Local Authority
AI Job Risk in Melton
Melton scores 53.0/100 for AI job risk, ranking #135 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 #135 of 261 uk local authorities
Rank
#135
around the middle
Total Workforce
25 K
jobs analysed
High-Risk Jobs
2.8 K
11% of workforce
Out of
261
uk local authorities
Most at Risk
Jobs in Melton most likely to be automated or transformed by AI
Senior Officers in Protective Services
37 employed
Managers and Proprietors in Agriculture Related Services
160 employed
Customer Service Occupations
260 employed
Customer Service Supervisors
14 employed
Information Technology Professionals
410 employed
Other Administrative Occupations
650 employed
Administrative Occupations: Records
260 employed
Elementary Administration Occupations
130 employed
Secretarial and Related Occupations
540 employed
Food Preparation and Hospitality Trades
350 employed
Safest from AI
Jobs in Melton least likely to be affected by AI
Elementary Cleaning Occupations
580 employed
Construction Operatives
140 employed
Construction and Building Trades
780 employed
Caring Personal Services
1.1 K employed
Road Transport Drivers
720 employed
Protective Service Occupations
370 employed
Other Educational Professionals
190 employed
Conservation and Environment Professionals
37 employed
Sales Related Occupations
52 employed
Functional Managers and Directors
920 employed
What this means
The exposure score (53.0/100) measures how much of Melton'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 Melton, 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