Evolving

Last Update: 2/17/2026

Your role’s AI Resilience Score is

46.4%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

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

Engineering Teachers, Postsecondary

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.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

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 analysis

Contributing 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

Learn about this score
Evolving iconEvolving

68.8%

68.8%

Microsoft's Working with AI

AI Applicability

Learn about this score
Changing fast iconChanging fast

6.7%

6.7%

Anthropic's Economic Index

Changing fast iconChanging fast

22.4%

22.4%

Will Robots Take My Job

Automation Resilience

Learn about this score
Evolving iconEvolving

67.1%

67.1%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

Learn about this score

Growth Rate (2024-34):

8.1%

Growth Percentile:

87.8%

Annual Openings:

4,100

Annual Openings Pct:

35.5%

Analysis of Current AI Resilience

Engineering Teachers

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

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.

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AI Adoption

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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More Career Info

Career: Engineering Teachers, Postsecondary

Employment & Wage Data

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

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

95% ResilienceCore Task

Select and obtain materials and supplies such as textbooks and laboratory equipment.

2

95% ResilienceSupplemental

Perform administrative duties such as serving as department head.

3

95% ResilienceSupplemental

Provide professional consulting services to government or industry.

4

95% ResilienceSupplemental

Participate in campus and community events.

5

90% ResilienceCore Task

Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.

6

90% ResilienceCore Task

Supervise students' laboratory work.

7

90% ResilienceCore Task

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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