Of the 24 tasks O*NET lists for compensation and benefits managers, 5 could be done in half the time with a chat window today. 7 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
Five of twenty-four tasks are reachable with a chat window today, and they split into two kinds. Three are drafting: formulating policy, developing better processes, advising management on equal opportunity and harassment matters. Two are analysis: forecasting headcount, and working out what is causing a personnel problem.
That second pair is worth pausing on, because it is easy to read as work that needs a person and is not. "Analyse statistical data to determine causes of personnel problems" is what you are doing when you go looking for a pay gap, an attrition cluster in one team, or a grade where the women are all at the bottom of the band. That is data work, and it is the kind an AI is genuinely good at.
What stays out of reach is running things. Administering the benefit programmes, negotiating agreements, contracting with vendors, representing the organisation at hearings, managing the people who report to you. So the honest read is not that the thinking is exposed and the doing is safe. It is that drafting and analysis moved, and execution and negotiation did not.
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.