Share and intensity of work current AI systems can materially affect.
SOC 29-1123
Physical Therapists AI displacement risk
Evaluation, manual therapy, and individualized program design are embodied clinical work. AI exercise apps handle generic home programs, but assessment of movement dysfunction, hands-on treatment, and clinical reasoning stay with the therapist.
Likely potential for exposed tasks to move to software after workflow integration.
Digital MSK tools capture some straightforward cases, yet the profession's core — diagnosing movement problems, progressing complex patients, and manual technique — requires presence and judgment that software does not deliver.
Distribution
Where Physical Therapists sits across 620 tracked roles
Displacement pressure 12 — higher than 2% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-08. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
24 O*NET task statements matched to SOC 29-1123. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $102,760 (May 2025, US national). The latest BLS row matched SOC 29-1123.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Physical Therapists
SOC 29-1123 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 12/100 role score and are not an occupation forecast.
+0.4% group wage
-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.
Economy-wide: +1.6% GDP and 3.9% unemployment.
-0.3% group wage
-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.
Economy-wide: +8.3% GDP and 4.6% unemployment.
-11.5% group wage
-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Physical Therapists
The current evidence import matched 24 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks24
SOC29-1123
- Core task / ID 363
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.
- Core task / ID 364
Perform and document an initial exam, evaluating data to identify problems and determine a diagnosis prior to intervention.
- Core task / ID 370
Record prognosis, treatment, response, and progress in patient's chart or enter information into computer.
- Core task / ID 367
Instruct patient and family in treatment procedures to be continued at home.
- Core task / ID 365
Evaluate effects of treatment at various stages and adjust treatments to achieve maximum benefit.
- Core task / ID 368
Confer with the patient, medical practitioners, or appropriate others to plan, implement, or assess the intervention program.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Evaluate patients and diagnose movement problems
Exposure 28, automation 9%, augmentation 50%.
Administer manual therapy and treatment
Exposure 12, automation 3%, augmentation 22%.
O*NET evidence: Administer manual exercises, massage, or traction to help relieve pain, increase patien... (ID 366)
Document progress and treatment plans
Exposure 54, automation 26%, augmentation 68%.
O*NET evidence: Identify and document goals, anticipated progress, and plans for reevaluation. (ID 374)
Instruct patients and families
Exposure 22, automation 6%, augmentation 40%.
O*NET evidence: Instruct patient and family in treatment procedures to be continued at home. (ID 367)
TaskExposureAutomationAugmentation
Evaluate patients and diagnose movement problems289%50%
Administer manual therapy and treatment123%22%
Document progress and treatment plans5426%68%
Instruct patients and families226%40%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
LowOrthopedic Clinical Specialist
Training horizon: 12-24 months. Skill overlap 76. Wage preservation signal 108.
- Complete residency or board hours
- Build outcome portfolios
- Master advanced manual techniques
role redesign
LowRehabilitation Clinic Director
Training horizon: 3-6 months. Skill overlap 70. Wage preservation signal 112.
- Own clinic operations
- Track outcome metrics
- Lead therapist teams
Comparison guides
Compare the next move before you commit
12-24 months
Physical Therapists to Orthopedic Clinical Specialist
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Physical Therapists into Orthopedic Clinical Specialist.
3-6 months
Physical Therapists to Rehabilitation Clinic Director
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Physical Therapists into Rehabilitation Clinic Director.
What the AI risk score means for Physical Therapists
The displacement pressure score for Physical Therapists is 12. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Document progress and treatment plans carries 26% automation pressure, while Document progress and treatment plans carries 68% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $102,760 (May 2025, US national). Employment context: Rehabilitation profession with aging-population demand. Typical education: Doctor of Physical Therapy degree plus state licensure.
Wage vulnerability is 32, while transition feasibility is 68. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Very low displacement pressure
- Digital tools handle simple cases only
- Aging demographics drive demand
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Physical Therapists, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Clinical movement assessment
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Manual therapy
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Program progression
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Outcome measurement
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Orthopedic Clinical Specialist, such as complete residency or board hours.
- By 90 days, compare internal openings and external postings for Orthopedic Clinical Specialist or Rehabilitation Clinic Director and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Physical Therapists
Will AI replace Physical Therapists?
Evaluation, manual therapy, and individualized program design are embodied clinical work. AI exercise apps handle generic home programs, but assessment of movement dysfunction, hands-on treatment, and clinical reasoning stay with the therapist. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Physical Therapists work are most exposed to AI?
Document progress and treatment plans and Evaluate patients and diagnose movement problems show the strongest automation pressure in this model. Document progress and treatment plans and Evaluate patients and diagnose movement problems are better treated as AI-augmented work.
What should Physical Therapists learn next?
Start with Clinical movement assessment, Manual therapy, Program progression. The most practical adjacent paths in this model are Orthopedic Clinical Specialist and Rehabilitation Clinic Director.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureOECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics