Local Authority
AI Job Risk in Mid Suffolk
Mid Suffolk scores 52.8/100 for AI job risk, ranking #147 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 #147 of 261 uk local authorities
Rank
#147
around the middle
Total Workforce
50 K
jobs analysed
High-Risk Jobs
6 K
12% of workforce
Out of
261
uk local authorities
Most at Risk
Jobs in Mid Suffolk most likely to be automated or transformed by AI
Senior Officers in Protective Services
170 employed
Customer Service Supervisors
23 employed
Managers and Proprietors in Agriculture Related Services
390 employed
Customer Service Occupations
540 employed
Information Technology Professionals
990 employed
Elementary Administration Occupations
240 employed
Other Administrative Occupations
1.3 K employed
Administrative Occupations: Records
690 employed
Secretarial and Related Occupations
1.1 K employed
Food Preparation and Hospitality Trades
560 employed
Safest from AI
Jobs in Mid Suffolk least likely to be affected by AI
Elementary Cleaning Occupations
1 K employed
Construction Operatives
330 employed
Construction and Building Trades
1.8 K employed
Caring Personal Services
2.3 K employed
Road Transport Drivers
1.6 K employed
Protective Service Occupations
890 employed
Other Educational Professionals
390 employed
Elementary Construction Occupations
400 employed
Conservation and Environment Professionals
110 employed
Sales Related Occupations
130 employed
What this means
The exposure score (52.8/100) measures how much of Mid Suffolk'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 Mid Suffolk, 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