As of July 2026,
Special Education Teachers, Elementary School has an AI-exposure score of 43/100
(Moderate exposure) on the AI-Safe Careers index. This is an estimate of task
exposure, not a prediction of job loss.
Score inputs for this role:
O*NET-derived modeled estimate. No matched Penn, Anthropic, or AIOE occupation signal was available for this role. Treat it as a lower-confidence directional estimate. BLS labor-market figures are separate context, not score inputs.
Special Education Teachers, Elementary School
More exposed than 14% of the roles we track.
Will AI replace Special Education Teachers, Elementary School?
No exposure score can predict whether AI will replace this role. The 43/100 score means our current model estimates moderate task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.
Early-career context (study ages 22-25)
This role is in our Moderate exposure band, not our highest-exposure bands. The study's 16% finding should not be applied directly to this role.
The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.
Use the task map to identify durable work and the skills worth building early.
Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision
This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.
How this role compares to similar Education roles
What this role usually involves
Teach academic, social, and life skills to elementary school students with learning, emotional, or physical disabilities. Includes teachers who specialize and work with students who are blind or have visual impairments; students who are deaf or have hearing impairments; and students with intellectual disabilities.
Broad guidance for this preparation level; exact requirements vary by role and employer.
Source: O*NET 29.1 exact occupation - Special Education Teachers, Elementary School, SOC 25-2056.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.
Special Education Teachers, Elementary School tasks, by AI exposure
No automatable tasks identified for this role - its real, individually-assessed tasks consistently read as durable (100%).
No augmentable tasks identified for this role - its real, individually-assessed tasks consistently read as durable (100%).
- Maintain accurate and complete student records as required by laws, district policies, or administrative regulations.
- Prepare classrooms with a variety of materials or resources for children to explore, manipulate, or use in learning activities or imaginative play.
We analyzed all 20 Special Education Teachers, Elementary School tasks - 20 durable. The full task map - every task with exactly what to do about each - is in your Career Report.
Your report unlocks three concrete artifacts
Every task scored with what to automate, augment, or protect.
Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.
A keepable roadmap plus resume and LinkedIn repositioning.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.
Adjacent career paths
Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.
Your AI-Safe Career Report
Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.
Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026
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