Eighty-six per cent of this work cannot be sped up. The one occupation that breaks the pattern is the one that supervises the rest.
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
First-Line Supervisors of Mechanics and Installers are the least protected occupation in the group at 50 per cent. Tire Repairers are at 100 per cent.
Maintenance and Repair Workers, the largest occupation here at 1.42 million people, are at 87 per cent protected with nothing 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.
This is now the third group where the supervisor is markedly more exposed than the people supervised, and the reason is always the same: supervision generates documents.
Which is worth remembering when somebody assumes promotion is protection. Across this report it is usually the opposite.
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 1,059 tasks in these 50 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.