37
/100

SOC 25-2031

Secondary School Teachers, Except Special and Career/Technical Education

ModerateFrey/Osborne: 0.8%

Risk Score

โš ๏ธ

37/100

Moderate

US Employment

๐Ÿ‘ฅ

1,072,540

Total workers

Median Wage

๐Ÿ’ฐ

$65K

$47K โ€“ $105K

Projected Growth

๐Ÿ“ˆ

-1.6%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

74/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Secondary School Teachers, Except Special and Career/Technical Education face a risk score of 37/100 โ€” 7 points below 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 $65K ($18K 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 37/100, Secondary School Teachers, Except Special and Career/Technical Education faces moderate automation pressure. While tasks like ai coding assistants reducing developer demand are increasingly handled by AI, the role retains significant human elements. The 1,072,540 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 Secondary School Teachers, Except Special and Career/Technical Education?

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

โš ๏ธ Top Risk Factors

1

AI coding assistants reducing developer demand

2

Automated data interpretation and insight generation

3

Generative AI producing marketing and creative copy

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“

Developing creative and engaging hands-on lessons

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

Prepare materials and classrooms for class activities.

โ€ข

Instruct through lectures, discussions, and demonstrations in one or more subjects, such as English, mathematics, or social studies.

โ€ข

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

โ€ข

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

โ€ข

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

๐Ÿ’ป Technology Skills

โ€ข

Development environment software

โ€ข

Data base user interface and query software

โ€ข

Computer based training software

โ€ข

Analytical or scientific software

โ€ข

Electronic mail software

๐ŸŽ“ Key Knowledge Areas

โ€ข

English Language

โ€ข

Education and Training

โ€ข

Psychology

โ€ข

Computers and Electronics

โ€ข

Customer and Personal Service

๐Ÿ“Š vs National Average

Median Wage$65K
+$18K

National avg: $46K

Risk Score37/100
-7

National avg: 44/100

GenAI Exposure74/100
+36

National avg: 38/100

Projected Growth-1.6%
-5.3%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Postsecondary Teachers22$82K75%
Postsecondary Teachers, All Other22$78K75%
Teachers and Instructors, All Other23$65K73%