Last Update: 2/17/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They teach college students about specific subjects that aren't covered by regular departments, creating lessons and helping students understand complex topics.
This role is evolving
The career of postsecondary teachers is labeled as "Evolving" because AI is starting to handle some of the repetitive tasks, like grading simple quizzes and drafting materials. However, human skills like explaining complex topics, connecting with students, and guiding discussions are still crucial and can't be replaced by AI.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is evolving
The career of postsecondary teachers is labeled as "Evolving" because AI is starting to handle some of the repetitive tasks, like grading simple quizzes and drafting materials. However, human skills like explaining complex topics, connecting with students, and guiding discussions are still crucial and can't be replaced by AI.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Will Robots Take My Job
Automation Resilience
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Postsecondary Teachers
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
College-level teaching still relies heavily on human skills, so there are no examples of a fully “robot professor.” However, AI is already helping with parts of the job. For instance, tools like ChatGPT can gather and summarize lots of information at once, suggest quiz questions, or even draft class materials [1] [2]. Teachers can also use AI image generators to make custom diagrams and use simple scripts (or ask AI to write them) to automate routine tasks like scheduling or sending feedback [1] [1].
Academic studies note that even before ChatGPT, AI was used for automated quizzes and tutoring systems (so students could learn at their own pace) and for grading some tests [2]. These tools can save time and personalize learning, but experts stress that they assist rather than replace teachers. As one article explains, AI is “very effective at pitching concepts” at the right level, but you still need a knowledgeable teacher to break each topic down for students” [1].
In short, AI can handle some of the repetitive or data-heavy parts of teaching, but the human abilities to explain ideas, provide feedback, and connect with students remain crucial.

AI in the real world
AI tools are already widely available (many are free or low-cost), so colleges can adopt them quickly if they choose. For example, students use AI to summarize readings or brainstorm essay ideas [3], and universities like Arizona State and Georgia State have introduced AI tutors (for math and writing) and chatbots that answer common questions, freeing instructors to focus on harder problems [3]. These kinds of success stories, along with tech companies offering free AI to schools, make adoption easier.
Also, automating tasks is economically appealing: professors’ time is valuable, while a chatbot or script can be very cheap.
On the other hand, adoption won’t happen overnight. Many instructors have concerns about AI. A recent article notes teachers worry about issues like not enough time to learn new tools, AI weakening students’ own thinking, and data/privacy risks [3].
In practice, schools are moving cautiously. They’re setting up “ethical AI” guidelines and training for faculty (some even working with AI companies) to make sure technology is used sensibly [3] [3]. Importantly, demand for college instructors isn’t collapsing: the Bureau of Labor Statistics projects only slow job growth (about 1–2% over the next decade) [4], suggesting these roles are still needed.
Overall, AI is likely to augment postsecondary teachers, not erase them. It can take on repetitive chores (like grading simple quizzes or generating draft materials), giving teachers more time for creative work. But real teaching requires human skills – understanding students’ needs, leading discussions, and handling complex projects – that AI cannot fully replace.
As one educator puts it, good teaching “is the antidote” to any cheating or shortcuts AI might bring [1] [3]. In short, students and teachers should stay calm: AI can help make college teaching more efficient, but the human side of education remains irreplaceable.

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Median Wage
$78,490
Jobs (2024)
183,400
Growth (2024-34)
+1.8%
Annual Openings
13,500
Education
Doctoral or professional degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034

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