Region
AI Job Risk in West Midlands
West Midlands scores 55.7/100 for AI job risk, ranking #11 out of 12 uk regions. That puts it in the bottom third for AI exposure — the local economy has relatively fewer jobs in AI-vulnerable occupations compared to other areas.
Ranked #11 of 12 uk regions
Rank
#11
less exposed than most
Total Workforce
2.1 M
jobs analysed
High-Risk Jobs
91 K
4% of workforce
Out of
12
uk regions
Most at Risk
Jobs in West Midlands most likely to be automated or transformed by AI
Customer service supervisors
6.8 K employed
Customer service occupations n.e.c.
15 K employed
Customer service managers
13 K employed
Graphic and multimedia designers
6.6 K employed
Specialist nurses
8.6 K employed
Data analysts
8.4 K employed
Housing officers
7.1 K employed
Medical secretaries
5.1 K employed
Receptionists
17 K employed
School secretaries
3.5 K employed
Safest from AI
Jobs in West Midlands least likely to be affected by AI
Laboratory technicians
7.5 K employed
IT operations technicians
11 K employed
Nursing auxiliaries and assistants
34 K employed
Caretakers
6.9 K employed
Midwifery nurses
4.1 K employed
Bus and coach drivers
12 K employed
Delivery drivers and couriers
19 K employed
Fork-lift truck drivers
8.5 K employed
Education managers
4 K employed
Chefs
18 K employed
What this means
The exposure score (55.7/100) measures how much of West 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 West 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 38% of occupation categories in this area