Somewhat Resilient
Last Update: 6/19/2026
AI Resilience Score for Math Science Teachers, Postsecondary:
44.1%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
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Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
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Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
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This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forMathematical Science Teachers, Postsecondary
$79,350 median salary•4,400 annual openings•SOC Code: 25-1022.00
Mathematical Science Teachers, Postsecondary are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Math professors are "Somewhat Resilient" because AI is genuinely changing parts of their daily workflow, even though it is not replacing them outright. Tasks like answering routine student questions and building course materials are already being handled or assisted by AI tools, which means the job is shifting toward the work that AI cannot do well, including mentoring students, designing thoughtful curriculum, and judging when AI-generated content is actually wrong.
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Math professors are "Somewhat Resilient" because AI is genuinely changing parts of their daily workflow, even though it is not replacing them outright. Tasks like answering routine student questions and building course materials are already being handled or assisted by AI tools, which means the job is shifting toward the work that AI cannot do well, including mentoring students, designing thoughtful curriculum, and judging when AI-generated content is actually wrong.
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Math Science Teachers, Postsecondary
Updated Quarterly
How is AI changing Math Science Teachers, Postsecondary jobs?
Right now, AI isn't replacing math professors — it's mostly being used alongside them, especially for the tasks that surround teaching. At the University of Texas Permian Basin, professor Eric Baker built an AI Teaching Assistant using ChatGPT that lets students ask questions about course material, due dates, and grading rubrics at any time [1], essentially extending office hours to 2 a.m. — directly augmenting one of the most automation-prone tasks in this job. Researchers are also using AI to train future teachers: a Kennesaw State project funded by a three-year, $300,000 National Science Foundation grant created AI student-agents that simulate classroom interactions [2] so pre-service math teachers can practice responding to student thinking.
On the course-design side, Arizona State University quietly launched an AI course builder that pulls from faculty content [3], and Education Week reports the National Council of Teachers of Mathematics is urging educators to stay current with AI trends while building healthy skepticism about its limitations [4]. The deeper, human-centered tasks — curriculum design, committee work, mentoring — remain firmly with people.
Sources
How fast is AI adoption growing for Math Science Teachers, Postsecondary?
Adoption is happening fast in some places and slowly in others. Veteran math educator Lew Ludwig writes in the Mathematical Association of America's blog that many junior faculty already use AI as a "thought partner" but do so quietly because colleagues view AI users with suspicion [5] — a social barrier that slows open adoption. On the other hand, the AAUP's spring 2026 Academe issue warns that administrators are signing ed-tech contracts and launching AI initiatives without consulting faculty governance, because AI offers "another seeming way to do more with less" [6] at underfunded institutions — a powerful economic push from the top down.
The good news for students worried about their future professors: as one Cal Poly Pomona mathematician put it, the calculator didn't replace mathematicians, and the skills that matter most — creativity, critical thinking, mentorship, and judging when AI is wrong — are exactly the ones AI is worst at. Learning to work with these tools is probably the smartest move you can make.
Sources
Will AI replace Math Science Teachers, Postsecondary?
Not entirely. We think AI will take over some tasks, but not the whole job.
Our data gives this role a 44.1% AI Resilience Score, which means real change is coming, but replacement is not the right word. Right now, AI is handling the surrounding work: answering student questions at 2 a.m. through AI teaching assistants [1], helping design course materials [3], and even simulating student interactions so new teachers can practice [2]. That frees up professors for the harder, more human work.
And that human work is substantial. Mentoring students through confusion, designing curriculum that actually builds understanding, judging when an AI-generated proof is subtly wrong, these are things a chatbot cannot reliably do. As one mathematician put it, the calculator did not replace mathematicians, and AI is similarly weakest exactly where math teaching is hardest: creativity, critical thinking, and knowing when the tool is lying to you [5].
The job market picture is moderate, not booming. Employer demand and wages both sit in the middle range, so this is not a career coasting on guaranteed security. The smarter path is to treat AI as a collaborator, stay current with how it is reshaping pedagogy [4], and build the mentorship and judgment skills that will always need a human behind them.
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Latest AI news for Math Science Teachers, Postsecondary
These articles offer valuable insights for future Mathematical Science Teachers. The systematic review on AI tutoring highlights how adaptive learning can enhance student engagement and understanding, crucial for teaching math. Meanwhile, the study on teachers’ readiness for AI adoption provides a mathematical perspective on integrating technology into classrooms, preparing educators to leverage these tools effectively. Embracing AI not only enhances teaching strategies but also fosters resilience in adapting to evolving educational landscapes, ensuring postsecondary educators remain impactful in their roles.
Google and Fab AI Demonstrate AI’s Impact on Math Education
www.blackengineer.com • 6/19/2026
Last week, Google and Fab AI, recognized for advancing the application of Artificial Intelligence in education for low- and middle-income...
Pre-service mathematics teachers' use of artificial intelligence: an extended technology acceptance model with self-efficacy (the case of ChatGPT)
www.frontiersin.org • 5/20/2026
IntroductionThis study examines pre-service mathematics teachers' use of ChatGPT in instructional processes within the framework of the Technology...
The Quiet Math of EdTech Can AI Tutors Really Teach? Inside the Data, the Classrooms, and the Guardrails
medium.com • 9/8/2025
A Systematic Review of Adaptive Learning and AI‑Based Tutoring — Taxonomy, Methods, Efficacy, and Implementation Considerations.
Quantifying teachers’ readiness for artificial intelligence adoption in education: a mathematical modeling perspective
www.nature.com • 7/18/2025
We developed a mathematical model based on the classical SEIR (Susceptible–Exposed–Infective–Recovered) framework to predict teachers'...
The analysis of generative artificial intelligence technology for innovative thinking and strategies in animation teaching
www.nature.com • 5/28/2025
This work examines the application of Generative Artificial Intelligence (GAI) technology in animation teaching, focusing on its role in enhancing teaching...
More Career Info
Career: Mathematical Science Teachers, Postsecondary
They teach college students about math, guide them in solving problems, and help them understand mathematical concepts better.
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Employment & Wage Data
Median Wage
$79,350
Jobs (2024)
58,900
Growth (2024-34)
+2.3%
Annual Openings
4,400
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
Write grant proposals to procure external research funding.
2
Participate in campus and community events.
3
Participate in student recruitment, registration, and placement activities.
4
Supervise undergraduate or graduate teaching, internship, and research work.
5
Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.
6
Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction.
7
Act as advisers to student organizations.
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.
