Somewhat Resilient

Last Update: 6/19/2026

AI Resilience Score for Postsecondary History Teacher:

39.5%

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 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 history teachers, all seven sources had data, but AI exposure split noticeably: AI Resilience Model and Microsoft rated it High while Anthropic landed Medium and Will Robots Take My Job rated it Low, pulling confidence down to medium. Weak employer demand from the BLS Opportunity Score weighed heavily on the final score, leaving this career "Somewhat Resilient."

AI Resilience Report forHistory Teachers, Postsecondary

$81,500 median salary1,700 annual openingsSOC Code: 25-1125.00

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

History teachers at the postsecondary level are labeled "Somewhat Resilient" because AI is genuinely changing how this job works, even if it is not replacing the role entirely. Tools like ChatGPT are already handling routine tasks such as drafting syllabi, summarizing readings, and giving writing feedback, which means teachers need to adapt and rethink how they spend their time in the classroom.

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This role is somewhat resilient

History teachers at the postsecondary level are labeled "Somewhat Resilient" because AI is genuinely changing how this job works, even if it is not replacing the role entirely. Tools like ChatGPT are already handling routine tasks such as drafting syllabi, summarizing readings, and giving writing feedback, which means teachers need to adapt and rethink how they spend their time in the classroom.

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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 mostly augmenting the work of postsecondary history teachers, not replacing them. Generative AI tools like ChatGPT are being used to help with lower-stakes tasks such as drafting syllabi, summarizing readings, brainstorming discussion questions, and giving feedback on student writing. The American Historical Association notes that "AI tools offer significant opportunities to improve teaching and student learning," even while many history educators "feel overwhelmed, distracted, or frustrated by these technologies." The AHA is firm 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.

In fact, the association argues that generative AI may actually increase demand for historians' specific skills as societies navigate an increasingly complex information landscape, where the ability to act as subject matter experts, synthesize complex literature, and look for biases and inaccuracies is invaluable. Adoption is real but uneven: an EDUCAUSE report covered by EdTech Magazine [1] found that 94% of higher-ed respondents had used AI tools for work in the past six months, mostly for drafting, summarizing meetings, and similar support tasks. A national USC study [2] found most students use AI for quick answers unless professors guide them toward deeper engagement — meaning the teacher's judgment still shapes learning.

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AI Adoption

How fast is AI adoption growing for Postsecondary History Teacher?

Adoption in history classrooms is moving faster than many expected, but with serious friction. A January 2026 survey reported by Inside Higher Ed [3] found that 92% of faculty believe generative AI will diminish students' critical thinking, 86% expect AI's impact on teachers to be "significant and transformative," and 68% say their institutions have not prepared them to use AI in teaching. That mix of pressure and lack of training slows thoughtful adoption.

Cost is a smaller barrier — consumer AI tools are cheap or free — but ethical concerns matter a lot in the humanities. Brookings' 2026 global task force [4] concluded that at this point in AI's trajectory, the risks of using generative AI in education can overshadow the benefits when it undermines foundational learning. History is also a field built on careful sourcing and original interpretation, and the AHA's Perspectives essay [5] reports that in a 2024 member survey, 68.9 percent of respondents had redesigned courses to avoid or minimize potential misuses of generative AI, and 92.6 percent wanted guidance and sample language for AI policies.

The encouraging takeaway for students considering this career: human historical judgment, mentorship, and ethical reasoning are exactly what AI can't replace — and they're 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.

History teachers at the college level earn a 39.5% AI Resilience Score from us, which puts them in meaningful-but-manageable territory. AI is already handling lower-stakes work like drafting syllabi, summarizing readings, and generating discussion questions. That part is real and growing fast, with 94% of higher-ed staff reporting they had used AI tools for work tasks in the past six months [1].

What stays human is the core of the job: guiding students through complex evidence, modeling how to spot bias and bad sourcing, and pushing back when a student's thinking gets lazy. A USC study found most students default to AI for quick answers unless a professor actively steers them toward deeper engagement [2]. That steering is a human skill. The American Historical Association argues that generative AI may actually increase demand for historians' expertise as societies struggle to navigate a messier information landscape [5], and Brookings' research warns that AI in education can undermine foundational learning when used without careful guidance [4].

The job market picture is tighter than we would like, so we are not going to oversell the demand side. But the intellectual and mentorship work at the heart of this role is genuinely hard to automate.

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Latest AI news for Postsecondary History Teacher

The selected articles highlight the significant impact of AI on postsecondary teaching, particularly for history teachers. For instance, the study revealing that 14 out of 20 high-risk jobs involve postsecondary educators suggests that history instructors must adapt to AI tools like ChatGPT, which can assist in developing course materials and engaging students. Additionally, the Duolingo CEO's controversial claim about AI as a potential teacher challenges educators to rethink their roles and enhance their unique contributions. Embracing AI can foster resilience and innovation in history education, ensuring relevance in a changing 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

$81,500

Jobs (2024)

24,600

Growth (2024-34)

-0.2%

Annual Openings

1,700

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

97% ResilienceCore Task

Participate in student recruitment, registration, and placement activities.

2

96% ResilienceCore Task

Participate in campus and community events.

3

96% ResilienceSupplemental

Supervise undergraduate or graduate teaching, internship, and research work.

4

95% ResilienceCore Task

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

5

95% ResilienceSupplemental

Write grant proposals to procure external research funding.

6

94% ResilienceCore Task

Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.

7

94% ResilienceSupplemental

Perform administrative duties such as serving as department head.

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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