Share and intensity of work current AI systems can materially affect.
SOC 31-2021
Physical Therapist Assistants AI displacement risk
Guiding patients through exercises, manual therapy, and mobility training is embodied work that requires presence, touch, and motivation. Documentation tools reduce note-writing burden; the therapeutic relationship and hands-on treatment remain the job.
Likely potential for exposed tasks to move to software after workflow integration.
Rehabilitation demand is rising with an aging population, and licensure plus physical treatment make this one of the most AI-resilient clinical roles.
Distribution
Where Physical Therapist Assistants sits across 620 tracked roles
Displacement pressure 14 — higher than 8% 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.
21 O*NET task statements matched to SOC 31-2021. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $68,380 (May 2025, US national). The latest BLS row matched SOC 31-2021.
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 Therapist Assistants
SOC 31-2021 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 14/100 role score and are not an occupation forecast.
+1.1% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +1.6% GDP and 3.9% unemployment.
+5.9% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +8.3% GDP and 4.6% unemployment.
+33.6% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
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 Therapist Assistants
The current evidence import matched 21 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 tasks21
SOC31-2021
- Core task / ID 2008
Instruct, motivate, safeguard, and assist patients as they practice exercises or functional activities.
- Core task / ID 21192
Document patient information, such as notes on their progress.
- Core task / ID 15247
Observe patients during treatments to compile and evaluate data on their responses and progress and provide results to physical therapist in person or through progress notes.
- Core task / ID 21193
Instruct patients in proper body mechanics and in ways to improve functional mobility, such as aquatic exercise.
- Core task / ID 2013
Secure patients into or onto therapy equipment.
- Core task / ID 2009
Confer with physical therapy staff or others to discuss and evaluate patient information for planning, modifying, or coordinating treatment.
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
Guide patients through exercises
Exposure 12, automation 3%, augmentation 20%.
O*NET evidence: Instruct, motivate, safeguard, and assist patients as they practice exercises or functi... (ID 2008)
Document patient progress
Exposure 54, automation 26%, augmentation 60%.
O*NET evidence: Document patient information, such as notes on their progress. (ID 21192)
Administer manual therapy and modalities
Exposure 14, automation 4%, augmentation 20%.
O*NET evidence: Administer active or passive manual therapeutic exercises, therapeutic massage, aquatic... (ID 15248)
Instruct patients and caregivers
Exposure 24, automation 6%, augmentation 38%.
O*NET evidence: Communicate with or instruct caregivers or family members on patient therapeutic activi... (ID 15249)
TaskExposureAutomationAugmentation
Guide patients through exercises123%20%
Document patient progress5426%60%
Administer manual therapy and modalities144%20%
Instruct patients and caregivers246%38%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
LowPhysical Therapist
Training horizon: 24-36 months. Skill overlap 72. Wage preservation signal 152.
- Complete DPT prerequisites
- Build observation hours
- Plan doctoral program applications
role redesign
LowRehabilitation Program Coordinator
Training horizon: 2-5 months. Skill overlap 70. Wage preservation signal 104.
- Coordinate treatment schedules
- Track outcome metrics
- Manage home exercise programs
Comparison guides
Compare the next move before you commit
24-36 months
Physical Therapist Assistants to Physical Therapist
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Physical Therapist Assistants into Physical Therapist.
2-5 months
Physical Therapist Assistants to Rehabilitation Program Coordinator
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Physical Therapist Assistants into Rehabilitation Program Coordinator.
What the AI risk score means for Physical Therapist Assistants
The displacement pressure score for Physical Therapist Assistants is 14. 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 patient progress carries 26% automation pressure, while Document patient progress carries 60% 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: $68,380 (May 2025, US national). Employment context: Fast-growing rehabilitation role with aging-population demand. Typical education: Associate degree plus state license.
Wage vulnerability is 42, 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
- Strong growth outlook
- Documentation automation is a relief
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Physical Therapist Assistants, 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.
Therapeutic exercise
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.
Patient motivation
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.
Progress documentation
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.
Modality administration
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 Physical Therapist, such as complete dpt prerequisites.
- By 90 days, compare internal openings and external postings for Physical Therapist or Rehabilitation Program Coordinator and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Physical Therapist Assistants
Will AI replace Physical Therapist Assistants?
Guiding patients through exercises, manual therapy, and mobility training is embodied work that requires presence, touch, and motivation. Documentation tools reduce note-writing burden; the therapeutic relationship and hands-on treatment remain the job. 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 Therapist Assistants work are most exposed to AI?
Document patient progress and Instruct patients and caregivers show the strongest automation pressure in this model. Document patient progress and Instruct patients and caregivers are better treated as AI-augmented work.
What should Physical Therapist Assistants learn next?
Start with Therapeutic exercise, Patient motivation, Progress documentation. The most practical adjacent paths in this model are Physical Therapist and Rehabilitation Program Coordinator.
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