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

Slough

Unitary Authority GB-SLG
37%
of jobs here are estimated to be exposed to generative AI, below the national 37% (−0.2 pts).
MODEL97th of 232 regions19.5K exposed workers

Key numbers

PopulationWIKIDATA
119K
as of 2001
Share of national populationWIKIDATA
0.2%
192nd largest of 232
People in workMODEL
53.3K
national total × population share
Highest-exposure jobsMODEL
6.2%
national 6.3%
Area
51 km²
2,335 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.

Slough United Kingdom
Health & care 15.1%
Business services 13.7%
Education 10.9%
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 4.0%
Utilities 1.4%
Agriculture 0.9%
Mining 0.4%

Exposed workers by sector

MODEL
Health & care 3,403 Business services 2,950 Education 2,704 Public admin 1,949 Retail & wholesale 1,935 Finance 1,091 Manufacturing 1,076 ICT & software 1,017

Ranking in United Kingdom

MODEL

By modelled AI exposure, out of 232 regions.

94Bolton 37% 95Kent 37% 96Stockport 37% 97Slough 37% 98Havering 37% 99Sefton 37% 100Bromley 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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