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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Somewhat Resilient
Last Update: 5/19/2026
Your role’s AI Resilience Score is
47.7%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forSpecial Education Teachers, All Other
Special Education Teachers, All Other are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Special education teaching is "Somewhat Resilient" because while AI is already handling a meaningful chunk of the work — like drafting IEPs, adapting learning materials, and crunching data — the heart of the job still belongs to humans. The deep trust-building, emotional support, and legal judgment that special educators provide simply can't be replicated by an algorithm, especially when every student's needs are so unique and personal.
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Special education teaching is "Somewhat Resilient" because while AI is already handling a meaningful chunk of the work — like drafting IEPs, adapting learning materials, and crunching data — the heart of the job still belongs to humans. The deep trust-building, emotional support, and legal judgment that special educators provide simply can't be replicated by an algorithm, especially when every student's needs are so unique and personal.
Read full analysisAnalysis of Current AI Resilience
Special Ed Teachers, All Other
Updated Quarterly • Last Update: 5/14/2026
How is AI changing Special Ed Teachers, All Other jobs?
Right now, AI in special education is mostly augmenting teachers rather than replacing them. The biggest use case is paperwork: 57% of special education teachers said they used AI to help them with IEPs or plans to accommodate students' disabilities under Section 504 during the 2024-25 school year, up from 39% in 2023-24, and 15% used AI to write IEPs or 504 plans in full, up from 8% the previous year, according to a Center for Democracy and Technology survey reported by Education Week [1]. Beyond paperwork, the Council for Exceptional Children explains [2] that AI-driven tools are already enabling teachers to differentiate instruction more effectively, with adaptive platforms adjusting content difficulty in real time, and text-to-speech, speech-to-text, captioning, and translation tools making materials more accessible.
EdTech Magazine reports [3] that AI-powered augmentative and alternative communication systems can analyze speech patterns to help speech-language pathologists figure out what a child is trying to say, and high schoolers can use AI-powered VR to practice social skills in low-stakes scenarios.
Sources
How fast is AI adoption growing for Special Ed Teachers, All Other?
Adoption is moving fast because teachers are stretched thin. K-12 Dive notes [4] that saving time was the main benefit, with research showing teachers who use AI weekly may save up to six weeks over a school year — a significant savings given severe special educator shortages and burnout. But brakes exist: a March 2026 CIDDL brief [5] explores how generative AI can support IEPs without diminishing quality, and Government Technology reports [6] legal and ethical worries are rising.
Privacy laws like FERPA and IDEA require human review, bias in AI outputs is a real risk, and parents may distrust plans that feel "disconnected from the individual needs" of their child. The bottom line: this is a job where empathy, relationship-building, and legal judgment still belong to humans. AI will likely keep handling drafts, data crunching, and communication tools — freeing you to do the human work that makes special education powerful in the first place.
Sources
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More Career Info
Career: Special Education Teachers, All Other
They support students with unique learning needs by creating tailored lessons and helping them succeed in school.
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Employment & Wage Data
Median Wage
$67,430
Jobs (2024)
41,000
Growth (2024-34)
+1.1%
Annual Openings
2,900
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
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