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Local Authority

AI Job Risk in Stoke-on-Trent

Stoke-on-Trent scores 51.1/100 for AI job risk, ranking #244 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.

51.1 /100
Very Low Risk

Ranked #244 of 261 uk local authorities

51.1
Low risk High risk

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Rank

#244

less exposed than most

Total Workforce

110 K

jobs analysed

High-Risk Jobs

13 K

11% of workforce

Out of

261

uk local authorities

Most at Risk

Jobs in Stoke-on-Trent most likely to be automated or transformed by AI

1

Customer Service Supervisors

180 employed

90
2

Senior Officers in Protective Services

59 employed

90
3

Customer Service Occupations

2.5 K employed

90
4

Managers and Proprietors in Agriculture Related Services

41 employed

90
5

Information Technology Professionals

1.5 K employed

85
6

Other Administrative Occupations

2.5 K employed

80
7

Elementary Administration Occupations

720 employed

80
8

Administrative Occupations: Records

1.6 K employed

80
9

Secretarial and Related Occupations

1.9 K employed

78
10

Food Preparation and Hospitality Trades

1.7 K employed

78

Safest from AI

Jobs in Stoke-on-Trent least likely to be affected by AI

1

Elementary Cleaning Occupations

3.4 K employed

12
2

Construction and Building Trades

3.2 K employed

18
3

Construction Operatives

760 employed

18
4

Caring Personal Services

9.4 K employed

30
5

Road Transport Drivers

6.3 K employed

35
6

Protective Service Occupations

1.1 K employed

35
7

Other Educational Professionals

570 employed

40
8

Sales Related Occupations

350 employed

40
9

Functional Managers and Directors

1.4 K employed

40
10

Conservation and Environment Professionals

53 employed

40

What this means

The exposure score (51.1/100) measures how much of Stoke-on-Trent'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 Stoke-on-Trent, 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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