Can AI Replace Speech-Language Pathology Assistants in 2026?
Lower exposure. AI could handle about 76% of today's speech-language pathology assistants tasks by 2036, and there is a 18% chance the number of jobs falls by a fifth or more. AI is likely to take over many tasks outright.
Timeline
Tasks AI can do
43%
Headcount (2025 = 100)
98
Chance of 20%+ fewer jobs
9% 2030 · 18% 2036
One person could cover, 2036
2.4 roles
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Lower-risk jobs that use similar skills
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Lower-risk jobs with similar tasks
- Low Vision Therapists, Orientation and Mobility Specialists, and Vision Rehabilitation Therapists — 6% chance of contraction by 2036
- Hearing Aid Specialists — 6% chance of contraction by 2036
- Occupational Therapy Assistants — 4% chance of contraction by 2036
Similar occupations
Speech-Language Pathologists · Audiologists · Teaching Assistants, Special Education · Mental Health Counselors
Based on 11 O*NET tasks for "Speech-Language Pathology Assistants" (SOC 31-9099.01). LLM alone: 32% of tasks; with AI tools: 90%. Projections are a model, not official statistics. How we calculate this · Data version 2026-10