UK AI Job-Risk Index · SOC 2010 5314

Ranks #251 of 293 for AI exposure (1 = most exposed)

How exposed to AI are plumbers and heating and ventilating engineers?

18/100

AI exposure score (percentile across all 365 occupations DfE scored)

Very low

#251

of 293 UK occupations (1 = most exposed)

£32,344

median full-time pay (ONS ASHE 2020) · 57,000 employee jobs

Plumbers and heating and ventilating engineers sits in the very low exposure band: its abilities overlap with current AI applications more than about 18% of the 365 UK occupations the Department for Education scored. Lower exposure usually means more of the work depends on physical, practical or in-person abilities that current AI applications do not cover well. It does not mean the job will be untouched by technology.

Underlying scores: AIOE (all AI) -1.14, LLM exposure -1.17 (standardised; 0 is the average occupation). Skill level: Level 3. Pay and job counts are 2020 figures, so use them to compare occupations rather than as current salaries.

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Job titles in this occupation

Titles the ONS SOC 2010 coding index places in unit group 5314 (30 of 42 shown). If your job title is here, this page uses the right figures for you.

plumber · gas fitter · gas engineer · gas linesman · steam fitter · water fitter · gas technician · heating fitter · plumber-welder · bathroom fitter · heating adviser · sanitary fitter · biomass engineer · heating engineer · sprinkler fitter · thermal engineer · ventilator fixer · heating installer · plumbing engineer · sanitary engineer · bathroom installer · coupling connector · heating consultant · ventilation fitter · plumbing contractor · plumbing technician · ventilating engineer · ventilation engineer · plumber and decorator · plumber and gasfitter

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Lower-risk related jobs

Occupations in the same SOC 2010 sub-major group with a lower AI exposure score, highest-paid first. Pay difference is against £32,344 (ONS ASHE 2020 median, full-time). Switching usually needs retraining; this is a starting point, not advice.

OccupationExposureMedian payDifference
Carpenters and joiners10/100£28,473−£3,871
Floorers and wall tilers2/100£27,376−£4,968
Roofers, roof tilers and slaters1/100£26,989−£5,355
Painters and decorators4/100£25,617−£6,727
Glaziers, window fabricators and fitters11/100£23,492−£8,852

Compare these side by side →

Occupations with similar exposure

← #250 Vehicle technicians, mechanics and electricians · #252 Plastics process operatives →

Featured in: The best-paid UK jobs with below-average AI exposure

FAQ: Plumbers and heating and ventilating engineers and AI

Will AI replace plumbers and heating and ventilating engineers?

The index does not predict job losses. Plumbers and heating and ventilating engineers has an AI exposure score of 18/100 (very low band), ranking #251 of 293 UK occupations, where 1 is the most exposed. Lower exposure means more of the work relies on abilities current AI applications cover less well.

How does this compare with similar jobs?

Plumbers and heating and ventilating engineers is one of 8 occupations in its SOC 2010 sub-major group in the index; 2 of the others are more exposed to AI.

How much do plumbers and heating and ventilating engineers earn?

Median gross annual pay for full-time employees was £32,344 in ONS ASHE 2020 (Table 14), across about 57,000 employee jobs. These are 2020 figures, so use them to compare jobs rather than as current salaries.

Which related jobs are less exposed to AI?

In the same sub-major group, lower-exposure occupations include Carpenters and joiners (10/100, £28,473), Floorers and wall tilers (2/100, £27,376), Roofers, roof tilers and slaters (1/100, £26,989).

Where does this data come from?

AI exposure uses Department for Education (2023) AI Occupational Exposure (AIOE) scores; pay and job counts come from ONS ASHE 2020. Job titles come from the ONS SOC 2010 coding index.

Source: Department for Education (2023), The impact of AI on UK jobs and training (AIOE scores); ONS ASHE 2020 Table 14; job titles from the ONS SOC 2010 coding index (v7). Exposure is not a prediction of job loss. Methodology · Embed this data

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