Of the 24 tasks O*NET lists for compensation, benefits, and job analysis specialists, 7 could be done in half the time with a chat window today. 9 cannot be sped up at all. Here is which.
Exposure means published research judged an AI could halve the time a task takes, at the same quality. It does not mean the task stops needing a person. How to read this
This role has the most protected work in the People profession at 38 per cent, and the reason is worth understanding. The exposed part is analytical: writing job descriptions, building salary scales, preparing classification reports, analysing occupational data. The protected part is nearly all judgement with consequences attached.
Deciding whether a role is exempt. Ensuring compliance with reporting requirements. Negotiating collective agreements. Sitting with employees to work out what a job actually involves. These are tasks where being wrong costs money or ends up in a tribunal, and the rubric puts work needing that much human involvement out of reach.
It is also the role where pay transparency legislation has changed the ground underneath the ratings. Published salary ranges are now public data in a way they were not in 2023, which makes the benchmarking half of this job easier than these figures suggest.
These are O*NET's task statements for this occupation, exactly as written, sorted into the three bands by the ratings behind this report. Nothing has been reworded.
Nobody surveyed an employer. Tasks are counted equally, so a percentage here is a share of the list rather than a share of your week. And the ratings were made in 2023, which makes every figure a floor rather than a ceiling.
It must never be used to select anyone for redundancy. The full limits are here.
This is the standard task list for the title. The useful next question is which of the tasks you actually do should go near AI, and which should not.
Exposure ratings from Eloundou, Manning, Mishkin and Rock, GPTs are GPTs: Labor market impact potential of LLMs, Science 384, 1306–1308, 2024, used under the MIT licence. This page includes information from the O*NET Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. People Team AI has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. Employment figures from the US Bureau of Labor Statistics.