Somewhat Resilient
Last Update: 6/19/2026
AI Resilience Score for CS Teachers, Postsecondary:
44.1%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
AI Resilience Report forComputer Science Teachers, Postsecondary
$96,690 median salary•3,500 annual openings•SOC Code: 25-1021.00
Computer Science Teachers, Postsecondary are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Computer science professors land in the "Somewhat Resilient" category because AI is genuinely changing big parts of how they work, even if it is not replacing them outright. Tools like ChatGPT and GitHub Copilot are already handling tasks like drafting exercises, grading quizzes, and giving students instant feedback, which means the job is shifting rather than disappearing.
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Computer science professors land in the "Somewhat Resilient" category because AI is genuinely changing big parts of how they work, even if it is not replacing them outright. Tools like ChatGPT and GitHub Copilot are already handling tasks like drafting exercises, grading quizzes, and giving students instant feedback, which means the job is shifting rather than disappearing.
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CS Teachers, Postsecondary
Updated Quarterly
How is AI changing CS Teachers, Postsecondary jobs?
If you're worried about robots taking over your future professor's job — take a breath. Right now, AI is mostly helping college CS instructors rather than replacing them. The clerical parts of teaching (grading quizzes, tracking attendance, generating practice problems) are the easiest to automate, and tools like ChatGPT and GitHub Copilot are increasingly used to draft exercises and give students instant feedback.
UC San Diego, in partnership with Google.org, recently launched a global GenAI in CS Education Consortium that offers six turnkey courses integrating generative AI into the curriculum, with the goal of helping faculty worldwide adapt these AI-informed CS classes — a clear sign that augmentation, not replacement, is the trend. At the same time, a January 2026 Inside Higher Ed survey found that 86% of professors expect AI's impact on teaching to be "significant and transformative," [1] while about a quarter still don't use AI tools at all. Tasks the O*NET data flags as low-automation — office hours, committee service, original research — remain firmly human, because they depend on mentorship, judgment, and creativity that AI can't replicate.
The Computer Science Teachers Association puts it plainly: even in an age of AI, teachers are "indispensable for delivering high-quality and equitable computer science education." [2]
Sources
How fast is AI adoption growing for CS Teachers, Postsecondary?
Adoption is moving fast but unevenly. On the "fast" side, commercial tools are cheap, students already use them — a 2025 Cal State survey of 94,000+ found 95% of students have used an AI tool [3] — and industry demand is reshaping the field; The Harvard Crimson reported in February 2026 that 12 of 43 SEAS computer science professors have taken industry roles as AI research accelerates [4], pushing universities to integrate AI quickly. On the "slow" side, a March 2026 study in Frontiers in Education found that IT instructors abstain from full AI integration because of risks of academic dishonesty, lack of licensed software, and data privacy concerns [5] — not a skills gap.
Ethical worries about cheating, fairness, and weakened critical thinking are the biggest brakes. The bottom line: CS professors are evolving into AI-literate mentors, and the human skills you bring — curiosity, ethics, and collaboration — are exactly what tomorrow's classrooms (and employers) will value most.
Sources
Will AI replace CS Teachers, Postsecondary?
Not entirely. We think AI will take over some tasks, but not the whole job.
Our 44.1% AI Resilience Score reflects real pressure on this role. The repetitive parts of teaching, like grading quizzes, generating practice problems, and giving instant feedback, are already being handed off to tools like ChatGPT and GitHub Copilot. And with 95% of students already using AI tools [3], professors who ignore this shift will struggle to stay relevant.
But the core of the job holds up. Office hours, mentorship, original research, and navigating the ethics of AI in education all require human judgment that no model can replicate. The Computer Science Teachers Association is direct about this: teachers remain "indispensable for delivering high-quality and equitable computer science education" [2]. Even as 86% of professors expect AI's impact to be "significant and transformative" [1], the biggest barriers to full AI integration are ethical concerns about cheating and fairness, not a lack of capable tools [5].
The job is changing, not disappearing. CS professors are becoming AI-literate mentors, which is a harder and more valuable role than it sounds. If you're drawn to teaching and technology, that combination is exactly what this field needs.
Sources
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Latest AI news for CS Teachers, Postsecondary
These articles provide valuable insights for future Computer Science teachers by highlighting the transformative role of AI in education. For instance, the UC San Diego consortium emphasizes collaboration among educators to innovate teaching methods in the AI age. Similarly, the University of Washington's partnership with Microsoft showcases how universities are adapting curricula to better prepare students for AI-related careers. Embracing these developments fosters AI resilience, equipping educators to effectively guide the next generation in a rapidly evolving technological landscape.
Navigating the Turbulent Future of AI and Work
www.nationalacademies.org • 5/20/2026
As artificial intelligence starts to reshape work across many sectors of the economy, students, parents, and educators are grappling with...
University Of Washington Expands AI Partnership With Microsoft To Boost Workforce Readiness
pulse2.com • 2/27/2026
The University of Washington and Microsoft have expanded their long-standing partnership to accelerate artificial intelligence research and...
Building an AI-Ready America: Teaching in the AI age
blogs.microsoft.com • 2/24/2026
On Tuesday, February 23rd, Microsoft Senior Director of Education and Workforce Policy Allyson Knox testified before the House Education...
Transforming Computer Science Education in the Age of AI
today.ucsd.edu • 10/28/2025
UC San Diego educators, education researchers and computer scientists have teamed up to launch a global consortium, with support from...
AI agents, wearable computing and the future of postsecondary learning
www.frontiersin.org • 8/28/2025
AI and Technocultural Adaptation First, the effect of generative AI on the automation of writing, composition skills, and creative practices is still taking...
More Career Info
Career: Computer Science Teachers, Postsecondary
They teach college students about computers and programming, helping them understand how technology works and how to create software.
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Employment & Wage Data
Median Wage
$96,690
Jobs (2024)
44,800
Growth (2024-34)
+5.3%
Annual Openings
3,500
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
Write grant proposals to procure external research funding.
2
Direct research of other teachers or of graduate students working for advanced academic degrees.
3
Supervise undergraduate or graduate teaching, internship, and research work.
4
Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.
5
Perform administrative duties such as serving as department head.
6
Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.
7
Provide professional consulting services to government 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.
