Occupational Therapists

29-1122.00
Median wage $100,330/yr162,450 employed (US)Rank #635 of 923 scored · top 69% by substitution

Assess, plan, and organize rehabilitative programs that help build or restore vocational, homemaking, and daily living skills, as well as general independence, to persons with disabilities or developmental delays. Use therapeutic techniques, adapt the individual's environment, teach skills, and modify specific tasks that present barriers to the individual.

Sub-scores

0–100 · band = confidence interval from rater disagreement

Substitution21
Exposure21
Augmentation55

Substitution — the headline: capability discounted by cost, barriers and adoption.

Exposure — technical capability alone, regardless of whether anyone deploys it.

Augmentation — how much AI assists without replacing. High here + moderate substitution = a changing job, not a disappearing one.

Tasks on the substitution scale

17 rated tasks, binned by substitution score.

Position among all scored occupations

Distribution of 923 occupation scores; the marker is this occupation.

Tasks with substitution ≥ 70

0%

Run 1.0.0-draft.1 · computed 2026-08-05 · rater panel: claude-sonnet-5, claude-haiku-4-5-20251001 · intervals span rater disagreement.

Why this score

The five weighted dimensions of the composite, averaged across this occupation's tasks (importance-weighted, panel mean). Exact weights and formulas: /api/v1/methodology.

Task automatabilityw 35%23

panel mean rating 1.9/5 → substitution pressure 23/100

Technical feasibility todayw 20%19

panel mean rating 1.7/5 → substitution pressure 19/100

Cost vs. human wagew 15%21

panel mean rating 1.8/5 → substitution pressure 21/100

Adoption barriersw 20%inverted — strong barriers lower the score23

panel mean rating 4.1/5 (barrier strength) → substitution pressure 23/100

Sector adoption velocityw 10%22

panel mean rating 1.9/5 → substitution pressure 22/100

Task breakdown (17 tasks)

Substitution pressure per task, weighted by O*NET importance in the composite. Expand a task for the full rater audit trail — every rating, every model, every rationale.

Complete and maintain necessary records.

60

CI 57–62 · exposure 66 · augmentation 88 · importance 4.7/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510013/5Healthcare organizations are piloting AI documentation tools, but adoption is still in the middling phase—many systems lack seamless EHR integration and clinical buy-in varies. Production deployment is growing but remains uneven, especially in smaller or non-hospital settings.
Sector adoption velocityclaude-sonnet-53/5Healthcare documentation AI is spreading via EHR-integrated tools, but allied health fields like occupational therapy lag behind physician-focused adoption, so uptake is moderate and uneven.
Augmentation potentialclaude-haiku-4-5-202510014/5AI documentation assistants substantially augment therapist productivity by auto-populating routine sections, suggesting language for progress notes, and flagging missing required fields, allowing the therapist to focus on clinical reasoning and sign-off. This is already in use and raises output quality and speed.
Augmentation potentialclaude-sonnet-55/5AI ambient documentation and note-drafting tools substantially speed up record-keeping while the therapist retains responsibility for reviewing and finalizing entries.
Task automatabilityclaude-haiku-4-5-202510014/5Record completion involves largely standardized documentation (patient demographics, assessment scores, treatment plans, progress notes) that current AI systems can substantially automate through natural language processing and structured data entry, achieving >50% time savings. However, clinical judgment embedded in some notes and signature requirements may require human oversight, preventing a full 5 rating.
Task automatabilityclaude-sonnet-54/5Documentation such as SOAP notes, progress notes, and treatment summaries can largely be generated by AI from dictation or session data, meeting the ≥50% time-saving bar for drafting, though final review is needed.
Adoption barriersclaude-haiku-4-5-202510014/5Occupational therapists operate under licensure requirements and have legal/regulatory responsibility for the accuracy and completeness of medical records; liability and error-cost asymmetry are high. While records can be partially automated, a licensed therapist must review, validate, and sign off, creating a hard procedural barrier.
Adoption barriersclaude-sonnet-53/5Clinical records must be accurate, compliant with HIPAA and billing/insurance requirements, and ultimately signed off by the licensed therapist, creating moderate liability and regulatory friction.
Cost vs. human wageclaude-haiku-4-5-202510014/5AI-driven documentation tools cost far less per record than the therapist time they displace; inference and integration of scribe-like systems run at a fraction of loaded therapist wages, typically making automation 5-10× cheaper when scaled.
Cost vs. human wageclaude-sonnet-54/5AI-assisted documentation tools cost a small fraction of a therapist's hourly wage for the time spent on notes, though integration and review add some cost.
Technical feasibility todayclaude-haiku-4-5-202510013/5EHR-integrated AI documentation tools exist and see deployment in healthcare (e.g., note generation assistants), but error rates in clinical accuracy, regulatory compliance variance, and integration friction across different EHR systems mean they are not yet mature at scale. Products show promise but require material human review.
Technical feasibility todayclaude-sonnet-53/5AI scribe and documentation tools are deployed in healthcare settings including some rehab/therapy practices, but adoption in occupational therapy specifically is narrower than in physician documentation, and accuracy still requires clinician verification.

