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

Reading

Unitary Authority GB-RDG
37%
of jobs here are estimated to be exposed to generative AI, below the national 37% (−0.1 pts).
MODEL82nd of 232 regions26.6K exposed workers

Key numbers

PopulationWIKIDATA
163K
as of 2016
Share of national populationWIKIDATA
0.2%
154th largest of 232
People in workMODEL
72.8K
national total × population share
Highest-exposure jobsMODEL
6.2%
national 6.3%
Area
45 km²
3,615 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.

Reading 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 4.5%
Finance 4.1%
Utilities 1.4%
Agriculture 0.8%
Mining 0.4%

Exposed workers by sector

MODEL
Health & care 4,627 Business services 4,110 Education 3,659 Public admin 2,671 Retail & wholesale 2,630 Finance 1,530 Manufacturing 1,455 ICT & software 1,432

Ranking in United Kingdom

MODEL

By modelled AI exposure, out of 232 regions.

79Bexley 37% 80Wolverhampton 37% 81Poole 37% 82Reading 37% 83Dudley 37% 84Richmond upon Thames 37% 85Derby 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

Other regions of United Kingdom

All of United Kingdom →