Local Authority
AI Job Risk in Reading
Reading scores 54.3/100 for AI job risk, ranking #46 out of 261 uk local authorities. That puts it in the top third for AI exposure — a relatively large share of local jobs are in occupations that AI can automate or significantly change.
Ranked #46 of 261 uk local authorities
Rank
#46
more exposed than most
Total Workforce
89 K
jobs analysed
High-Risk Jobs
13 K
15% of workforce
Out of
261
uk local authorities
Most at Risk
Jobs in Reading most likely to be automated or transformed by AI
Customer Service Supervisors
43 employed
Managers and Proprietors in Agriculture Related Services
46 employed
Customer Service Occupations
1.3 K employed
Senior Officers in Protective Services
77 employed
Information Technology Professionals
5.6 K employed
Administrative Occupations: Records
1.1 K employed
Other Administrative Occupations
1.7 K employed
Elementary Administration Occupations
520 employed
Secretarial and Related Occupations
1.4 K employed
Food Preparation and Hospitality Trades
1.4 K employed
Safest from AI
Jobs in Reading least likely to be affected by AI
Elementary Cleaning Occupations
2.9 K employed
Construction Operatives
460 employed
Construction and Building Trades
1.8 K employed
Caring Personal Services
4.4 K employed
Protective Service Occupations
620 employed
Road Transport Drivers
3 K employed
Other Educational Professionals
570 employed
Elementary Construction Occupations
450 employed
Other Elementary Services Occupations
2.6 K employed
Functional Managers and Directors
3.3 K employed
What this means
The exposure score (54.3/100) measures how much of Reading's workforce is in jobs that AI can automate or significantly change. It's not a prediction that jobs will disappear — it's a measure of how exposed the local economy is to AI-driven change.
How it works: We score 289 occupations from 0 (AI has little impact) to 100 (AI can do most of the job) using 10 research sources. We then match these scores to real employment data for Reading, weighting by how many people actually work in each role.
High-risk jobs (score 60+) include roles like customer service, data entry, and bookkeeping where AI can already handle most tasks. Low-risk jobs (score under 30) include trades, healthcare, and social work where physical presence or human judgement is essential.
Full methodology · Data covers 59% of occupation categories in this area