Conduct research in occupational therapy.

34

CI 25–44 · exposure 38 · augmentation 75 · importance 3.8/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510012/5Occupational therapy is a human-focused clinical discipline with slower digitization and adoption of research automation compared to finance or tech sectors. University and research institution adoption of AI research tools is emerging but remains pilot-stage rather than production-scale deployment.
Sector adoption velocityclaude-sonnet-52/5Healthcare and academic research sectors have been slower to adopt AI deeply into research workflows compared to fields like finance or software, though AI-assisted literature review tools are gaining some traction.
Augmentation potentialclaude-haiku-4-5-202510014/5AI significantly augments occupational therapists' research productivity through automated literature synthesis, data analysis, figure generation, and manuscript preparation, substantially accelerating research workflows while the therapist-researcher remains in control of critical decisions and study direction.
Augmentation potentialclaude-sonnet-54/5AI substantially aids literature searches, drafting, statistical analysis, and summarizing findings, meaningfully boosting researcher productivity while humans retain control over study design and interpretation.
Task automatabilityclaude-haiku-4-5-202510013/5AI can assist significantly with literature reviews, data synthesis, statistical analysis, and manuscript drafting, achieving meaningful time savings on research design and analysis components. However, the creative hypothesis generation, experimental design decisions, and human-subject recruitment/interaction elements require occupational therapist expertise and clinical judgment, preventing full end-to-end automation.
Task automatabilityclaude-sonnet-52/5AI can assist with literature review, data analysis, and drafting portions of research, but designing studies, collecting clinical data, and interpreting findings in context require human expertise and judgment that current systems cannot fully replace end-to-end.
Adoption barriersclaude-haiku-4-5-202510014/5Occupational therapy research involving human subjects requires IRB approval, researcher credentials, and regulatory compliance that mandate human responsibility and sign-off. Additionally, clinical judgment and ethical decision-making in study design create substantial organizational and liability barriers to full automation.
Adoption barriersclaude-sonnet-53/5Research involving human subjects requires IRB approval, ethical oversight, and often licensed professional involvement, creating moderate structural barriers to full automation.
Cost vs. human wageclaude-haiku-4-5-202510012/5While AI reduces per-task costs for literature review and statistical analysis, occupational therapy research involves specialized expertise, IRB coordination, and clinical population access that cannot be fully substituted. Total all-in cost remains comparable to or slightly below human researcher cost when integration and oversight are included.
Cost vs. human wageclaude-sonnet-52/5AI tools can reduce costs for literature synthesis and statistical analysis, but human researchers still must design studies, run trials, interpret results, and ensure validity, keeping overall cost comparable to or only modestly cheaper than human-led research.
Technical feasibility todayclaude-haiku-4-5-202510013/5AI tools exist for literature searching, data analysis, and writing assistance with demonstrated use in academic contexts, but deployed systems have limitations in domain-specific methodological guidance and clinical relevance assessment. Production-grade research automation for occupational therapy specifically remains narrow and requires substantial human oversight.
Technical feasibility todayclaude-sonnet-52/5AI research assistants and literature-review tools exist and are used in academic settings, but no deployed product independently conducts occupational therapy research reliably at scale.

Lay out materials such as puzzles, scissors and eating utensils for use in therapy, and clean and repair these tools after therapy sessions.

