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Local Authority

AI Job Risk in Stockton-on-Tees

Stockton-on-Tees scores 52.8/100 for AI job risk, ranking #150 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.

52.8 /100
Medium Risk

Ranked #150 of 261 uk local authorities

52.8
Low risk High risk

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Rank

#150

around the middle

Total Workforce

86 K

jobs analysed

High-Risk Jobs

9.7 K

11% of workforce

Out of

261

uk local authorities

Most at Risk

Jobs in Stockton-on-Tees most likely to be automated or transformed by AI

1

Customer Service Supervisors

58 employed

90
2

Managers and Proprietors in Agriculture Related Services

65 employed

90
3

Senior Officers in Protective Services

140 employed

90
4

Customer Service Occupations

1.5 K employed

90
5

Information Technology Professionals

1.4 K employed

85
6

Administrative Occupations: Records

1.1 K employed

80
7

Other Administrative Occupations

2.2 K employed

80
8

Elementary Administration Occupations

450 employed

80
9

Food Preparation and Hospitality Trades

1.1 K employed

78
10

Secretarial and Related Occupations

1.7 K employed

78

Safest from AI

Jobs in Stockton-on-Tees least likely to be affected by AI

1

Elementary Cleaning Occupations

2.3 K employed

12
2

Construction Operatives

750 employed

18
3

Construction and Building Trades

2 K employed

18
4

Caring Personal Services

5.2 K employed

30
5

Protective Service Occupations

1.5 K employed

35
6

Road Transport Drivers

3 K employed

35
7

Other Elementary Services Occupations

2.3 K employed

40
8

Elementary Security Occupations

980 employed

40
9

Elementary Construction Occupations

460 employed

40
10

Conservation and Environment Professionals

75 employed

40

What this means

The exposure score (52.8/100) measures how much of Stockton-on-Tees'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 Stockton-on-Tees, 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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