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

Stoke-on-Trent

Unitary Authority GB-STE Largest city: Stoke
38%
of jobs here are estimated to be exposed to generative AI, above the national 37% (+1.5 pts).
MODEL21st of 232 regions42.6K exposed workers

Key numbers

PopulationWIKIDATA
249K
as of 2011
Share of national populationWIKIDATA
0.3%
104th largest of 232
People in workMODEL
111K
national total × population share
Highest-exposure jobsMODEL
6.7%
national 6.3%
Area
104 km²
2,394 people per km²
Settlement patternMODEL
Highly urban
100% live in major cities
Largest city
Stoke
391K (metro)
Mapped towns & cities
1
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.

Stoke-on-Trent United Kingdom
Business services 20.8%
Health & care 12.7%
Retail & wholesale 9.0%
ICT & software 8.6%
Education 8.1%
Public admin 8.0%
Finance 7.0%
Manufacturing 6.0%
Construction 4.9%
Other services 4.9%
Hospitality 4.4%
Transport & logistics 4.0%
Utilities 1.0%
Mining 0.2%
Agriculture 0.2%

Exposed workers by sector

MODEL
Business services 9,360 Health & care 5,973 Education 4,217 ICT & software 4,169 Public admin 4,167 Finance 4,054 Retail & wholesale 3,396 Manufacturing 1,645

Ranking in United Kingdom

MODEL

By modelled AI exposure, out of 232 regions.

18Brighton and Hove 38% 19Newcastle upon Tyne 38% 20Luton 38% 21Stoke-on-Trent 38% 22South Tyneside 38% 23Dundee 38% 24Edinburgh 38%
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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