Region
AI Job Risk in Yorkshire and The Humber
Yorkshire and The Humber scores 56.6/100 for AI job risk, ranking #6 out of 12 uk regions. That puts it around the middle — a moderate mix of AI-vulnerable and AI-resistant jobs in the local economy.
Ranked #6 of 12 uk regions
Rank
#6
around the middle
Total Workforce
1.9 M
jobs analysed
High-Risk Jobs
83 K
4% of workforce
Out of
12
uk regions
Most at Risk
Jobs in Yorkshire and The Humber most likely to be automated or transformed by AI
Customer service managers
6.3 K employed
Customer service occupations n.e.c.
23 K employed
Graphic and multimedia designers
5.7 K employed
Data analysts
11 K employed
Specialist nurses
6.4 K employed
Housing officers
3.9 K employed
School secretaries
6.7 K employed
Medical secretaries
5.2 K employed
Refuse and salvage occupations
4.7 K employed
Receptionists
11 K employed
Safest from AI
Jobs in Yorkshire and The Humber least likely to be affected by AI
IT operations technicians
8.1 K employed
Nursing auxiliaries and assistants
30 K employed
Paramedics
3.7 K employed
Bus and coach drivers
8.8 K employed
Delivery drivers and couriers
18 K employed
Chefs
16 K employed
Occupational therapists
3.5 K employed
Fork-lift truck drivers
13 K employed
Education managers
4.9 K employed
Office supervisors
8.1 K employed
What this means
The exposure score (56.6/100) measures how much of Yorkshire and The Humber'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 Yorkshire and The Humber, 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