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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
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.
Med
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%).
Low
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
Philosophy and Religion Teachers, Postsecondary are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Philosophy and religion professors land in the "Somewhat Resilient" category because while AI can handle many of the routine parts of the job — like drafting syllabi or building reading lists — the heart of what these teachers do is much harder to replicate. Guiding a real classroom discussion, mentoring students through big ethical questions, and judging whether someone truly *understands* an idea (not just recites it) are deeply human skills that AI simply can't imitate well.
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Learn more about how you can thrive in this position
This role is somewhat resilient
Philosophy and religion professors land in the "Somewhat Resilient" category because while AI can handle many of the routine parts of the job — like drafting syllabi or building reading lists — the heart of what these teachers do is much harder to replicate. Guiding a real classroom discussion, mentoring students through big ethical questions, and judging whether someone truly *understands* an idea (not just recites it) are deeply human skills that AI simply can't imitate well.
Read full analysisAnalysis of Current AI Resilience
Philosophy & Religion Prof.
Updated Quarterly • Last Update: 5/14/2026

Right now, AI is mostly augmenting philosophy and religion professors rather than replacing them — but it's reshaping how their classrooms work. A January 2026 survey of over 1,000 faculty found that 86 percent said the impact of AI on teachers will be "significant and transformative or at least noticeable," while only 4 percent said AI's effect on teaching will "not amount to much". Professors are using tools like ChatGPT to help with the more routine tasks the O*NET data flags as highly automatable, such as drafting syllabi, building reading lists, and outlining lectures.
A philosophy instructor writing on the American Philosophical Association's blog [1] warned that because there is no way to control the classroom environment for AI use, a large majority of essays turned in for online courses are at least partly written by AI, which is pushing teachers to redesign assessments. At the same time, religion scholars are studying AI as a subject itself — the American Academy of Religion now has a dedicated AI and Religion program unit [2], and researchers there argue religious studies gives us the tools to understand how AI is being understood in our society. A 2026 philosophy paper in AI and Ethics [3] concludes that whether philosophy itself can be automated depends on whether you view philosophy as a set of propositions or as an activity — meaning the human practice of doing philosophy with students is much harder to replace than the written outputs.

Adoption is happening fast among students but cautiously among faculty, especially in the humanities. A nationwide Gallup poll reported in Route Fifty [4] found that among students who use AI for schoolwork at least monthly, 86% say a very or extremely important reason is to better understand complex course material, and courses in the humanities, social sciences and natural sciences were the most likely to have comprehensive AI policies — suggesting philosophy and religion faculty are leading in setting limits, not embracing automation. Cost is not the main driver here: a philosophy lecture is cheap to deliver compared to, say, automating a factory, so the economic push to replace professors is weak.
The bigger brakes are ethical and pedagogical. According to Inside Higher Ed's January 2026 reporting [5], 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 over time, and about 68 percent of faculty said their institutions have not prepared faculty to use AI in teaching, student mentorship and scholarship. The good news for students worried about this career: the skills these teachers prize most — guiding live discussion, mentoring, ethical reasoning, and judging whether a student truly understands an idea — are exactly the human strengths AI struggles to imitate.
Expect the job to evolve, not vanish.

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They teach college students about different philosophies and religions, helping them understand complex ideas and encouraging critical thinking.
Median Wage
$78,050
Jobs (2024)
27,300
Growth (2024-34)
+0.7%
Annual Openings
2,000
Education
Doctoral or professional degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Compile bibliographies of specialized materials for outside reading assignments.
Write grant proposals to procure external research funding.
Participate in student recruitment, registration, and placement activities.
Supervise undergraduate or graduate teaching, internship, and research work.
Collaborate with colleagues to address teaching and research issues.
Act as advisers to student organizations.
Initiate, facilitate, and moderate classroom discussions.
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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