44
/100

SOC 25-2023

Career/Technical Education Teachers, Middle School

ElevatedFrey/Osborne: 26.0%

Risk Score

โš ๏ธ

44/100

Elevated

US Employment

๐Ÿ‘ฅ

14,200

Total workers

Median Wage

๐Ÿ’ฐ

$64K

$47K โ€“ $98K

Projected Growth

๐Ÿ“ˆ

-2%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

74/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Career/Technical Education Teachers, Middle School face a risk score of 44/100 โ€” 0 points above the national average of 44. With 74/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $64K ($17K 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 44/100, Career/Technical Education Teachers, Middle School 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 14,200 workers in this occupation should focus on strengthening skills in adapting instruction to individual learning needs in real-time and managing classroom dynamics and student behavior to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Career/Technical Education Teachers, Middle School?

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 tutoring systems providing personalized instruction

3

AI-generated written content replacing manual drafting

4

Automated grading and assessment tools

๐Ÿ›ก๏ธ Tasks Safe from Automation

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

โœ“

Developing creative and engaging hands-on lessons

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

Instruct students individually and in groups, using various teaching methods, such as lectures, discussions, and demonstrations.

โ€ข

Prepare materials and classrooms for class activities.

โ€ข

Adapt teaching methods and instructional materials to meet students' varying needs and interests.

โ€ข

Establish and enforce rules for behavior and procedures for maintaining order among students.

โ€ข

Establish clear objectives for all lessons, units, and projects, and communicate those objectives to students.

๐Ÿ’ป Technology Skills

โ€ข

Data base management system software

โ€ข

Data base user interface and query software

โ€ข

Storage networking software

โ€ข

Cloud-based management software

โ€ข

Expert system software

๐ŸŽ“ Key Knowledge Areas

โ€ข

English Language

โ€ข

Education and Training

โ€ข

Psychology

โ€ข

Computers and Electronics

โ€ข

Administrative

๐Ÿ“Š vs National Average

Median Wage$64K
+$17K

National avg: $46K

Risk Score44/100
0

National avg: 44/100

GenAI Exposure74/100
+36

National avg: 38/100

Projected Growth-2.0%
-5.7%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Postsecondary Teachers22$82K74%
Postsecondary Teachers, All Other22$78K74%
Teachers and Instructors, All Other23$65K72%