AI Job Risk UK Local Authorities Kingston upon Thames
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Local Authority

AI Job Risk in Kingston upon Thames

Kingston upon Thames scores 55.2/100 for AI job risk, ranking #20 out of 261 uk local authorities. That puts it in the top third for AI exposure — a relatively large share of local jobs are in occupations that AI can automate or significantly change.

55.2 /100
Very High Risk

Ranked #20 of 261 uk local authorities

55.2
Low risk High risk

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Rank

#20

more exposed than most

Total Workforce

84 K

jobs analysed

High-Risk Jobs

11 K

13% of workforce

Out of

261

uk local authorities

Most at Risk

Jobs in Kingston upon Thames most likely to be automated or transformed by AI

1

Senior Officers in Protective Services

140 employed

90
2

Customer Service Supervisors

38 employed

90
3

Managers and Proprietors in Agriculture Related Services

71 employed

90
4

Customer Service Occupations

850 employed

90
5

Information Technology Professionals

3.7 K employed

85
6

Elementary Administration Occupations

350 employed

80
7

Administrative Occupations: Records

860 employed

80
8

Other Administrative Occupations

1.7 K 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 Kingston upon Thames least likely to be affected by AI

1

Elementary Cleaning Occupations

1.6 K employed

12
2

Construction and Building Trades

1.7 K employed

18
3

Construction Operatives

310 employed

18
4

Caring Personal Services

2.3 K employed

30
5

Road Transport Drivers

1.9 K employed

35
6

Protective Service Occupations

780 employed

35
7

Elementary Security Occupations

490 employed

40
8

Elementary Construction Occupations

240 employed

40
9

Other Educational Professionals

780 employed

40
10

Other Elementary Services Occupations

1.8 K employed

40

What this means

The exposure score (55.2/100) measures how much of Kingston upon Thames'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 Kingston upon Thames, 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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