Fifty-three per cent of an elementary teacher's listed tasks cannot be sped up, and the reason is the same one that protects interviewing: the work is being with people while it happens.
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
Thirteen per cent of the work is reachable with a chat window, mostly planning and materials. The majority is not, because it happens in front of thirty children.
Substitute Teachers are the most protected occupation in the group at 83 per cent, which is the same finding sharpened: the less planning in the role, the more protected it is.
Postsecondary teaching occupations cluster at the reachable end, because more of the work is writing: curricula, materials, assessment, research, publication.
Family and Consumer Sciences Teachers, Postsecondary, are the least protected occupation in the group at 9 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.
Designing a curriculum, building materials, assessing whether it landed. That is the exposed half of the teaching profession, and it is exactly what the People chapter found for Training and Development Specialists at 40 per cent reachable today.
Two independent routes to the same answer: making the course is reachable, standing in front of the room is not.
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 1,651 tasks in these 62 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.