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AI exposure report
Will AI replace Physical Therapists?
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 Physical Therapists?
Not entirely. Today's AI tools can take on about 39% of the typical work in this occupation, mostly: record prognosis, treatment, response, and progress in patient's chart or enter information into computer. The parts that stay human include: Plan, prepare, or carry out individually designed programs of physical treatment to maintain, improve, or restore physical functioning, alleviate pain, or prevent physical dysfunction in patients.; Administer manual exercises, massage, or traction to help relieve pain, increase patient strength, or decrease or prevent deformity or crippling.; Perform and document an initial exam, evaluating data to identify problems and determine a diagnosis prior to intervention..
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.
+ 18 more tasks (27% of the week) in the full test.
Your human edge
- Plan, prepare, or carry out individually designed programs of physical treatment to maintain, improve, or restore physical functioning, alleviate pain, or prevent physical dysfunction in patients.
- Administer manual exercises, massage, or traction to help relieve pain, increase patient strength, or decrease or prevent deformity or crippling.
- Perform and document an initial exam, evaluating data to identify problems and determine a diagnosis prior to intervention.
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 SOAP notes for 20 de-identified treatment sessions and rewrite 5 home-exercise leaflets in plain language; log minutes saved per note.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 AI-generated summaries of current guidelines for your three most common referrals (e.g. low back pain, ACL rehab, frozen shoulder), verify every claim in the source, and log error rates.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
Pilot AI-assisted caseload scheduling and discharge handover templates for one month, then run a 60-minute training for colleagues on safe use and data rules.