39
/100

SOC 25-2059

Special Education Teachers, All Other

ModerateFrey/Osborne: 0.8%

Risk Score

โš ๏ธ

39/100

Moderate

US Employment

๐Ÿ‘ฅ

39,350

Total workers

Median Wage

๐Ÿ’ฐ

$67K

$43K โ€“ $109K

Projected Growth

๐Ÿ“ˆ

+1.1%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

87/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Special Education Teachers, All Other face a risk score of 39/100 โ€” 5 points below the national average of 44. With 87/100 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 $67K ($21K 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 39/100, Special Education Teachers, All Other 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 39,350 workers in this occupation should focus on strengthening skills in adapting instruction to individual learning needs in real-time 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, All Other?

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

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“

Mentoring students through personal and academic challenges

โœ“

Developing creative and engaging hands-on lessons

โœ“

Inspiring and motivating students through personal connection

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

Adapt instructional techniques to the age and skill levels of students.

โ€ข

Instruct students, using adapted physical education techniques, to improve physical fitness, gross motor skills, perceptual motor skills, or sports and game achievement.

โ€ข

Provide individual or small groups of students with adapted physical education instruction that meets desired physical needs or goals.

โ€ข

Provide students positive feedback to encourage them and help them develop an appreciation for physical education.

โ€ข

Establish and maintain standards of behavior to create safe, orderly, and effective environments for learning.

๐Ÿ’ป Technology Skills

โ€ข

Data base user interface and query software

โ€ข

Electronic mail software

โ€ข

Web page creation and editing software

โ€ข

Spreadsheet software

โ€ข

Office suite software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Education and Training

โ€ข

Psychology

โ€ข

English Language

โ€ข

Therapy and Counseling

โ€ข

Customer and Personal Service

๐Ÿ“Š vs National Average

Median Wage$67K
+$21K

National avg: $46K

Risk Score39/100
-5

National avg: 44/100

GenAI Exposure87/100
+49

National avg: 38/100

Projected Growth1.1%
-2.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Postsecondary Teachers22$82K79%
Postsecondary Teachers, All Other22$78K79%
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K51%