Somewhat Resilient

Last Update: 6/19/2026

AI Resilience Score for Postsecondary Physics Prof:

40.3%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Low

Sustained economic opportunity

Med

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient postsecondary physics teaching is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For postsecondary physics professors, six of seven sources had data, with Anthropic missing. On AI exposure, sources split: AI Resilience Model and Microsoft rated it high, while Will Robots Take My Job rated it low, holding confidence to medium. A weak hiring outlook pulled the score down, landing this career at "Somewhat Resilient."

AI Resilience Report forPhysics Teachers, Postsecondary

$97,360 median salary1,300 annual openingsSOC Code: 25-1054.00

Physics Teachers, Postsecondary are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Physics teachers at the postsecondary level land in "Somewhat Resilient" because AI is already handling a meaningful chunk of their routine work, like drafting syllabi, building reading lists, and grading, which makes up a big portion of the job. At the same time, the heart of what makes a great physics professor (mentoring students, leading hands-on labs, sparking curiosity, and building real research relationships) is still very much a human job that AI cannot replicate.

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This role is somewhat resilient

Physics teachers at the postsecondary level land in "Somewhat Resilient" because AI is already handling a meaningful chunk of their routine work, like drafting syllabi, building reading lists, and grading, which makes up a big portion of the job. At the same time, the heart of what makes a great physics professor (mentoring students, leading hands-on labs, sparking curiosity, and building real research relationships) is still very much a human job that AI cannot replicate.

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Analysis of Current AI Resilience

Postsecondary Physics Prof

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Postsecondary Physics Prof jobs?

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].

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AI Adoption

How fast is AI adoption growing for Postsecondary Physics Prof?

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.

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Will AI replace Postsecondary Physics Prof?

Will AI replace Postsecondary Physics Prof?

Not entirely. We think AI will take over some tasks, but not the whole job.

Physics professors are already using AI tools to handle routine work like designing demos, building homework sets, and processing research data [2]. The OECD confirms that generative AI is actively supporting teachers in classroom tasks [3], and that adoption is accelerating. Our AI Resilience Score of 40.3% reflects this reality: the role faces meaningful pressure, especially on the more mechanical parts of teaching and research.

But the core of this job stays human. Mentoring students through difficult material, running hands-on lab work, building research collaborations, and writing truly original grant proposals all require judgment and relationships that AI cannot replicate. Scientists are already leaning on AI for grant drafting, but chatbot-generated proposals tend to cluster around safe, already-funded ideas [1], which is exactly why human creativity still matters.

The honest concern is job market health. Employer demand through 2034 scores low, so competition for positions is likely to stay tight. Nine in ten faculty also worry that AI will erode students' critical thinking skills [4], which adds pressure on professors to teach more deliberately. The professors who will thrive are those who use AI as a tool while doubling down on the curiosity, mentorship, and expertise that no algorithm can replace.

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Latest AI news for Postsecondary Physics Prof

These AI-related articles highlight the growing importance of integrating AI tools in physics education, essential for aspiring postsecondary physics teachers. For instance, the study on AI-assisted teaching in Grade 11 physics shows promising improvements in student outcomes, suggesting that future educators can enhance learning experiences. Additionally, research on preservice teachers’ perceptions of AI tools indicates that familiarity with these technologies can empower educators to innovate lesson planning and teaching methods. Embracing AI in physics education fosters resilience in adapting to evolving teaching landscapes.

More Career Info

Career: Physics Teachers, Postsecondary

They teach college students about physics, conduct experiments, and guide research to help students understand how the world works through science.

Employment & Wage Data

Median Wage

$97,360

Jobs (2024)

17,100

Growth (2024-34)

+2.5%

Annual Openings

1,300

Education

Doctoral or professional degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

95% ResilienceSupplemental

Provide professional consulting services to government or industry.

2

94% ResilienceCore Task

Write grant proposals to procure external research funding.

3

93% ResilienceSupplemental

Perform administrative duties such as serving as department head.

4

92% ResilienceCore Task

Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.

5

92% ResilienceSupplemental

Participate in campus and community events.

6

91% ResilienceSupplemental

Supervise students' laboratory work.

7

90% ResilienceCore Task

Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.