UK AI Job-Risk Index · SOC 2010 3539

Ranks #10 of 293 for AI exposure (1 = most exposed)

How exposed to AI are business and related associate professionals n.e.c.?

98/100

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

Very high

#10

of 293 UK occupations (1 = most exposed)

£30,032

median full-time pay (ONS ASHE 2020) · 218,000 employee jobs

Business and related associate professionals n.e.c. sits in the very high exposure band: its abilities overlap with current AI applications more than about 98% 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) 1.39, LLM exposure 1.27 (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 3539 (30 of 83 shown). If your job title is here, this page uses the right figures for you.

attaché · appraiser · rate fixer · strategist · gis analyst · o&m analyst · o&m officer · price fixer · rate setter · data analyst · data officer · graphologist · gis assistant · job evaluator · value analyst · ballot adviser · clinical coder · election agent · marine adviser · market analyst · o&m consultant · o&m specialist · value engineer · lottery officer · methods analyst · methods officer · patents officer · political agent · project officer · site controller

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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 £30,032 (ONS ASHE 2020 median, full-time). Switching usually needs retraining; this is a starting point, not advice.

OccupationExposureMedian payDifference
Sales accounts and business development managers92/100£48,032+£18,000
Taxation experts88/100£45,781+£15,749
Financial and accounting technicians94/100£45,467+£15,435
Financial accounts managers96/100£38,466+£8,434
Insurance underwriters94/100£36,270+£6,238

Compare these side by side →

Occupations with similar exposure

← #9 Legal professionals n.e.c. · #11 Credit controllers →

Featured in: The 25 UK jobs most exposed to AI

FAQ: Business and related associate professionals n.e.c. and AI

Will AI replace business and related associate professionals n.e.c.?

The index does not predict job losses. Business and related associate professionals n.e.c. has an AI exposure score of 98/100 (very high band), ranking #10 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?

Business and related associate professionals n.e.c. is one of 21 occupations in its SOC 2010 sub-major group in the index; 1 of the others is more exposed to AI.

How much do business and related associate professionals n.e.c. earn?

Median gross annual pay for full-time employees was £30,032 in ONS ASHE 2020 (Table 14), across about 218,000 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 Sales accounts and business development managers (92/100, £48,032), Taxation experts (88/100, £45,781), Financial and accounting technicians (94/100, £45,467).

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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