Local Authority
AI Job Risk in Pendle
Pendle scores 52.7/100 for AI job risk, ranking #156 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 #156 of 261 uk local authorities
Rank
#156
around the middle
Total Workforce
40 K
jobs analysed
High-Risk Jobs
4.3 K
11% of workforce
Out of
261
uk local authorities
Most at Risk
Jobs in Pendle most likely to be automated or transformed by AI
Senior Officers in Protective Services
23 employed
Customer Service Supervisors
34 employed
Customer Service Occupations
690 employed
Managers and Proprietors in Agriculture Related Services
46 employed
Information Technology Professionals
500 employed
Elementary Administration Occupations
200 employed
Other Administrative Occupations
870 employed
Administrative Occupations: Records
420 employed
Food Preparation and Hospitality Trades
880 employed
Secretarial and Related Occupations
670 employed
Safest from AI
Jobs in Pendle least likely to be affected by AI
Elementary Cleaning Occupations
1 K employed
Construction and Building Trades
1.2 K employed
Construction Operatives
190 employed
Caring Personal Services
2.4 K employed
Protective Service Occupations
340 employed
Road Transport Drivers
1.9 K employed
Sales Related Occupations
100 employed
Conservation and Environment Professionals
31 employed
Functional Managers and Directors
790 employed
Elementary Construction Occupations
300 employed
What this means
The exposure score (52.7/100) measures how much of Pendle'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 Pendle, 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