Eight occupations, 180 tasks, and 79 per cent of the work cannot be sped up. Janitors and Cleaners alone employ two million people.
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
Nothing reachable with a chat window and 4 per cent in the band needing a tool. It is one of the most protected profiles in the report on one of the largest workforces.
The supervisor is again the exception: First-Line Supervisors of Landscaping are the least protected here at 57 per cent.
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.
A great deal of writing about AI and work implies the effect is broad and even. This group is two million people for whom the measured effect is close to nothing.
Any claim about AI and employment that does not account for work like this is describing a slice of the economy and calling it the whole thing.
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 180 tasks in these 8 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.