Somewhat Resilient

Last Update: 8/30/2026

AI Resilience Score for Postsecondary History Teacher:

42.9%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Low

Sustained economic opportunity

Med

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient postsecondary history teaching is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. 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 history teachers, all eight sources had data, but AI exposure was split: AI Resilience Model and Will Robots Take My Job saw the work as largely human-driven, while Microsoft and OpenAI Signals saw more AI overlap, keeping confidence at medium. Weak hiring projections pulled the score down, landing this role at "Somewhat Resilient."

AI Resilience Report forHistory Teachers, Postsecondary

$83,820 median salary1,500 annual openingsSOC Code: 25-1125.00

History Teachers, Postsecondary are somewhat less resilient to AI impacts than most occupations, according to our analysis of 8 sources.

History professors are "Somewhat Resilient" because the heart of their work, leading discussions, evaluating arguments, and guiding students through complex ideas, requires human judgment and connection that AI simply cannot replicate. That said, AI is already changing parts of the job in real ways, handling tasks like summarizing texts or tracking grades, and professors who ignore these tools risk falling behind as nearly all students are already using them.

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This role is somewhat resilient

History professors are "Somewhat Resilient" because the heart of their work, leading discussions, evaluating arguments, and guiding students through complex ideas, requires human judgment and connection that AI simply cannot replicate. That said, AI is already changing parts of the job in real ways, handling tasks like summarizing texts or tracking grades, and professors who ignore these tools risk falling behind as nearly all students are already using them.

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Analysis of Current AI Resilience

Postsecondary History Teacher

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Postsecondary History Teacher jobs?

Right now, AI is showing up as an assistant to college history professors rather than a replacement. The American Historical Association (AHA) explicitly addressed this in 2025, stating that while generative AI is undeniably powerful, it cannot replace human teachers, and the most extreme proposals to automate education betray a fundamental misunderstanding of teaching and learning. Still, the AHA acknowledges that generative AI tools offer significant opportunities to improve teaching and student learning, and it published Guiding Principles for Artificial Intelligence in History Education [1] to help professors integrate them thoughtfully.

Where automation is happening, it tends to be the lower-level tasks on a professor's list — grade tracking, drafting reading lists, and summarizing texts — while the human parts (leading discussions, judging arguments, committee work) stay firmly with people. At Columbia, faculty are finding innovative ways to incorporate AI into coursework [2] such as style analysis and source critique. However, warning signs exist: New America investigated Maestro University [3], a for-profit school that substituted instructors with a chatbot, and documented policy failures and student frustration — a reminder that fully automating instruction tends to backfire.

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AI Adoption

How fast is AI adoption growing for Postsecondary History Teacher?

Adoption is moving fast on the student side and cautiously on the faculty side. A HEPI 2026 survey found that 95% of students report using AI in at least one way and 94% use generative AI to help with assessed work [4], meaning history professors basically must engage with AI whether they want to or not. Yet Inside Higher Ed's 2026 outlook [5] notes that 2026 is likely to be another year of grappling with the power of generative AI to reshape research, teaching, learning and campus operations, signaling ongoing hesitation.

The reasons for slower adoption in history specifically are ethical and epistemic: the AHA warns that commercially available generative AI algorithms prioritize speed over accuracy, and given a large task, an AI tool will eagerly invent fictional answers, a process often referred to as hallucination. That's a serious problem in a discipline built on evidence. The good news for young people considering this career: the AHA argues that generative AI may increase the demand for historians' specific skills as societies and workplaces navigate an increasingly complex information landscape — meaning critical thinking, source evaluation, and human interpretation are becoming more valuable, not less.

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Will AI replace Postsecondary History Teacher?

Will AI replace Postsecondary History Teacher?

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

Our 42.9% AI Resilience Score reflects that reality. History professors are already seeing AI handle lower-level work like drafting reading lists, summarizing texts, and tracking grades. That part of the job will keep shifting. But the core of what a history professor does, leading discussions, evaluating arguments, helping students think critically about evidence, stays stubbornly human. The American Historical Association put it plainly: generative AI cannot replace human teachers, and attempts to fully automate instruction betray a fundamental misunderstanding of how learning works [1].

The job market picture is worth being honest about. Employer demand through 2034 is weak, so competition for positions will likely stay tough regardless of AI. That is a real challenge for people entering this field.

What keeps this role from tipping into "vulnerable" territory is the nature of history itself. AI tools are prone to hallucination, inventing sources and facts, which is a serious flaw in a discipline built on evidence [1]. Meanwhile, 95% of students now use AI in their coursework [4], which actually makes professors who can teach source evaluation and critical thinking more necessary, not less. The skills at the center of this job are becoming harder to automate, even as the work around them changes.

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Latest AI news for Postsecondary History Teacher

These articles highlight the growing influence of AI in higher education, particularly for postsecondary history teachers. For example, the article on ChatGPT adoption shows how professors are integrating AI tools to enhance teaching and engage students. Additionally, the focus on AI literacy emphasizes the need for history educators to prepare students for critical thinking about technology's role in society. Embracing AI can help history teachers innovate their methods and remain relevant, fostering resilience in their careers amid the evolving educational landscape.

More Career Info

Career: History Teachers, Postsecondary

They teach college students about past events and societies, helping them understand how history shapes the world today.

Employment & Wage Data

Median Wage

$83,820

Jobs (2025)

23,200

Growth (2025-35)

+0.0%

Annual Openings

1,500

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

96% ResilienceSupplemental

Participate in campus and community events.

2

95% ResilienceCore Task

Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.

3

95% ResilienceSupplemental

Act as advisers to student organizations.

4

94% ResilienceCore Task

Perform administrative duties, such as serving as department head.

5

94% ResilienceSupplemental

Teach community courses and speak to local groups and organizations.

6

93% ResilienceCore Task

Collaborate with colleagues to address teaching and research issues.

7

93% ResilienceSupplemental

Provide professional consulting services to government, educational institutions, or industry.

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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