Local Authority
AI Job Risk in Harrow
Harrow scores 53.3/100 for AI job risk, ranking #106 out of 261 uk local authorities. That puts it around the middle — a moderate mix of AI-vulnerable and AI-resistant jobs in the local economy.
Ranked #106 of 261 uk local authorities
Rank
#106
around the middle
Total Workforce
130 K
jobs analysed
High-Risk Jobs
16 K
13% of workforce
Out of
261
uk local authorities
Most at Risk
Jobs in Harrow most likely to be automated or transformed by AI
Customer Service Supervisors
75 employed
Customer Service Occupations
1.4 K employed
Managers and Proprietors in Agriculture Related Services
36 employed
Senior Officers in Protective Services
84 employed
Information Technology Professionals
5.4 K employed
Other Administrative Occupations
3.1 K employed
Elementary Administration Occupations
740 employed
Administrative Occupations: Records
1.2 K employed
Food Preparation and Hospitality Trades
1.5 K employed
Secretarial and Related Occupations
2.5 K employed
Safest from AI
Jobs in Harrow least likely to be affected by AI
Elementary Cleaning Occupations
3.9 K employed
Construction and Building Trades
5.2 K employed
Construction Operatives
920 employed
Caring Personal Services
4 K employed
Road Transport Drivers
4.8 K employed
Protective Service Occupations
740 employed
Elementary Construction Occupations
1.5 K employed
Other Educational Professionals
750 employed
Elementary Security Occupations
1.3 K employed
Sales Related Occupations
190 employed
What this means
The exposure score (53.3/100) measures how much of Harrow'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 Harrow, 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