UK AI Job-Risk Index · SOC 2010 5241
Ranks #209 of 293 for AI exposure (1 = most exposed)
How exposed to AI are electricians and electrical fitters?
33/100
AI exposure score (percentile across all 365 occupations DfE scored)
Low#209
of 293 UK occupations (1 = most exposed)
£33,657
median full-time pay (ONS ASHE 2020) · 134,000 employee jobs
Electricians and electrical fitters sits in the low exposure band: its abilities overlap with current AI applications more than about 33% 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) -0.62, LLM exposure -0.78 (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 5241 (30 of 50 shown). If your job title is here, this page uses the right figures for you.
fan fitter · electrician · rotor maker · dynamo fitter · film engineer · magneto maker · pillar fitter · switch fitter · relay engineer · cinema engineer · commutator hand · wiring engineer · armature builder · electrical wirer · electro mechanic · magneto repairer · switchgear maker · alternator fitter · armature balancer · armature finisher · controller fitter · electrical fitter · electronic fitter · lighting engineer · switchboard maker · switchgear fitter · transformer maker · commutator builder · electrical wireman · switchboard fitter
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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 £33,657 (ONS ASHE 2020 median, full-time). Switching usually needs retraining; this is a starting point, not advice.
| Occupation | Exposure | Median pay | Difference |
|---|---|---|---|
| Air-conditioning and refrigeration engineers | 31/100 | £35,663 | +£2,006 |
| Electrical and electronic trades n.e.c. | 27/100 | £34,941 | +£1,284 |
| Metal working production and maintenance fitters | 14/100 | £32,934 | −£723 |
| Tool makers, tool fitters and markers-out | 30/100 | £31,579 | −£2,078 |
| Vehicle paint technicians | 6/100 | £29,827 | −£3,830 |
Occupations with similar exposure
- Hairdressers and barbers (33/100)
- Dental nurses (33/100)
- Undertakers, mortuary and crematorium assistants (34/100)
- Elementary security occupations n.e.c. (34/100)
← #208 Hairdressers and barbers · #210 Waiters and waitresses →
Featured in: The best-paid UK jobs with below-average AI exposure
FAQ: Electricians and electrical fitters and AI
Will AI replace electricians and electrical fitters?
The index does not predict job losses. Electricians and electrical fitters has an AI exposure score of 33/100 (low band), ranking #209 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?
Electricians and electrical fitters is one of 13 occupations in its SOC 2010 sub-major group in the index; 3 of the others are more exposed to AI.
How much do electricians and electrical fitters earn?
Median gross annual pay for full-time employees was £33,657 in ONS ASHE 2020 (Table 14), across about 134,000 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 Air-conditioning and refrigeration engineers (31/100, £35,663), Electrical and electronic trades n.e.c. (27/100, £34,941), Metal working production and maintenance fitters (14/100, £32,934).
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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