UK AI Job-Risk Index · SOC 2010 8119
Ranks #275 of 293 for AI exposure (1 = most exposed)
How exposed to AI are process operatives n.e.c.?
7/100
AI exposure score (percentile of 365 UK occupations)
Very low#275
of 293 UK occupations (1 = most exposed)
£27,800
median full-time pay (ONS ASHE 2020) · 6,000 employee jobs
Process operatives n.e.c. sits in the very low exposure band: its abilities overlap with current AI applications more than about 7% 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) -1.46, LLM exposure -1.47 (standardised; 0 is the average occupation). Skill level: Level 2. Pay and job counts are 2020 figures, so use them to compare occupations rather than as current salaries.
Job titles in this occupation
Titles the ONS SOC 2010 coding index places in unit group 8119 (30 of 75 shown). If your job title is here, this page uses the right figures for you.
pugger · stover · fritter · pug man · mill hand · ore dryer · clay dryer · clay maker · gut gauger · kiln firer · lino maker · lino mixer · marl mixer · pan feeder · salt dryer · sand dryer · slaker man · clay feeder · glass mixer · gut cleaner · gut scraper · gut spinner · gut twister · lime burner · lime miller · mill feeder · pearl dryer · putty maker · putty mixer · slab caster
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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 £27,800 (ONS ASHE 2020 median, full-time). Switching usually needs retraining; this is a starting point, not advice.
| Occupation | Exposure | Median pay | Difference |
|---|---|---|---|
| Road construction operatives | 5/100 | £30,535 | +£2,735 |
| Tyre, exhaust and windscreen fitters | 5/100 | £22,278 | −£5,522 |
Occupations with similar exposure
- Farm workers (7/100)
- Butchers (7/100)
- Vehicle paint technicians (6/100)
- Street cleaners (6/100)
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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