Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Math Science Teachers, Postsecondary:
40.5%
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.
Low
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%).
Med
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%).
Med
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
$79,940 median salary•3,900 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 8 sources.
Math professors are "Somewhat Resilient" because AI is genuinely changing parts of the job, even if it is not replacing it entirely. Routine tasks like grading, drafting syllabi, and creating handouts are already being handled or assisted by AI tools, and students are using AI to solve problems in ways that force professors to rethink how they teach and assess learning.
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Math professors are "Somewhat Resilient" because AI is genuinely changing parts of the job, even if it is not replacing it entirely. Routine tasks like grading, drafting syllabi, and creating handouts are already being handled or assisted by AI tools, and students are using AI to solve problems in ways that force professors to rethink how they teach and assess learning.
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Math Science Teachers, Postsecondary
Updated Quarterly
How is AI changing Math Science Teachers, Postsecondary jobs?
Right now, AI is showing up more as an assistant than a replacement for college math instructors. The tasks getting automated are mostly the routine, behind-the-scenes ones — grading, prepping handouts, and drafting syllabi — while the human parts of the job (office hours, mentoring, committee work) remain firmly in professors' hands. In a survey of math faculty published in MSOR Connections, researchers found that ChatGPT is the most widely used GenAI tool among participants, indicating its central role in current instructional practices, with generally positive attitudes toward GenAI, alongside cautious levels of trust, particularly regarding the accuracy of AI-generated mathematical solutions, according to the MSOR Connections study on faculty use [1].
At Cal Poly Pomona, a math professor described how "I saw students using their phones to take pictures of equations on the board and using AI to solve them", and she decided to embrace the technology rather than fight it [2]. Even research is being augmented: the Mathematical Association of America recently reported [3] that ChatGPT made major math news by solving an Erdős problem — a real mathematical discovery that would be publishable in a leading research journal if it had been made by a human mathematician. Still, an essay in SIAM News [4] frames AI as a possible collaborator, not a replacement, exploring whether AI could ever be a genuine partner in mathematics.
Sources
How fast is AI adoption growing for Math Science Teachers, Postsecondary?
Adoption is happening quickly on the student side but more cautiously on the faculty side. A Deseret News feature [5] profiled a Cal State math professor who explained that "these new technologies allow students to completely and totally offload their cognition… That's the disaster scenario for higher education" — a concern pushing many math departments to redesign in-class problem-solving instead of automating instruction itself. WFYI's reporting [6] notes that AI has added a new type of labor for professors: trying to determine whether a student's work is their own, a problem compounded by the fact that many institutions provide students access to AI tools.
Cost and availability aren't really the bottleneck — free tools like ChatGPT are everywhere. Instead, Inside Higher Ed's 2026 predictions [7] point to a growing "disenchantment" that could slow things down, and EDUCAUSE's research on AI's impact on work in higher ed [8] shows institutions are still writing the policies and guidelines that will govern classroom use. The good news for you: skills like guiding a stuck student, running office hours, and building trust are exactly the things AI can't do — and they're becoming more valuable, not less.
Sources
Will AI replace Math Science Teachers, Postsecondary?
Not entirely. We think AI will take over some tasks, but not the whole job.
Our 40.5% AI Resilience Score signals real pressure on this role. The parts of the job that AI is already handling well are the routine ones: grading, drafting syllabi, prepping handouts. On the research side, AI has even solved serious mathematical problems that would be publishable if a human had found them [3]. That is not a small thing.
But the core of college math teaching is harder to automate than it looks. Running office hours, mentoring a struggling student, building the kind of trust that makes someone willing to ask a "dumb question" in the first place, those are human skills. Faculty are also taking on new work that AI created, like figuring out whether a student actually did their own thinking [6]. And while many professors are cautiously adopting tools like ChatGPT, they remain skeptical about AI accuracy in mathematical reasoning [1]. Meanwhile, institutions are still writing the policies that will govern all of this [8], which means the full shape of AI's role is not settled yet.
The job will change. Professors who learn to work alongside AI tools, while doubling down on mentorship and genuine human connection, will be in the strongest position.
Sources
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Latest AI news for Math Science Teachers, Postsecondary
These articles highlight the transformative impact of AI in mathematics education, essential for future postsecondary teachers. For instance, the systematic review on AI-driven personalized learning demonstrates how tailored tutoring can enhance problem-solving skills, equipping teachers with innovative strategies. Additionally, the exploration of AI literacy emphasizes the need for educators to adapt to new technologies, ensuring they remain effective in the classroom. Embracing AI resilience will empower future teachers to leverage these tools, ultimately enriching student learning experiences in mathematics.
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 • 4/29/2026
IntroductionThis study examines pre-service mathematics teachers' use of ChatGPT in instructional processes within the framework of the Technology...
The role of AI-driven personalised learning in enhancing mathematics problem-solving skills: a systematic review
www.frontiersin.org • 3/12/2026
AI-driven personalised learning is increasingly shaping mathematics education, yet evidence remains fragmented regarding its role in developing learners'...
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.
AI Literacy for Educators | News | Mathematics Science and Technology
www.tc.columbia.edu • 2/3/2025
This winter, Mathematics Education Professor Irina Lyublinskaya taught “AI Literacy for Educators: A Curriculum for 21st Century 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
$79,940
Jobs (2025)
57,100
Growth (2025-35)
+1.7%
Annual Openings
3,900
Education
Doctoral or professional degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Participate in campus and community events.
2
Act as advisers to student organizations.
3
Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.
4
Perform administrative duties, such as serving as department head.
5
Collaborate with colleagues to address teaching and research issues.
6
Maintain regularly scheduled office hours to advise and assist students.
7
Supervise undergraduate or graduate teaching, internship, and research work.
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.
