Somewhat Resilient

Last Update: 6/19/2026

AI Resilience Score for Poli Sci Prof (Postsec):

43.1%

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 political science 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 political science professors, six of seven sources had data, with Anthropic missing. AI exposure was split: Microsoft rated it high while Will Robots Take My Job rated it low, pulling confidence to medium. A low employer demand outlook weighed the score down, keeping this career at a modest 43.1% and labeled "Somewhat Resilient."

AI Resilience Report forPolitical Science Teachers, Postsecondary

$94,680 median salary1,600 annual openingsSOC Code: 25-1065.00

Political Science Teachers, Postsecondary are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Political science professors land in the "Somewhat Resilient" category because the heart of their work, leading debates, mentoring students, and modeling civic thinking, is deeply human and hard for AI to replicate. At the same time, meaningful parts of the job are shifting: students are using AI tools constantly (about 57% use them daily or weekly), which is pushing professors to rethink assignments, redesign exams, and address academic integrity in ways that take real time and effort.

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This role is somewhat resilient

Political science professors land in the "Somewhat Resilient" category because the heart of their work, leading debates, mentoring students, and modeling civic thinking, is deeply human and hard for AI to replicate. At the same time, meaningful parts of the job are shifting: students are using AI tools constantly (about 57% use them daily or weekly), which is pushing professors to rethink assignments, redesign exams, and address academic integrity in ways that take real time and effort.

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Analysis of Current AI Resilience

Poli Sci Prof (Postsec)

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Poli Sci Prof (Postsec) jobs?

Right now, AI is mostly augmenting — not replacing — political science professors. Their core work (leading discussions, attending campus events, mentoring during office hours) is still very human, but new tools are starting to help with the parts of the job that surround teaching. The American Political Science Association has launched a whole resource collection on "how political science educators are addressing AI in their classrooms" [1], and APSA is hosting a 2026 Teaching & Learning Symposium because instructors "must consider both the challenge and opportunity brought about by the ubiquity of GAI" [2].

Faculty are experimenting with ChatGPT for tasks like writing model UN papers, building bibliographies, drafting policy memos, and redesigning exams. A new APSA Presidential Task Force volume even concludes that AI "may fundamentally reshape how political knowledge is produced and interpreted" [3] — meaning research and prep work, not the human act of teaching itself.

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AI Adoption

How fast is AI adoption growing for Poli Sci Prof (Postsec)?

Adoption in political science classrooms is growing fast but cautiously. A Gallup–Lumina survey found that 57% of college students use AI daily or weekly for schoolwork [4], pushing professors to respond. Yet faculty are skeptical: 90% say generative AI will diminish students' critical thinking and 95% worry about overreliance [5], and 71% of AAUP members say their schools adopted AI without meaningful faculty input [5].

Political science especially values argument, ethics, and debate — skills AI can't truly replicate. So the good news for anyone curious about this career: the human parts (sparking discussion, mentoring, modeling civic thinking) are exactly what's most protected, while AI handles the busywork around them.

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Will AI replace Poli Sci Prof (Postsec)?

Will AI replace Poli Sci Prof (Postsec)?

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

Political science professors earn a 43.1% AI Resilience Score from us, which puts them in meaningful-but-manageable territory. AI is already reshaping the edges of this work: faculty are using tools like ChatGPT to draft policy memos, build bibliographies, and redesign assignments around AI-aware prompts [1]. The American Political Science Association is even hosting a 2026 Teaching and Learning Symposium because instructors now "must consider both the challenge and opportunity brought about by the ubiquity of GAI" [2]. That kind of institutional response signals real change, not a passing trend.

But the core of the job stays stubbornly human. Leading a seminar debate, mentoring a student through a research crisis, modeling civic reasoning in real time: none of that is something AI can replicate. Political science especially depends on argument, ethics, and judgment, and 90% of faculty already worry that AI will erode students' critical thinking [5]. That concern actually protects professors, because it keeps human-led instruction central.

The job market picture is softer, with limited projected openings through 2034. So the realistic path here is adaptation: professors who learn to use AI well while doubling down on the mentorship and discussion skills that machines cannot replace will be the ones who thrive.

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Latest AI news for Poli Sci Prof (Postsec)

These articles highlight the growing impact of AI on political science education and careers. For instance, the Stanford Law article discusses how AI is transforming political campaigns, which could shape the curriculum for future political science teachers. Additionally, the study on faculty exposure to AI tools emphasizes the need for educators to adapt, ensuring they remain relevant. By understanding AI's role in politics and education, aspiring political science teachers can build resilience in their careers, preparing to engage students in an evolving landscape.

More Career Info

Career: Political Science Teachers, Postsecondary

They teach college students about government systems, political theories, and global politics, helping them understand how politics affect the world.

Employment & Wage Data

Median Wage

$94,680

Jobs (2024)

21,800

Growth (2024-34)

+2.0%

Annual Openings

1,600

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

Compile bibliographies of specialized materials for outside reading assignments.

2

96% ResilienceCore Task

Participate in campus and community events.

3

96% ResilienceSupplemental

Write grant proposals to procure external research funding.

4

95% ResilienceCore Task

Initiate, facilitate, and moderate classroom discussions.

5

95% ResilienceSupplemental

Participate in student recruitment, registration, and placement activities.

6

94% ResilienceCore Task

Collaborate with colleagues to address teaching and research issues.

7

94% ResilienceSupplemental

Act as advisers to student organizations.

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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