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AI exposure report
Will AI replace Speech-Language Pathologists?
Some of your tasks will be automated. People who use AI will have the edge.
Task exposure to today's AI
Moderate exposure
This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.
Get your personal scoreWill AI replace Speech-Language Pathologists?
Not entirely. Today's AI tools can take on about 41% of the typical work in this occupation, mostly: write reports and maintain proper documentation of information, such as client medicaid or billing records or caseload activities, including the initial evaluation, treatment, progress, and discharge of clients. The parts that stay human include: Administer hearing or speech and language evaluations, tests, or examinations to patients to collect information on type and degree of impairments, using written or oral tests or special instruments.; Teach clients to control or strengthen tongue, jaw, face muscles, or breathing mechanisms.; Instruct clients in techniques for more effective communication, such as sign language, lip reading, or voice improvement..
People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.
Which tasks AI can take on
The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.
+ 17 more tasks (50% of the week) in the full test.
Your human edge
- Administer hearing or speech and language evaluations, tests, or examinations to patients to collect information on type and degree of impairments, using written or oral tests or special instruments.
- Teach clients to control or strengthen tongue, jaw, face muscles, or breathing mechanisms.
- Instruct clients in techniques for more effective communication, such as sign language, lip reading, or voice improvement.
AI tools to try
Clinical documentation and transcription assistantsChatGPT / Claude for patient information (no patient data)Clinical decision support in your systemsRelated roles
A 3-phase AI learning plan
Phase 1
Less documentation time
- AI transcription and note drafting where your organisation allows it.
- Patient information leaflets in plain language.
- Never put identifiable patient data into public tools.
Project
Use an approved AI tool to draft 10 de-identified evaluation and progress notes plus 3 plain-language home-practice leaflets, and log minutes saved per note versus your usual time.Phase 2
Evidence and decision support
- Guideline and literature summaries with AI, checked in the source.
- Understand how decision-support tools reach their output.
- Know the limits and liability.
Project
Build an AI-assisted evidence summary on two treatment questions (e.g. stuttering fluency shaping, dysphagia thickened liquids), verify every claim in the cited source, and record the error rate.Phase 3
AI in care processes
- Coordination, scheduling and handover with AI help.
- Take part in your organisation's AI projects.
- Teach colleagues safe use.
Project
Draft an AI-supported handover and scheduling template for your caseload, then run a 45-minute training for colleagues on safe use and de-identification rules.