Fifty-two per cent of community and social work cannot be sped up. It is also the second smallest group in the report, at fourteen occupations, so read it carefully.
Exposure means published research judged an AI could halve the time a task takes, at the same quality. It is not a prediction about any job. How to read this
The dividing line is whether the role is mostly being present with somebody or mostly producing materials and programmes.
Social and Human Service Assistants, the largest occupation here at 398,000 people, sit at 55 per cent protected with 30 per cent reachable today.
Solid is reachable with a chat window today, pale needs software building first, grey cannot be sped up. Task counts are shown because several of these rest on fewer than twenty.
If your organisation has anything resembling pastoral support, this is the closest occupational profile to it, and it is among the more protected work in the economy.
Worth knowing when somebody proposes automating a wellbeing service. The listening is the job, and the listening is what the ratings say cannot be halved.
There is no data here on what anybody actually does with AI. A dataset that appears to measure it was removed from this report because its meaning could not be stated. The reasoning is on the limits page.
The exposure ratings cover all 296 tasks in these 14 occupations with no gaps, and were made in 2023 against the model capabilities of that year. Read every figure as a floor.
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.