Region
AI Job Risk in South East
South East scores 56.7/100 for AI job risk, ranking #4 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 #4 of 12 uk regions
Rank
#4
more exposed than most
Total Workforce
3.7 M
jobs analysed
High-Risk Jobs
110 K
3% of workforce
Out of
12
uk regions
Most at Risk
Jobs in South East most likely to be automated or transformed by AI
Customer service occupations n.e.c.
35 K employed
Customer service supervisors
5.6 K employed
Customer service managers
18 K employed
Travel agents
6.6 K employed
Legal secretaries
7.2 K employed
Graphic and multimedia designers
13 K employed
Data analysts
11 K employed
Insurance underwriters
4.6 K employed
Specialist nurses
7.7 K employed
Database administrators and web content technicians
6.1 K employed
Safest from AI
Jobs in South East least likely to be affected by AI
Children's nurses
5 K employed
Clergy
3.8 K employed
IT operations technicians
14 K employed
Laboratory technicians
10 K employed
Construction operatives n.e.c.
12 K employed
Nursing auxiliaries and assistants
42 K employed
Caretakers
6.7 K employed
Midwifery nurses
5.4 K employed
Brokers
9.1 K employed
Merchandisers
3.9 K employed
What this means
The exposure score (56.7/100) measures how much of South East'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 South East, 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