AI Job Risk UK Local Authorities Newcastle-under-Lyme
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Local Authority

AI Job Risk in Newcastle-under-Lyme

Newcastle-under-Lyme scores 52.4/100 for AI job risk, ranking #174 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.

52.4 /100
Low Risk

Ranked #174 of 261 uk local authorities

52.4
Low risk High risk

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Rank

#174

less exposed than most

Total Workforce

57 K

jobs analysed

High-Risk Jobs

6.4 K

11% of workforce

Out of

261

uk local authorities

Most at Risk

Jobs in Newcastle-under-Lyme most likely to be automated or transformed by AI

1

Senior Officers in Protective Services

39 employed

90
2

Customer Service Occupations

980 employed

90
3

Managers and Proprietors in Agriculture Related Services

97 employed

90
4

Customer Service Supervisors

75 employed

90
5

Information Technology Professionals

1 K employed

85
6

Other Administrative Occupations

1.4 K employed

80
7

Elementary Administration Occupations

290 employed

80
8

Administrative Occupations: Records

810 employed

80
9

Food Preparation and Hospitality Trades

610 employed

78
10

Secretarial and Related Occupations

1.1 K employed

78

Safest from AI

Jobs in Newcastle-under-Lyme least likely to be affected by AI

1

Elementary Cleaning Occupations

1.4 K employed

12
2

Construction Operatives

340 employed

18
3

Construction and Building Trades

1.7 K employed

18
4

Caring Personal Services

3.5 K employed

30
5

Road Transport Drivers

2 K employed

35
6

Protective Service Occupations

640 employed

35
7

Other Educational Professionals

460 employed

40
8

Elementary Security Occupations

470 employed

40
9

Conservation and Environment Professionals

57 employed

40
10

Other Elementary Services Occupations

1.4 K employed

40

What this means

The exposure score (52.4/100) measures how much of Newcastle-under-Lyme'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 Newcastle-under-Lyme, 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

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