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

Wolverhampton

Metropolitan Borough GB-WLV
37%
of jobs here are estimated to be exposed to generative AI, below the national 37% (−0.1 pts).
MODEL80th of 232 regions41.1K exposed workers

Key numbers

PopulationWIKIDATA
251K
as of 2012
Share of national populationWIKIDATA
0.3%
102nd largest of 232
People in workMODEL
112K
national total × population share
Highest-exposure jobsMODEL
6.2%
national 6.3%
Area
64 km²
3,921 people per km²
Settlement patternMODEL
Mixed
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.

Wolverhampton United Kingdom
Health & care 15.0%
Business services 14.0%
Education 10.8%
Retail & wholesale 10.6%
Manufacturing 8.2%
Public admin 7.8%
Construction 6.3%
Other services 5.8%
Hospitality 5.2%
Transport & logistics 5.0%
ICT & software 4.6%
Finance 4.1%
Utilities 1.4%
Agriculture 0.8%
Mining 0.4%

Exposed workers by sector

MODEL
Health & care 7,131 Business services 6,365 Education 5,634 Public admin 4,124 Retail & wholesale 4,054 Finance 2,373 Manufacturing 2,239 ICT & software 2,222

Ranking in United Kingdom

MODEL

By modelled AI exposure, out of 232 regions.

77Enfield 37% 78Barnet 37% 79Bexley 37% 80Wolverhampton 37% 81Poole 37% 82Reading 37% 83Dudley 37%
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

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