Region
AI Job Risk in East Midlands
East Midlands scores 56.8/100 for AI job risk, ranking #3 out of 12 uk regions. 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 #3 of 12 uk regions
Rank
#3
more exposed than most
Total Workforce
1.6 M
jobs analysed
High-Risk Jobs
98 K
6% of workforce
Out of
12
uk regions
Most at Risk
Jobs in East Midlands most likely to be automated or transformed by AI
Customer service managers
10 K employed
Customer service occupations n.e.c.
27 K employed
Data analysts
9.5 K employed
Specialist nurses
5.5 K employed
School secretaries
5.2 K employed
Medical secretaries
5.5 K employed
Receptionists
14 K employed
Sales administrators
8.5 K employed
Pharmacists
5.3 K employed
IT user support technicians
7.1 K employed
Safest from AI
Jobs in East Midlands least likely to be affected by AI
Farm workers
7.1 K employed
Nursing auxiliaries and assistants
24 K employed
Caretakers
7.9 K employed
Bus and coach drivers
8.3 K employed
Delivery drivers and couriers
23 K employed
Fork-lift truck drivers
7.6 K employed
Chefs
13 K employed
Education managers
5 K employed
Credit controllers
4.5 K employed
Nurse practitioners
10 K employed
What this means
The exposure score (56.8/100) measures how much of East Midlands'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 East Midlands, 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 36% of occupation categories in this area