Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for CS Teachers, Postsecondary:
40.8%
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
$96,980 median salary•3,200 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 8 sources.
Computer science professors are labeled "Somewhat Resilient" because AI is genuinely changing parts of the job (like drafting course materials and giving feedback on student code) even while the most important parts of teaching remain deeply human. The core work of mentoring students, explaining tricky concepts, building classroom community, and shaping what good education looks like is still something AI simply cannot do well.
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Computer science professors are labeled "Somewhat Resilient" because AI is genuinely changing parts of the job (like drafting course materials and giving feedback on student code) even while the most important parts of teaching remain deeply human. The core work of mentoring students, explaining tricky concepts, building classroom community, and shaping what good education looks like is still something AI simply cannot do well.
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CS Teachers, Postsecondary
Updated Quarterly
How is AI changing CS Teachers, Postsecondary jobs?
Right now, AI is mostly augmenting — not replacing — postsecondary computer science instructors. The biggest changes are happening in the day-to-day support tasks. Faculty are using generative AI like ChatGPT, Gemini, and Claude to help draft syllabi, homework assignments, slide decks, and course websites, though about half of instructors still debate whether letting AI draft a first version of a syllabus counts as acceptable teaching practice or as "cheating" [1].
The Computing Research Association's 2025 Summit Report [2] — a key document from the field's leading research body — found that CS departments are actively rewriting curricula so AI tools are woven throughout core classes, rather than kept in a single "AI course." A global consortium launched by UC San Diego with Google.org support [3] is now sharing "turnkey" CS courses that treat generative AI as a coding partner students must learn to supervise. Grading is a trickier area: many professors are experimenting with AI to give students draft feedback on code, but surveys show most faculty consider using AI to grade essays unethical [1], and human review remains standard. The distinctly human parts of the job — mentoring students, collaborating with colleagues, serving on committees, and joining campus events — are barely touched by automation.
Sources
How fast is AI adoption growing for CS Teachers, Postsecondary?
Adoption is moving fast in some ways and slowly in others. On the "fast" side, AI tools are cheap or free, widely available, and already familiar to students [4], and industry expects new grads to be fluent in them, which pressures CS professors to teach with them. On the "slow" side, faculty are cautious: the Digital Education Council's 2026 global survey [5] found that faculty intent to use AI in teaching actually declined in the U.S. and Canada from 76% to 67%, and only 29% of students think their instructors are well-equipped to guide AI use.
Concerns about cheating, critical-thinking loss, and unequal support from administrators are real brakes — 90% of instructors worry AI will weaken students' critical-thinking skills [1]. The good news for anyone eyeing this career: the human skills that make a great professor — explaining hard ideas, guiding curious learners, building community, and shaping what education should be — are exactly the things AI still can't do well.
Sources
Will AI replace CS Teachers, Postsecondary?
Not entirely. We think AI will take over some tasks, but not the whole job.
Our scorecard gives this role a 40.8% AI Resilience Score, which means real disruption is coming, but a full replacement is not. Right now, AI is handling the easier, more repetitive parts of the work: drafting syllabi, generating homework problems, and giving students preliminary feedback on code. CS departments are also weaving AI tools into core courses rather than treating them as a separate topic [2], which means professors need to teach with these tools, not just around them.
What stays human is the part that actually makes a great professor. Mentoring a struggling student, building a classroom community, explaining a genuinely hard concept in a way that finally clicks, and shaping what good computer science education should look like are things AI still cannot do well. Faculty are also the ones setting the ethical guardrails: surveys show most instructors consider using AI to grade essays unethical [1], and only 29% of students feel their professors are well-equipped to guide AI use at all [5].
The honest picture is that this job will keep changing, and professors who learn to work alongside AI tools will be better positioned than those who ignore them [4]. The core of the role, the human connection and judgment, remains yours to own.
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Latest AI news for CS Teachers, Postsecondary
These articles highlight the transformative role of AI in education, particularly for postsecondary computer science teachers. The CalMatters piece emphasizes how partnerships between community colleges and four-year universities, bolstered by Nvidia, are enhancing AI education—an essential skill for future educators. Additionally, the EdWeek article showcases how AI tools are helping teachers reduce burnout, indicating that embracing AI can lead to more sustainable teaching practices. By understanding and integrating AI into their curricula, future computer science educators can foster AI resilience in themselves and their students.
Most K-12 teachers say AI's impact on education will eclipse the internet or computers
www.npr.org • 6/5/2026
A new NPR/Ipsos poll shows many teachers are using AI to save time, but a majority are also worried the technology is making it harder for...
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 in the classroom: Tools, training, and the future of education
news.vt.edu • 7/18/2025
Like most of the students in their classroom, teachers are also embracing AI. Educators' use of generative AI rose from 51 percent to 67...
‘I Don’t Get Burnt Out as Much:' How These Teachers Use AI in Their Daily Work
www.edweek.org • 2/14/2025
Artificial intelligence is changing the job of teaching. That's according to an overwhelming majority (90 percent) of educators surveyed by...
California students want careers in AI. Here’s how colleges are meeting that demand
calmatters.org • 10/29/2024
Nvidia deal will boost AI education at community colleges and pave the way for partnerships with public four-year universities in...
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
$96,980
Jobs (2025)
43,900
Growth (2025-35)
+4.9%
Annual Openings
3,200
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
Participate in campus and community events.
2
Act as advisers to student organizations.
3
Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.
4
Direct research of other teachers or of graduate students working for advanced academic degrees.
5
Collaborate with colleagues to address teaching and research issues.
6
Supervise undergraduate or graduate teaching, internship, and research work.
7
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.
