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

Sheffield

Metropolitan Borough GB-SHF Largest city: Sheffield
38%
of jobs here are estimated to be exposed to generative AI, above the national 37% (+1.4 pts).
MODEL29th of 232 regions88.4K exposed workers

Key numbers

PopulationWIKIDATA
518K
as of 2011
Share of national populationWIKIDATA
0.7%
37th largest of 232
People in workMODEL
232K
national total × population share
Highest-exposure jobsMODEL
6.7%
national 6.3%
Area
378 km²
1,371 people per km²
Settlement patternMODEL
Highly urban
100% live in major cities
Largest city
Sheffield
1.3M (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.

Sheffield United Kingdom
Business services 20.4%
Health & care 12.8%
Retail & wholesale 9.1%
ICT & software 8.4%
Education 8.3%
Public admin 8.0%
Finance 6.9%
Manufacturing 6.2%
Construction 5.0%
Other services 5.0%
Hospitality 4.4%
Transport & logistics 4.1%
Utilities 1.0%
Mining 0.2%
Agriculture 0.2%

Exposed workers by sector

MODEL
Business services 19.1K Health & care 12.6K Education 8,939 Public admin 8,686 ICT & software 8,396 Finance 8,206 Retail & wholesale 7,154 Manufacturing 3,491

Ranking in United Kingdom

MODEL

By modelled AI exposure, out of 232 regions.

26Leeds 38% 27Blackpool 38% 28Stockton-on-Tees 38% 29Sheffield 38% 30Aberdeen 38% 31Swansea 38% 32Inverclyde 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

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