Replacemeter

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.

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Timeline

2030
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
0%50%100%2026202820302032203420362026: 26%2027: 28%2028: 32%2029: 37%2030: 43%2031: 51%2032: 59%2033: 65%2034: 70%2035: 74%2036: 76%43%
Share of today's tasks AI can perform
40801202026202820302032203420362026: 1012027: 1012028: 1012029: 1002030: 982031: 972032: 952033: 932034: 922035: 922036: 9298
Headcount index, 2025 = 100 (dashed line)

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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