Local Authority
AI Job Risk in Hart
Hart scores 51.8/100 for AI job risk, ranking #220 out of 261 uk local authorities. 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 #220 of 261 uk local authorities
Rank
#220
less exposed than most
Total Workforce
7.5 K
jobs analysed
High-Risk Jobs
1.8 K
24% of workforce
Out of
261
uk local authorities
Most at Risk
Jobs in Hart most likely to be automated or transformed by AI
Managers and Proprietors in Agriculture Related Services
120 employed
Senior Officers in Protective Services
300 employed
Production Managers and Directors
1.4 K employed
Health and Social Services Managers and Directors
220 employed
Managers and Proprietors in Hospitality and Leisure Services
550 employed
Functional Managers and Directors
3.5 K employed
Safest from AI
Jobs in Hart least likely to be affected by AI
Functional Managers and Directors
3.5 K employed
Health and Social Services Managers and Directors
220 employed
Managers and Proprietors in Hospitality and Leisure Services
550 employed
Production Managers and Directors
1.4 K employed
Managers and Proprietors in Agriculture Related Services
120 employed
Senior Officers in Protective Services
300 employed
What this means
The exposure score (51.8/100) measures how much of Hart'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 Hart, 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 67% of occupation categories in this area