Local Authority
AI Job Risk in Richmond upon Thames
Richmond upon Thames scores 55.6/100 for AI job risk, ranking #9 out of 261 uk local authorities. 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 #9 of 261 uk local authorities
Rank
#9
more exposed than most
Total Workforce
98 K
jobs analysed
High-Risk Jobs
10 K
11% of workforce
Out of
261
uk local authorities
Most at Risk
Jobs in Richmond upon Thames most likely to be automated or transformed by AI
Managers and Proprietors in Agriculture Related Services
85 employed
Customer Service Supervisors
31 employed
Senior Officers in Protective Services
100 employed
Customer Service Occupations
730 employed
Information Technology Professionals
4 K employed
Administrative Occupations: Records
680 employed
Elementary Administration Occupations
290 employed
Other Administrative Occupations
1.6 K employed
Food Preparation and Hospitality Trades
860 employed
Secretarial and Related Occupations
1.9 K employed
Safest from AI
Jobs in Richmond upon Thames least likely to be affected by AI
Elementary Cleaning Occupations
840 employed
Construction and Building Trades
1.3 K employed
Construction Operatives
220 employed
Caring Personal Services
1.6 K employed
Protective Service Occupations
720 employed
Road Transport Drivers
1.4 K employed
Elementary Security Occupations
490 employed
Conservation and Environment Professionals
180 employed
Other Educational Professionals
950 employed
Sales Related Occupations
160 employed
What this means
The exposure score (55.6/100) measures how much of Richmond upon Thames'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 Richmond upon Thames, 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 59% of occupation categories in this area