Share and intensity of work current AI systems can materially affect.
SOC 29-1122
Occupational Therapists AI displacement risk
OT work is teaching people to button shirts, hold jobs, and live independently after injury or illness — adaptive, hands-on, and relationship-driven. Documentation tools reduce note burden; activity-based therapy itself cannot be digitized.
Likely potential for exposed tasks to move to software after workflow integration.
The role's tools include apps and adaptive software, but the therapist selects, grades, and coaches activities against a specific person's deficits and home environment. Demand grows with rehabilitation need, independent of tooling.
Distribution
Where Occupational 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.
30 O*NET task statements matched to SOC 29-1122. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $100,330 (May 2025, US national). The latest BLS row matched SOC 29-1122.
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 Occupational Therapists
SOC 29-1122 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 Occupational Therapists
The current evidence import matched 30 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 tasks30
SOC29-1122
- Core task / ID 349
Test and evaluate patients' physical and mental abilities and analyze medical data to determine realistic rehabilitation goals for patients.
- Core task / ID 347
Complete and maintain necessary records.
- Core task / ID 351
Plan, organize, and conduct occupational therapy programs in hospital, institutional, or community settings to help rehabilitate persons with disabilities because of illness, injury or psychological or developmental problems.
- Core task / ID 358
Plan and implement programs and social activities to help patients learn work or school skills and adjust to handicaps.
- Core task / ID 350
Select activities that will help individuals learn work and life-management skills within limits of their mental or physical capabilities.
- Core task / ID 348
Evaluate patients' progress and prepare reports that detail progress.
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 set rehab goals
Exposure 30, automation 10%, augmentation 54%.
O*NET evidence: Test and evaluate patients' physical and mental abilities and analyze medical data to d... (ID 349)
Conduct therapy programs and activities
Exposure 14, automation 3%, augmentation 26%.
O*NET evidence: Plan, organize, and conduct occupational therapy programs in hospital, institutional, o... (ID 351)
Document progress and reports
Exposure 56, automation 28%, augmentation 68%.
O*NET evidence: Write reports or complete forms to document assessments, training, progress, or follow-... (ID 17349)
Train caregivers and advise on environments
Exposure 24, automation 6%, augmentation 44%.
O*NET evidence: Train caregivers in providing for the needs of a patient during and after therapy. (ID 15231)
TaskExposureAutomationAugmentation
Evaluate patients and set rehab goals3010%54%
Conduct therapy programs and activities143%26%
Document progress and reports5628%68%
Train caregivers and advise on environments246%44%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
LowRehabilitation Program Director
Training horizon: 3-8 months. Skill overlap 70. Wage preservation signal 112.
- Own clinic outcome metrics
- Supervise therapy teams
- Design service lines
credentialed transition
LowAssistive Technology Specialist
Training horizon: 4-9 months. Skill overlap 64. Wage preservation signal 102.
- Earn ATP certification
- Evaluate adaptive devices
- Run equipment trials with clients
Comparison guides
Compare the next move before you commit
3-8 months
Occupational Therapists to Rehabilitation Program Director
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Occupational Therapists into Rehabilitation Program Director.
4-9 months
Occupational Therapists to Assistive Technology Specialist
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Occupational Therapists into Assistive Technology Specialist.
What the AI risk score means for Occupational Therapists
The displacement pressure score for Occupational 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 reports carries 28% automation pressure, while Document progress and reports 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: $100,330 (May 2025, US national). Employment context: Rehabilitation profession with strong aging-population demand. Typical education: Master's 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
- Aging demographics drive demand
- Documentation tools reduce admin load
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Occupational 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.
Activity-based 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.
Patient 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.
Adaptive equipment
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.
Caregiver training
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 Rehabilitation Program Director, such as own clinic outcome metrics.
- By 90 days, compare internal openings and external postings for Rehabilitation Program Director or Assistive Technology Specialist and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Occupational Therapists
Will AI replace Occupational Therapists?
OT work is teaching people to button shirts, hold jobs, and live independently after injury or illness — adaptive, hands-on, and relationship-driven. Documentation tools reduce note burden; activity-based therapy itself cannot be digitized. 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 Occupational Therapists work are most exposed to AI?
Document progress and reports and Evaluate patients and set rehab goals show the strongest automation pressure in this model. Document progress and reports and Evaluate patients and set rehab goals are better treated as AI-augmented work.
What should Occupational Therapists learn next?
Start with Activity-based therapy, Patient assessment, Adaptive equipment. The most practical adjacent paths in this model are Rehabilitation Program Director and Assistive Technology Specialist.
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