Special education teachers

AI Overlap Index
41.0 / 100
Partially Exposed

Clear pressure on routine tasks. Composition of the role will shift within the decade.

SOC 25-2050 · Education Training And Library

Bureau of Labor Statistics
Median pay
$64,270/yr
Hourly
$31/hr
Jobs 2024
559,500
Projected 2034
551,800
10-yr outlook
-1% · Decline
Employment change
-7,700
Entry education
Bachelor's degree
SOC code
25-2050

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
40.0
contribution to AOI: 24.0
Automation Potential weight 10%
50.0
contribution to AOI: 5.0
Market Pressure weight 15%
45.0
contribution to AOI: 6.8
Entry Barrier Erosion weight 15%
35.0
contribution to AOI: 5.2

By seniority

multiplicative adjustment from category curve

Entry
47.1
mult 1.15x
Mid
41.0
mult 1.00x
Senior
33.6
mult 0.82x

Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.

Task-level analysis

scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance

10 tasks · model: claude-sonnet-4-5-20250929
Supporting t10

Maintain student records and prepare lesson plans using technology

AI can automate record-keeping, generate lesson plans from curriculum standards and IEP goals, populate templates with student data, and organize digital files. Teachers review for accuracy and compliance, but AI handles the bulk of documentation and planning logistics with minimal human labor.

BLS evidence: The page notes 'Most use computers to keep records of their students' performance, prepare lesson plans, and update IEPs' and teachers 'grade papers, update students' records, and prepare lessons.'

72
automation
Core t3

Adapt general education lessons to meet students' needs

AI can effectively modify lesson content, simplify text, generate alternative formats, and suggest scaffolding strategies based on disability type and grade level. The teacher still needs to validate appropriateness for specific students and classroom context, but AI handles most of the adaptation work.

BLS evidence: The overview states they 'adapt general education lessons and teach various subjects to students with mild to moderate disabilities,' and duties include 'Adapt general lessons to meet students' needs.'

62
automation
Core t2

Develop Individualized Education Programs (IEPs) for each student

AI can draft IEP components from assessment data, suggest accommodations based on disability categories, and generate measurable goals using templates. However, legal compliance, family input integration, and balancing competing priorities require substantial human oversight and modification of AI outputs.

BLS evidence: The page states teachers 'develop Individualized Education Programs (IEPs) for each student' and emphasizes that 'Students' IEPs outline their goals, including academic or behavioral milestones.'

58
automation
Important t5

Implement IEPs and track students' progress and performance

AI can track quantitative progress data, flag students falling behind benchmarks, and generate progress reports from recorded observations. However, interpreting qualitative behavioral changes, adjusting interventions in real-time, and making instructional pivots require human judgment that AI supports but cannot replace.

BLS evidence: Teachers must 'Implement IEPs, assess students' performance, and track their progress' and 'Update IEPs throughout the school year to reflect students' progress and goals.'

55
automation
Important t7

Plan activities specific to each student's abilities

AI can generate activity ideas tailored to disability categories and ability levels, suggest modifications, and provide resource libraries. However, selecting activities requires knowing individual student interests, sensory sensitivities, and behavioral triggers that emerge from daily interaction, limiting AI to an assistive role.

BLS evidence: The Duties section includes 'Plan activities that are specific to each student's abilities' as a key responsibility.

48
automation
Important t6

Collaborate with parents, teachers, counselors, and administrators on student progress

While AI can schedule meetings, summarize student data, and draft communication templates, effective collaboration requires building trust relationships, navigating interpersonal dynamics, reading emotional cues, and facilitating difficult conversations that AI cannot authentically perform.

BLS evidence: The page states teachers 'Discuss students' progress with parents, other teachers, counselors, and administrators' and 'work with general education teachers, specialists, administrators, and parents to develop IEPs.'

35
automation
Important t8

Prepare students for transitions between grades and to life outside school

Transition planning involves teaching life skills, coordinating with community agencies, assessing real-world readiness, and building student self-advocacy—all requiring physical presence and human relationship-building. AI can generate transition checklists and resource lists but cannot execute the hands-on preparation work.

BLS evidence: Teachers 'Prepare and help students transition from grade to grade and from school to life outside of school,' including teaching basic life skills to students with moderate to severe disabilities.

30
automation
Core t1

Assess students' skills and determine their educational needs

Assessment requires in-person observation of student behavior, social-emotional responses, and real-time adaptive questioning that AI cannot replicate. While AI can assist with standardized test scoring and data analysis, determining educational needs requires nuanced human judgment about developmental, behavioral, and contextual factors.

BLS evidence: The Duties section lists 'Assess students' skills and determine their educational needs' as a primary task, and critical-thinking skills are emphasized for assessing students' progress.

25
automation
Important t9

Supervise and mentor teacher assistants working with students with disabilities

Supervision requires observing assistant-student interactions in real-time, providing immediate feedback on behavioral interventions, modeling techniques, and managing classroom dynamics. Mentoring involves building professional relationships and transferring tacit knowledge that AI cannot replicate in physical educational settings.

BLS evidence: The Duties section explicitly states teachers 'Supervise and mentor teacher assistants who work with students with disabilities.'

20
automation
Core t4

Teach and mentor students as a class, in small groups, and one-on-one

Teaching students with disabilities requires physical presence, real-time behavioral management, emotional regulation support, and adaptive responses to unpredictable student needs. AI cannot provide the hands-on assistance, social modeling, or crisis intervention that special education teaching demands.

BLS evidence: The Duties section explicitly lists 'Teach and mentor students as a class, in small groups, and one-on-one' as a primary responsibility.

12
automation

Task heatmap

automation score by task, sorted by weighted contribution

🔒

Unlock with Jobpocalypse Pro

Career pivot paths, wage impact analysis, AI tool recommendations, and task heatmaps for every occupation. $9/month, cancel anytime.

See plans

or

Downloadable PDF for this occupation only. One-time payment, yours forever.

◆ Premium insight
◆ Premium insight
◆ Premium insight

External signals and sources

category-level priors and BLS fields that feed the four non-task signals

Automation Potential
50
karpathy 5/10
  • Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
Market Pressure
45
outlook: Decline
  • BLS projected outlook: Decline (-1%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
35
ed: Bachelor's degree
  • BLS typical entry-level education: Bachelor's degree
  • Credential trend signal (annual refresh)

Related in Education Training And Library

closest AOI neighbors in the same category