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Local Authority

AI Job Risk in Buckinghamshire

Buckinghamshire scores 54.3/100 for AI job risk, ranking #45 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.

54.3 /100
Very High Risk

Ranked #45 of 261 uk local authorities

54.3
Low risk High risk

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Rank

#45

more exposed than most

Total Workforce

270 K

jobs analysed

High-Risk Jobs

34 K

12% of workforce

Out of

261

uk local authorities

Most at Risk

Jobs in Buckinghamshire most likely to be automated or transformed by AI

1

Customer Service Supervisors

160 employed

90
2

Managers and Proprietors in Agriculture Related Services

670 employed

90
3

Senior Officers in Protective Services

880 employed

90
4

Customer Service Occupations

3 K employed

90
5

Information Technology Professionals

9.2 K employed

85
6

Elementary Administration Occupations

1.2 K employed

80
7

Other Administrative Occupations

6.6 K employed

80
8

Administrative Occupations: Records

2.8 K employed

80
9

Secretarial and Related Occupations

6.1 K employed

78
10

Food Preparation and Hospitality Trades

3 K employed

78

Safest from AI

Jobs in Buckinghamshire least likely to be affected by AI

1

Elementary Cleaning Occupations

5.1 K employed

12
2

Construction and Building Trades

7.1 K employed

18
3

Construction Operatives

1.2 K employed

18
4

Caring Personal Services

9 K employed

30
5

Road Transport Drivers

7 K employed

35
6

Protective Service Occupations

3.7 K employed

35
7

Conservation and Environment Professionals

340 employed

40
8

Other Educational Professionals

2.3 K employed

40
9

Other Elementary Services Occupations

4.6 K employed

40
10

Functional Managers and Directors

17 K employed

40

What this means

The exposure score (54.3/100) measures how much of Buckinghamshire'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 Buckinghamshire, 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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