Local Authority
AI Job Risk in Rugby
Rugby scores 53.3/100 for AI job risk, ranking #112 out of 261 uk local authorities. That puts it around the middle — a moderate mix of AI-vulnerable and AI-resistant jobs in the local economy.
Ranked #112 of 261 uk local authorities
Rank
#112
around the middle
Total Workforce
58 K
jobs analysed
High-Risk Jobs
7.1 K
12% of workforce
Out of
261
uk local authorities
Most at Risk
Jobs in Rugby most likely to be automated or transformed by AI
Managers and Proprietors in Agriculture Related Services
110 employed
Customer Service Supervisors
46 employed
Customer Service Occupations
670 employed
Senior Officers in Protective Services
83 employed
Information Technology Professionals
1.7 K employed
Administrative Occupations: Records
990 employed
Elementary Administration Occupations
450 employed
Other Administrative Occupations
1.5 K employed
Secretarial and Related Occupations
970 employed
Food Preparation and Hospitality Trades
570 employed
Safest from AI
Jobs in Rugby least likely to be affected by AI
Elementary Cleaning Occupations
1.3 K employed
Construction and Building Trades
1.1 K employed
Construction Operatives
260 employed
Caring Personal Services
2.1 K employed
Road Transport Drivers
2.4 K employed
Protective Service Occupations
810 employed
Other Educational Professionals
470 employed
Functional Managers and Directors
2.1 K employed
Conservation and Environment Professionals
63 employed
Other Elementary Services Occupations
1 K employed
What this means
The exposure score (53.3/100) measures how much of Rugby'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 Rugby, 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