Healthcare Support · SOC 31-9099.01
SLP assistants implement therapy under supervision; AI threatens data tracking and prep work more than direct patient interaction.
Parts of the job are exposed, but judgment and context still matter.
Timeline: AI speech analysis tools are improving rapidly and will automate progress tracking and materials selection within 3-5 years; the direct therapy interaction role is more durable but not immune.
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AI job-risk card
Speech-Language Pathology Assistants is watch on AIFear. Parts of the job are exposed, but judgment and context still matter.
AIFear.com
Our AI Fear Score for Speech-Language Pathology Assistants is 38/100 (Watch). Parts of the job are exposed, but judgment and context still matter.
38 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Collecting and compiling client performance data, Preparing charts, graphs, and visual performance displays, Scheduling activities and maintaining supply inventories, Selecting and preparing speech-language instructional materials. Harder to automate: Implementing therapy protocols during patient sessions, Providing direct speech and language skill practice, Operating and maintaining treatment equipment, Assisting with patient behavioral management in sessions.
Lean into AAC (augmentative and alternative communication) devices, AI-assisted therapy progress tracking, Behavioral data collection techniques, Evidence-based SLP intervention methods. Consider roles such as Speech-language pathologist (SLP) — requires master's or Special education classroom aide or Applied behavior analysis (ABA) technician.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.