Somewhat Resilient

Last Update: 6/19/2026

AI Resilience Score for Postsecondary Ed Teacher:

40.0%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
High

Contributing sources

Methodology and Scoring Rationale

To score how resilient postsecondary education teaching 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 education teachers, all seven sources had data. Three of four AI exposure sources (our model, Anthropic, and Microsoft) rated exposure High, while Will Robots Take My Job rated it Low, so confidence is high despite that split. Medium demand and pay signals kept the score from falling further, landing this role at "Somewhat Resilient."

AI Resilience Report forEducation Teachers, Postsecondary

$72,090 median salary5,600 annual openingsSOC Code: 25-1081.00

Education Teachers, Postsecondary are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.

This career lands at "Somewhat Resilient" because AI is genuinely changing the day-to-day work of college professors who train teachers, even while the core of the job stays human. Tools for lesson planning, curriculum design, and even grant writing are getting faster and cheaper, which means professors need to adapt quickly and learn to use these tools well (nearly 60 percent of teachers already have).

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This role is somewhat resilient

This career lands at "Somewhat Resilient" because AI is genuinely changing the day-to-day work of college professors who train teachers, even while the core of the job stays human. Tools for lesson planning, curriculum design, and even grant writing are getting faster and cheaper, which means professors need to adapt quickly and learn to use these tools well (nearly 60 percent of teachers already have).

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Analysis of Current AI Resilience

Postsecondary Ed Teacher

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Postsecondary Ed Teacher jobs?

Right now, AI is mostly augmenting the work of postsecondary education teachers — meaning it helps them do their jobs better rather than replacing them. Teacher educators are actually some of the people teaching their students how to use AI well. At The College of Wooster, for example, professors are running a "Build-A-Bot" project where future teachers design AI chatbots that simulate real classroom decisions, and they've found that AI significantly reduces the time investment for lesson planning and curriculum development, while still emphasizing that the teacher is still the driver.

New platforms like BranchED use large language models so that simulation platforms are emerging as a modality for teacher training, using avatars and large language models to replicate student behavior and give teachers practice dealing with classroom situations. AI is also showing up in research tasks: a Nature news report [1] found that scientists who use chatbots to draft grant proposals win more NIH funding, though the proposals tend to look more similar to past work. The professional society AACTE recognized this shift [2] by giving its top Journal of Teacher Education article award to "Uncovering the Hidden Curriculum in Generative AI: A Reflective Technology Audit for Teacher Educators." Some tools push further into automation — Inside Higher Ed reported [3] that Arizona State University soft launched a web app earlier this month that allows anyone, for $5 per month, to create an apparently unlimited number of customized "learning modules" using artificial intelligence built from professor content, raising big questions about who owns teaching.

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AI Adoption

How fast is AI adoption growing for Postsecondary Ed Teacher?

Adoption is happening fast in some areas and slowly in others. On the "fast" side, the tools are cheap, easy, and save real time — nearly 60 percent of teachers used AI in the past school year, according to a Gallup survey cited by the National Education Association [4]. Education professors feel pressure to model these tools because their students will need them on day one of teaching.

On the "slow" side, there are real ethical concerns: faculty at ASU described the course-builder as "Frankensteinian" because it remixes their work without clear consent, and Nature notes AI-assisted grant proposals can crowd out original ideas. Grading, mentoring student teachers in real classrooms, and building human relationships still need a person — those are exactly the high-touch tasks ONET flags as least automatable. The takeaway for you: if you're drawn to teaching teachers, the human skills (judgment, empathy, ethics, coaching) are getting more* valuable, not less.

Learning to use AI thoughtfully now is the smart move.

Sources

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Will AI replace Postsecondary Ed Teacher?

Will AI replace Postsecondary Ed Teacher?

Not entirely. We think AI will take over some tasks, but not the whole job.

Our 40.0% AI Resilience Score reflects real pressure on this role. AI is already handling time-consuming work like lesson planning, curriculum drafting, and even grant writing, and nearly 60 percent of teachers used AI tools in the past school year [4]. Some platforms now let anyone build customized learning modules from professor content for just a few dollars a month [3]. That kind of automation does chip away at certain parts of the job.

But the core of postsecondary teacher education is harder to hand off. Mentoring student teachers through real classroom situations, building trust, modeling ethical judgment, and coaching human relationships are exactly the tasks AI cannot replicate well. Professional organizations are already recognizing this shift, with AACTE honoring research on how teacher educators can think critically about AI rather than just adopt it uncritically [2]. The job is evolving, not disappearing.

The economic picture is mixed but not bleak. Employer demand and earning potential both sit at medium strength through 2034. The professors who will thrive are those who treat AI as a tool they direct, not a system that directs them. Learning to use it thoughtfully now is genuinely good career strategy.

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Latest AI news for Postsecondary Ed Teacher

These articles highlight the evolving role of AI in postsecondary education, emphasizing the need for educators to adapt. For instance, the Penn State faculty's efforts to integrate generative AI into teaching showcase how future educators can leverage technology to enhance learning experiences. Meanwhile, the bipartisan bill for K-12 educators signals a growing recognition of AI's importance, encouraging professional development. As AI reshapes education, aspiring teachers must embrace these changes to remain resilient and relevant in their careers.

More Career Info

Career: Education Teachers, Postsecondary

They teach college students how to become teachers by explaining educational theories and methods and guiding them through practical teaching experiences.

Employment & Wage Data

Median Wage

$72,090

Jobs (2024)

74,900

Growth (2024-34)

+2.1%

Annual Openings

5,600

Education

Doctoral or professional degree

Experience

Less than 5 years

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

96% ResilienceSupplemental

Perform administrative duties such as serving as department head.

2

96% ResilienceSupplemental

Provide professional consulting services to government or industry.

3

95% ResilienceCore Task

Compile bibliographies of specialized materials for outside reading assignments.

4

95% ResilienceSupplemental

Act as advisers to student organizations.

5

94% ResilienceCore Task

Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.

6

93% ResilienceCore Task

Compile, administer, and grade examinations, or assign this work to others.

7

92% ResilienceCore Task

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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