
Utilities 1.4%
Agriculture 1.2%
Mining 0.5%

Exposed workers by sector

MODEL
Health & care 1,252 Education 1,018 Business services 970 Retail & wholesale 712 Public admin 691 Manufacturing 407 Finance 348 Other services 334

Ranking in United Kingdom

MODEL

By modelled AI exposure, out of 232 regions.

190Lisburn 36% 191Ballymoney 36% 192Ballymena 36% 193Merseyside 36% 194Northamptonshire 36% 195Warwickshire 36% 196Dorset 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

All of United Kingdom →