52
/100

SOC 25-1032

Engineering Teachers, Postsecondary

ElevatedFrey/Osborne: 40.0%

Risk Score

โš ๏ธ

52/100

Elevated

US Employment

๐Ÿ‘ฅ

39,910

Total workers

Median Wage

๐Ÿ’ฐ

$106K

$60K โ€“ $201K

Projected Growth

๐Ÿ“ˆ

+8.1%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

95/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Engineering Teachers, Postsecondary face a risk score of 52/100 โ€” 8 points above the national average of 44. With 95/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $106K ($60K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 52/100, Engineering Teachers, Postsecondary faces moderate automation pressure. While tasks like ai summarization replacing manual report compilation are increasingly handled by AI, the role retains significant human elements. The 39,910 workers in this occupation should focus on strengthening skills in inspiring and motivating students through personal connection and adapting instruction to individual learning needs in real-time to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Engineering Teachers, Postsecondary?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

AI summarization replacing manual report compilation

2

Large language model automation of analysis tasks

3

AI tutoring systems providing personalized instruction

4

Virtual classroom platforms reducing instructor demand

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Inspiring and motivating students through personal connection

โœ“

Adapting instruction to individual learning needs in real-time

โœ“

Managing classroom dynamics and student behavior

โœ“

Mentoring students through personal and academic challenges

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.

โ€ข

Prepare course materials, such as syllabi, homework assignments, and handouts.

โ€ข

Evaluate and grade students' class work, laboratory work, assignments, and papers.

โ€ข

Write grant proposals to procure external research funding.

โ€ข

Supervise undergraduate or graduate teaching, internship, and research work.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Computer based training software

โ€ข

Object or component oriented development software

โ€ข

Calendar and scheduling software

โ€ข

Word processing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Engineering and Technology

โ€ข

Design

โ€ข

Computers and Electronics

โ€ข

Mathematics

โ€ข

English Language

๐Ÿ“Š vs National Average

Median Wage$106K
+$60K

National avg: $46K

Risk Score52/100
+8

National avg: 44/100

GenAI Exposure95/100
+57

National avg: 38/100

Projected Growth8.1%
+4.4%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Dentists, All Other Specialists13$226K63%
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K57%
Architectural and Engineering Managers23$168K63%