UK AI Job-Risk Index · SOC 2010 2311
Ranks #39 of 293 for AI exposure (1 = most exposed)
How exposed to AI are higher education teaching professionals?
89/100
AI exposure score (percentile across all 365 occupations DfE scored)
Very high#39
of 293 UK occupations (1 = most exposed)
£51,068
median full-time pay (ONS ASHE 2020) · 140,000 employee jobs
Higher education teaching professionals sits in the very high exposure band: its abilities overlap with current AI applications more than about 89% of the 365 UK occupations the Department for Education scored. High exposure usually means AI can help with many of the tasks involved, such as drafting, analysis or information handling. That can change how the job is done, but it is not a forecast that the job will disappear.
Underlying scores: AIOE (all AI) 1.22, LLM exposure 1.42 (standardised; 0 is the average occupation). Skill level: Level 4. 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 2311. If your job title is here, this page uses the right figures for you.
midwife tutor · clinical tutor · clinical teacher · nursing lecturer · clinical lecturer · university reader · midwifery lecturer · political lecturer · university teacher · university lecturer · polytechnic lecturer · university professor · university demonstrator
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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 £51,068 (ONS ASHE 2020 median, full-time). Switching usually needs retraining; this is a starting point, not advice.
| Occupation | Exposure | Median pay | Difference |
|---|---|---|---|
| Senior professionals of educational establishments | 85/100 | £56,508 | +£5,440 |
| Secondary education teaching professionals | 70/100 | £40,766 | −£10,302 |
| Primary and nursery education teaching professionals | 64/100 | £36,755 | −£14,313 |
| Special needs education teaching professionals | 62/100 | £33,215 | −£17,853 |
| Teaching and other educational professionals n.e.c. | 85/100 | £26,872 | −£24,196 |
Occupations with similar exposure
- Advertising accounts managers and creative directors (88/100)
- Taxation experts (88/100)
- Pensions and insurance clerks and assistants (89/100)
- Human resources and industrial relations officers (89/100)
← #38 Pensions and insurance clerks and assistants · #40 Advertising accounts managers and creative directors →
FAQ: Higher education teaching professionals and AI
Will AI replace higher education teaching professionals?
The index does not predict job losses. Higher education teaching professionals has an AI exposure score of 89/100 (very high band), ranking #39 of 293 UK occupations, where 1 is the most exposed. High exposure means AI can help with many of the tasks involved, which usually changes how the job is done.
How does this compare with similar jobs?
Higher education teaching professionals 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 higher education teaching professionals earn?
Median gross annual pay for full-time employees was £51,068 in ONS ASHE 2020 (Table 14), across about 140,000 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 Senior professionals of educational establishments (85/100, £56,508), Secondary education teaching professionals (70/100, £40,766), Primary and nursery education teaching professionals (64/100, £36,755).
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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