Mostly Resilient

Last Update: 6/19/2026

AI Resilience Score for Postsecondary Teachers:

57.5%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient postsecondary teaching in specialized fields 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 teachers in specialized fields, five of the seven sources had data, with Anthropic and Microsoft absent. On AI exposure, Will Robots Take My Job saw low risk while our AI Resilience Model rated it medium, a mild split that keeps confidence at medium. Steady demand and middle-range pay leave this career "Mostly Resilient."

AI Resilience Report forPostsecondary Teachers, All Other

$78,490 median salary13,500 annual openingsSOC Code: 25-1199.00

Postsecondary Teachers, All Other are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.

Postsecondary teachers in niche and interdisciplinary fields are labeled "Mostly Resilient" because the heart of their work, mentoring students, leading meaningful discussions, and judging deep understanding, still requires a human presence that AI simply cannot replicate. Tools like ChatGPT and Microsoft Copilot are being used to save time on tasks like drafting lesson plans, building quizzes, and explaining tough concepts, which means AI is helping teachers do their jobs better rather than pushing them out.

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This role is mostly resilient

Postsecondary teachers in niche and interdisciplinary fields are labeled "Mostly Resilient" because the heart of their work, mentoring students, leading meaningful discussions, and judging deep understanding, still requires a human presence that AI simply cannot replicate. Tools like ChatGPT and Microsoft Copilot are being used to save time on tasks like drafting lesson plans, building quizzes, and explaining tough concepts, which means AI is helping teachers do their jobs better rather than pushing them out.

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Analysis of Current AI Resilience

Postsecondary Teachers

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Postsecondary Teachers jobs?

For "all other" postsecondary teachers — instructors who teach niche or interdisciplinary subjects — AI is mostly showing up as an augmentation tool rather than a replacement. The biggest survey of college AI use to date, conducted across the 23-campus California State University system, found that the vast majority of respondents (95 percent) have used at least one of the 21 AI tools listed in the survey, and over half (55 percent) of faculty are using AI to develop course materials, while 69 percent provide students with guidance for using it effectively and responsibly. Professors are leaning on tools like ChatGPT, Microsoft Copilot, and Grammarly to draft lesson plans, build quizzes, give feedback on drafts, and explain tough concepts in plain language — work that lines up closely with what this career involves.

A nationwide AAC&U and Elon University survey [1] covered by Inside Higher Ed [2] found that most professors—86 percent—said that the impact of AI on teachers will be "significant and transformative or at least noticeable", but the core human work — mentoring students, leading discussions, and judging deep understanding — still belongs to people.

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AI Adoption

How fast is AI adoption growing for Postsecondary Teachers?

Adoption is moving fast in some places and slowly in others. Cheap, ready-made tools (a single $17 million CSU-OpenAI deal [2] covers 460,000 students) make AI far cheaper than hiring more staff, which pushes adoption forward. But several brakes exist.

According to a 2026 Inside Higher Ed/Hanover CTO survey [2], half of chief technology officers say the return on investment is either unclear or fell below their expectations. Faculty culture is cautious too: about 68 percent of faculty said their institutions have not prepared faculty to use AI in teaching, student mentorship and scholarship. Most of their recent graduates are underprepared, too.

The American Association of University Professors [3] is also pushing back, with a 2025 report finding (per coverage in Insight Into Academia [4]) that 71% of respondents said decisions about AI and educational technology were made solely by administrators, with little or no involvement from faculty, staff, or students. The Chronicle of Higher Education [5] likewise reports faculty feeling overwhelmed and conflicted. Finally, the U.S. Bureau of Labor Statistics' Monthly Labor Review [6] still projects steady demand for postsecondary teachers through 2034 — a hopeful sign that uniquely human skills like mentorship, ethics, and creative thinking remain irreplaceable.

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Will AI replace Postsecondary Teachers?

Will AI replace Postsecondary Teachers?

No. We don't think AI will replace Postsecondary Teachers, All Other, though we do expect the job to change.

Our 57.5% AI Resilience Score reflects a role that is holding up well, even as AI tools become part of everyday teaching life. Most postsecondary instructors are already using AI to build course materials, write quizzes, and give students feedback, and 55 percent of faculty at one major university system are doing exactly that [2]. That is augmentation, not replacement. The core work of mentoring students, leading real discussions, and judging genuine understanding still requires a human in the room.

Adoption is moving unevenly, and that matters. About half of chief technology officers say the return on investment from AI tools is unclear or fell short of expectations [2]. Faculty culture is also pushing back: 71 percent of respondents in one study said AI decisions were made by administrators with little input from teachers themselves [4]. And the Bureau of Labor Statistics still projects steady demand for postsecondary teachers through 2034 [6].

The honest picture is that this job will shift. Instructors who learn to use AI well will likely have an advantage. But the human parts of teaching, curiosity, trust, and real mentorship, are not going away anytime soon.

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Latest AI news for Postsecondary Teachers

These articles highlight the growing importance of AI in the field of education, particularly for postsecondary teachers. For instance, Penn State faculty are guiding students on effectively using generative AI, which can enhance teaching methods. Additionally, UC Irvine's course on AI literacy equips future instructors with essential skills in integrating AI into their classrooms. As AI reshapes educational roles, staying informed and adaptable will be key for aspiring educators to thrive in their careers and foster a resilient teaching environment.

More Career Info

Career: Postsecondary Teachers, All Other

They teach college students about specific subjects that aren't covered by regular departments, creating lessons and helping students understand complex topics.

Employment & Wage Data

Median Wage

$78,490

Jobs (2024)

183,400

Growth (2024-34)

+1.8%

Annual Openings

13,500

Education

Doctoral or professional degree

Experience

None

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

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