Will AI replace Physical Therapists?
Most of the work in Physical Therapists still leans on things AI struggles with — research rates its theoretical AI reach at only ~19%, and real-world use lower still.
O*NET-SOC 29-1123
How your 23 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~19%). By late 2025, real-world AI use had reached about 2% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~19%), real-world use (~2%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 23 tasks, ratedBased on real task-level AI scores — click to collapse
- Record prognosis, treatment, response, and progress in patient's chart or enter information into computer.
- Identify and document goals, anticipated progress, and plans for reevaluation.
- Perform and document an initial exam, evaluating data to identify problems and determine a diagnosis prior to intervention.
- Review physician's referral and patient's medical records to help determine diagnosis and physical therapy treatment required.
- Provide educational information about physical therapy or physical therapists, injury prevention, ergonomics, or ways to promote health.
- Refer clients to community resources or services.
- Conduct or support research and apply research findings to practice.
- 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.
- Instruct patient and family in treatment procedures to be continued at home.
- Evaluate effects of treatment at various stages and adjust treatments to achieve maximum benefit.
- Confer with the patient, medical practitioners, or appropriate others to plan, implement, or assess the intervention program.
- Administer manual exercises, massage, or traction to help relieve pain, increase patient strength, or decrease or prevent deformity or crippling.
- Obtain patients' informed consent to proposed interventions.
- Test and measure patient's strength, motor development and function, sensory perception, functional capacity, or respiratory or circulatory efficiency and record data.
- Direct, supervise, assess, and communicate with supportive personnel.
- Provide information to the patient about the proposed intervention, its material risks and expected benefits, and any reasonable alternatives.
- Inform patients and refer to appropriate practitioners when diagnosis reveals findings outside physical therapy.
- Discharge patient from physical therapy when goals or projected outcomes have been attained and provide for appropriate follow-up care or referrals.
- Administer treatment involving application of physical agents, using equipment, moist packs, ultraviolet or infrared lamps, or ultrasound machines.
- Construct, maintain, or repair medical supportive devices.
- Evaluate, fit, or adjust prosthetic or orthotic devices or recommend modification to orthotist.
- Teach physical therapy students or those in other health professions.
- Participate in community or community agency activities or help to formulate public policy.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.