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 engineering, helping them understand concepts and solve problems to prepare for engineering careers.
This role is evolving
The career of postsecondary engineering teachers is labeled as "Evolving" because AI is starting to play a role in tasks like drafting grant proposals and creating course materials. However, it doesn't replace the crucial human elements like teaching, mentoring, and making complex decisions.
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 engineering teachers is labeled as "Evolving" because AI is starting to play a role in tasks like drafting grant proposals and creating course materials. However, it doesn't replace the crucial human elements like teaching, mentoring, and making complex decisions.
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
Microsoft's Working with AI
AI Applicability
Anthropic's Economic Index
AI 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
Engineering Teachers
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Some parts of a college engineering professor’s job are already getting AI help, while others remain mostly human. For example, writing tasks see a lot of AI use. About 15% of researchers report using AI tools to draft grant proposals [1], and many professors use chatbots like ChatGPT to sketch out syllabi, problem sets, or lecture notes [2] [3].
One analysis found that over half of educators’ AI queries were about creating course content (curriculum development) [3]. These tools tend to augment the teacher’s work – generating ideas or text that the professor then edits and personalizes. In contrast, routine record-keeping and committee work remain largely manual.
We found no examples of AI running meetings or picking out textbooks; such tasks need personal judgment. Even grading by AI is still rare and experimental. In one study AI was used in only about 7% of grading tasks, often requiring a human to check the results [3] [2].
In short, AI can help professors draft materials and proposals, but it isn’t replacing the human touch in teaching, mentoring, or complex decisions.

AI in the real world
AI tools are cheap and widely available, so many educators have started trying them. Nearly half of university instructors say they use AI weekly to help prepare their classes [2]. Free chatbots like ChatGPT can whip up practice problems or grammar fixes quickly, giving busy teachers more time.
Some find this “time saved” very welcome [2]. However, adoption also faces hurdles. Students and colleagues sometimes worry about fairness if teachers use AI secretly [2] [2].
For example, a French report noted clashes when students saw professors using ChatGPT after they were told not to [2]. Grant agencies even require professors to disclose AI use in proposals [1]. Overall, the benefits (free tools, time-saving) encourage use, but issues like trust, training, and academic rules can slow it.
In the end, human skills – understanding students, hands-on labs, and expert judgment – remain central in engineering teaching, even as AI lends a hand [2] [3].

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Median Wage
$106,120
Jobs (2024)
50,300
Growth (2024-34)
+8.1%
Annual Openings
4,100
Education
Doctoral or professional degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Select and obtain materials and supplies such as textbooks and laboratory equipment.
Perform administrative duties such as serving as department head.
Provide professional consulting services to government or industry.
Participate in campus and community events.
Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.
Supervise students' laboratory work.
Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction.
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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