37
/100

SOC 25-2057

Special Education Teachers, Middle School

ModerateFrey/Osborne: 0.8%

Risk Score

โš ๏ธ

37/100

Moderate

US Employment

๐Ÿ‘ฅ

95,330

Total workers

Median Wage

๐Ÿ’ฐ

$65K

$48K โ€“ $103K

Projected Growth

๐Ÿ“ˆ

-1.9%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

74/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Special Education Teachers, Middle School 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 ($19K 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, Special Education Teachers, Middle School faces moderate automation pressure. While tasks like ai tutoring systems providing personalized instruction are increasingly handled by AI, the role retains significant human elements. The 95,330 workers in this occupation should focus on strengthening skills in developing creative and engaging hands-on lessons and mentoring students through personal and academic challenges to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Special 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

AI tutoring systems providing personalized instruction

2

Chatbot displacement of customer-facing interactions

3

AI coding assistants reducing developer demand

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Developing creative and engaging hands-on lessons

โœ“

Mentoring students through personal and academic challenges

โœ“

Managing classroom dynamics and student behavior

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

Establish and enforce rules for behavior and policies and procedures to maintain order among students.

โ€ข

Modify the general education curriculum for students with disabilities, based upon a variety of instructional techniques and instructional technology.

โ€ข

Develop or write Individualized Education Programs (IEPs) for students.

โ€ข

Maintain accurate and complete student records, and prepare reports on children and activities, as required by laws, district policies, and administrative regulations.

โ€ข

Develop and implement strategies to meet the needs of students with a variety of handicapping conditions.

๐Ÿ’ป Technology Skills

โ€ข

Operating system software

โ€ข

Data base user interface and query software

โ€ข

Computer based training software

โ€ข

Electronic mail software

โ€ข

Video creation and editing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Education and Training

โ€ข

English Language

โ€ข

Psychology

โ€ข

Customer and Personal Service

โ€ข

Mathematics

๐Ÿ“Š vs National Average

Median Wage$65K
+$19K

National avg: $46K

Risk Score37/100
-7

National avg: 44/100

GenAI Exposure74/100
+36

National avg: 38/100

Projected Growth-1.9%
-5.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Postsecondary Teachers22$82K75%
Postsecondary Teachers, All Other22$78K75%
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K67%