Will AI replace mathematical science teachers, postsecondary?
Not entirely. Parts of the job are likely to change as AI takes over routine tasks. Mathematical Science Teachers, Postsecondary score 54 out of 100 (elevated exposure), #149 of 923 US jobs. AI could speed up 19 of the job's 24 tasks, 7 of them on its own, while 5 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which mathematical science teachers, postsecondary tasks can AI do?
The most exposed tasks include "Prepare and deliver lectures to undergraduate or graduate students on topics such as linear algebra, differential equations, and discrete mathematics"; "Maintain student attendance records, grades, and other required records"; "Prepare course materials, such as syllabi, homework assignments, and handouts".
Which mathematical science teachers, postsecondary tasks are hardest for AI?
Tasks with little or no AI speed-up include "Maintain regularly scheduled office hours to advise and assist students"; "Initiate, facilitate, and moderate classroom discussions"; "Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues".
Are people already using AI for this work?
Yes. In April–May 2026, 10 of the 24 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as mathematical science teachers, postsecondary, and what do they earn?
About 47,670 people in the US, with median pay of $79,940 a year (BLS, May 2025).