BETA
Updated: Mar 2
BETA
Updated: Mar 2
Evolving
Last Update: 2/17/2026
Your role’s AI Resilience Score is
38.1%
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
Physics Teachers, Postsecondary
They teach college students about physics, conduct experiments, and guide research to help students understand how the world works through science.
This role is evolving
The career of a postsecondary physics teacher is labeled as "Evolving" because AI is increasingly used to handle routine tasks like grading and attendance, freeing up teachers to focus more on teaching and mentoring. While AI tools help with creating course content and checking homework, the core responsibilities of guiding, advising, and inspiring students remain human-led.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is evolving
The career of a postsecondary physics teacher is labeled as "Evolving" because AI is increasingly used to handle routine tasks like grading and attendance, freeing up teachers to focus more on teaching and mentoring. While AI tools help with creating course content and checking homework, the core responsibilities of guiding, advising, and inspiring students remain human-led.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Evolving48.0%
48.0%
Microsoft's Working with AI
AI Applicability
Changing fast12.5%
12.5%
Anthropic's Economic Index
AI Resilience
Changing fast27.2%
27.2%
Will Robots Take My Job
Automation Resilience
Stable79.6%
79.6%
Low Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
2.5%
Growth Percentile:
46.4%
Annual Openings:
1,300
Annual Openings Pct:
15.3%
Analysis of Current AI Resilience
Postsecondary Physics Prof
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
AI tools are already helping physics teachers with routine chores. For example, modern classrooms can use cameras or smart ID scanners to take attendance and mark grades automatically, saving teachers time in record-keeping [1]. Online gradebooks and quiz portals can instantly score student work and feed results into official records [1].
Many instructors are also experimenting with AI to create course content. In one study, most physics professors who tried generative AI used it to write homework and exam questions with solutions [2]. These AI helpers can even check student answers: for instance, software can correct math or coding homework and give immediate feedback [1].
All these tools _augment_ – not replace – the teacher. They handle data and grading tasks, which the listed O*NET data suggests could be automated, so teachers have more time for teaching.
However, most personal tasks remain human-led. Advising student clubs and mentoring careers still depend on trust and empathy, so there’s little sign of automation there. Writing research grant proposals also stays with faculty experts.
In short, AI is used today as a helper to reduce paperwork and grading time, while teachers continue to handle the creative, interpersonal parts of their job.
Sources
AI in the real world
Adopting AI in higher education depends on many factors. Schools may move cautiously because of cost and training. Some instructors say they don’t have enough technical know-how to use AI tools yet [2].
They also worry about errors: one survey found many physics professors were concerned that AI might give incorrect answers or confuse students [2]. Purchasing and maintaining AI software can be expensive for a college budget, too.
On the other hand, if an AI tool clearly saves teacher time, campuses tend to consider it. For example, studies note that AI grading systems can give instant feedback and greatly reduce workload [1]. When benefits are clear – like freeing up hours of grading each week – departments may invest in the technology.
Ultimately adoption is steady but cautious. Policies, social trust, and evidence of success all play a role. So far, schools seem to prefer using AI to handle routine tasks while keeping real humans in charge of mentoring students, teaching complex concepts, and making final decisions.
Sources
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More Career Info
Career: Physics Teachers, Postsecondary
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Similar Careers
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
Advise students on academic and vocational curricula and on career issues.
2
Write grant proposals to procure external research funding.
3
Provide professional consulting services to government or industry.
4
Maintain and repair laboratory equipment.
5
Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction.
6
Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.
7
Participate in student recruitment, registration, and placement activities.
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.
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