Ninety per cent of construction tasks cannot be sped up by an AI, the highest figure of any group, and one per cent is reachable with a chat window today.
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
Zero per cent reachable today, 3 per cent needing a tool. This is as close to untouched as any occupation in the report gets.
Tapers are at 100 per cent. Energy Auditors, the least protected job in the group at 29 per cent, are the exception that shows the rule: their work is inspection and reporting.
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 measures one thing: whether a language model can halve the time a task takes. Construction sits at the protected end because a model cannot lay bricks.
That says nothing about wages, demand, physical toll, or the entirely separate question of what robotics does to the same work. A job can be untouched by this report and still be a poor bet, and the reverse.
Construction at 90 per cent protected against the People profession at 23 per cent is the most quotable line in this report, and the most likely to be misused.
The honest version is narrow: a language model cannot do physical work. It is not a ranking of which careers are worth having, and anybody presenting it that way has stopped describing the data.
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 1,169 tasks in these 61 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.