AI Resilience Report forPhysics Teachers, Postsecondary

Right now, AI is mostly augmenting physics professors rather than replacing them — and a lot of the action is happening on the routine tasks listed in your job profile. The American Association of Physics Teachers actually runs a regular column called AI Physics Tools (AI@TPT) in The Physics Teacher, edited by Jochen Kuhn and Stefan Küchemann, and recent 2026 entries show instructors using DeepSeek and dynamic visualization in physics education, generative AI to support inquiry in a free-fall experiment, and ChatGPT and Phyphox in an AI-assisted classroom approach to design demos and homework. The bigger research tasks are getting AI help too: a Nature news story from February 2026 ^[1] reports that scientists are increasingly turning to artificial-intelligence systems for help drafting the grant proposals that fund their careers, though chatbot-drafted proposals tend to look more like safe, previously funded ideas.

At the same time, MIT physicists are pushing AI into the research itself — researchers are developing real-time AI algorithms to handle the data deluge from collider experiments, according to a March 2026 MIT News interview ^[2].

Adoption is moving fast, but with real friction. The OECD's Digital Education Outlook 2026 ^[3] notes that generative AI is already used by teachers alone to support their work in the classroom — exactly the syllabus, gradebook, and reading-list tasks marked 70–82% automatable. Cheap tools like ChatGPT cost far less than a teaching assistant, which speeds adoption.

But faculty are pushing back: an Inside Higher Ed survey ^[4] found that nine in 10 faculty members say generative AI will diminish students' critical thinking skills, and 95 percent say its impact will increase students' overreliance on AI tools, while about 68 percent of faculty said their institutions have not prepared faculty to use AI in teaching, student mentorship and scholarship. The tasks AI struggles with — mentoring, recruiting students, hands-on lab work, conference networking, and writing truly original grants — are exactly where humans still shine. So if you love physics, the path forward is to become what MIT calls a "centaur scientist" — researchers with genuine interdisciplinary expertise: someone who uses AI as a powerful sidekick while bringing the curiosity, mentorship, and creativity that machines can't.