Region
AI Job Risk in London
London scores 56.6/100 for AI job risk, ranking #5 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 #5 of 12 uk regions
Rank
#5
around the middle
Total Workforce
3.3 M
jobs analysed
High-Risk Jobs
180 K
5% of workforce
Out of
12
uk regions
Most at Risk
Jobs in London most likely to be automated or transformed by AI
Customer service managers
14 K employed
Customer service occupations n.e.c.
34 K employed
Graphic and multimedia designers
21 K employed
Specialist nurses
10 K employed
Data analysts
26 K employed
Database administrators and web content technicians
16 K employed
Receptionists
21 K employed
Sales administrators
7.6 K employed
IT project managers
16 K employed
IT user support technicians
12 K employed
Safest from AI
Jobs in London least likely to be affected by AI
Clergy
11 K employed
IT operations technicians
7.6 K employed
Nursing auxiliaries and assistants
51 K employed
Caretakers
6.9 K employed
Midwifery nurses
8.5 K employed
Brokers
24 K employed
Train and tram drivers
8.8 K employed
Dental nurses
8 K employed
Bus and coach drivers
15 K employed
Delivery drivers and couriers
22 K employed
What this means
The exposure score (56.6/100) measures how much of London'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 London, 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 40% of occupation categories in this area