50
/100

SOC 25-1194

Career/Technical Education Teachers, Postsecondary

ElevatedFrey/Osborne: 40.0%

Risk Score

โš ๏ธ

50/100

Elevated

US Employment

๐Ÿ‘ฅ

111,150

Total workers

Median Wage

๐Ÿ’ฐ

$61K

$39K โ€“ $107K

Projected Growth

๐Ÿ“ˆ

+0.7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

81/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Career/Technical Education Teachers, Postsecondary face a risk score of 50/100 โ€” 6 points above the national average of 44. With 81/100 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 $61K ($15K 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 50/100, Career/Technical Education Teachers, Postsecondary faces moderate automation pressure. While tasks like large language model automation of analysis tasks are increasingly handled by AI, the role retains significant human elements. The 111,150 workers in this occupation should focus on strengthening skills in managing classroom dynamics and student behavior and developing creative and engaging hands-on lessons to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Career/Technical Education Teachers, Postsecondary?

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

โš ๏ธ Top Risk Factors

1

Large language model automation of analysis tasks

2

AI-generated curriculum and lesson plan content

3

Generative AI producing marketing and creative copy

4

Adaptive learning technology replacing remedial roles

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Managing classroom dynamics and student behavior

โœ“

Developing creative and engaging hands-on lessons

โœ“

Mentoring students through personal and academic challenges

โœ“

Adapting instruction to individual learning needs in real-time

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

Observe and evaluate students' work to determine progress, provide feedback, and make suggestions for improvement.

โ€ข

Present lectures and conduct discussions to increase students' knowledge and competence using visual aids, such as graphs, charts, videotapes, and slides.

โ€ข

Supervise and monitor students' use of tools and equipment.

โ€ข

Administer oral, written, or performance tests to measure progress and to evaluate training effectiveness.

โ€ข

Provide individualized instruction and tutorial or remedial instruction.

๐Ÿ’ป Technology Skills

โ€ข

Computer based training software

โ€ข

Data base user interface and query software

โ€ข

Calendar and scheduling software

โ€ข

Word processing software

โ€ข

Information retrieval or search software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Education and Training

โ€ข

English Language

โ€ข

Mechanical

โ€ข

Customer and Personal Service

โ€ข

Mathematics

๐Ÿ“Š vs National Average

Median Wage$61K
+$15K

National avg: $46K

Risk Score50/100
+6

National avg: 44/100

GenAI Exposure81/100
+43

National avg: 38/100

Projected Growth0.7%
-3.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Postsecondary Teachers22$82K71%
Postsecondary Teachers, All Other22$78K71%
Teachers and Instructors, All Other23$65K84%