30

CI 10–50 · exposure 28 · augmentation 13 · importance 4.3/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510011/5Occupational therapy is delivered in small clinics, hospitals, and schools—fragmented, lower-digitization settings. Adoption of specialized robotic or agent-based material management is laggard; few real-world deployments exist. The sector is not characterized by rapid AI adoption.
Sector adoption velocityclaude-sonnet-51/5Healthcare and physical therapy support tasks show very low AI/robotics adoption for menial physical prep and maintenance work.
Augmentation potentialclaude-haiku-4-5-202510012/5AI assistance on this task is limited. Inventory tracking and scheduling tools could support planning, but the hands-on work of laying out materials and cleaning offers minimal augmentation opportunity; a human therapist's time is better spent on patient interaction than AI-assisted setup.
Augmentation potentialclaude-sonnet-51/5AI offers essentially no assistance for physically laying out, cleaning, or repairing tactile therapy materials.
Task automatabilityclaude-haiku-4-5-202510014/5Laying out and organizing materials for therapy (sorting, arranging, positioning) and post-session cleaning are largely procedural, repetitive tasks that could be automated by robotic systems or mobile agents. Robotic arms can pick, place, and organize items; cleaning/sanitizing can be systematized. This achieves >50% time savings with robotic or agent-based automation, though minor human oversight for material safety and therapy readiness may remain.
Task automatabilityclaude-sonnet-51/5This requires physical manipulation of objects in a real clinical space, which current AI systems cannot perform without robotics far beyond deployed capability.
Adoption barriersclaude-haiku-4-5-202510013/5Infection control and material safety standards in healthcare settings create some regulatory and oversight friction. However, there is no strict licensing requirement preventing automation; clinics and therapists have organizational discretion. Patient comfort and therapy flow preferences may also slow adoption, but do not constitute hard legal barriers.
Adoption barriersclaude-sonnet-52/5No licensing requirement specifically governs who lays out or cleans tools, but the task is embedded in a clinical workflow where physical presence and hygiene protocols create practical friction.
Cost vs. human wageclaude-haiku-4-5-202510012/5Current robotic systems capable of safe material handling, cleaning, and sanitization carry significant capital and maintenance costs. For a task typically performed by lower-wage support staff or therapists themselves, the all-in cost (equipment, integration, oversight) likely exceeds the loaded wage of the human labor it would replace.
Cost vs. human wageclaude-sonnet-51/5There is no viable AI substitute for this physical task, so any AI-based approach (e.g., robotics) would be far more expensive than a human aide performing it.
Technical feasibility todayclaude-haiku-4-5-202510012/5While prototype robotic systems and inventory-management agents exist in lab settings, no mature, widely deployed product reliably performs end-to-end material setup and post-therapy cleaning in actual occupational therapy clinics at scale. Integration would require custom setups and error rates remain non-trivial in dynamic clinic environments.
Technical feasibility todayclaude-sonnet-51/5No deployed product performs physical setup, cleaning, or repair of therapy materials in occupational therapy settings today.

Help clients improve decision making, abstract reasoning, memory, sequencing, coordination, and perceptual skills, using computer programs.

28

CI 25–31 · exposure 25 · augmentation 75 · importance 3.9/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510013/5Some healthcare and rehabilitation settings have incorporated computerized cognitive training as an adjunct, but adoption remains mixed and often limited to larger, digitally mature organizations. Widespread displacement by fully autonomous AI-driven therapy is not evident in practice data; most remain pilot or supplementary use.
Sector adoption velocityclaude-sonnet-52/5Healthcare and rehabilitation services adopt digital tools slowly due to regulatory, clinical validation, and reimbursement constraints, with pilots more common than widespread deployment.
Augmentation potentialclaude-haiku-4-5-202510014/5AI-powered cognitive training software can significantly assist therapists by automating exercise delivery, tracking performance metrics, and suggesting performance-based adaptations, allowing the therapist to focus on assessment, motivation, and clinical oversight. This augmentation is well-established and widely valued in practice.
Augmentation potentialclaude-sonnet-54/5Computer-based cognitive training programs meaningfully help therapists deliver more consistent, varied, and measurable exercises, enhancing therapy sessions while the therapist directs treatment.
Task automatabilityclaude-haiku-4-5-202510012/5While AI can deliver certain cognitive exercises and games, the core task requires dynamic assessment of individual client deficits, real-time adaptation to client performance, and therapeutic judgment about which skill interventions suit each person. Current AI lacks reliable one-to-one therapeutic responsiveness and cannot fully replace the therapist's clinical decision-making in selecting and sequencing interventions.
Task automatabilityclaude-sonnet-52/5AI can generate or run cognitive training exercises, but delivering therapy requires real-time clinical judgment, physical presence, and adaptive interpersonal interaction that current systems cannot fully replicate end-to-end.
Adoption barriersclaude-haiku-4-5-202510014/5Occupational therapy is a regulated healthcare profession in most jurisdictions; state licensure boards often require a licensed OT to assess clients, design interventions, and document outcomes. Using computers for delivery is permitted, but clinical responsibility for therapeutic appropriateness remains with the licensed professional, creating a hard barrier to full substitution.
Adoption barriersclaude-sonnet-54/5OT is a licensed profession requiring clinical judgment and accountability for patient outcomes, and reimbursement/regulatory frameworks require licensed practitioner involvement.
Cost vs. human wageclaude-haiku-4-5-202510013/5Cognitive training software is inexpensive to deploy per user-session, but occupational therapists command moderate wages; the all-in cost of an AI system (software licensing, integration, oversight, and therapist time for assessment and adjustment) is roughly comparable to direct therapist-delivered instruction on a per-client basis.
Cost vs. human wageclaude-sonnet-52/5Software licenses are cheap, but the therapist's clinical oversight, assessment, and hands-on adaptation remain necessary, keeping overall cost savings modest.
Technical feasibility todayclaude-haiku-4-5-202510012/5Commercial cognitive training software exists and some platforms incorporate adaptive algorithms, but these are typically delivered as standalone tools, not as therapist-led interventions with the assessment and personalization this task demands. No deployed product reliably performs the full therapeutic workflow—assessment, selection, adaptation, and clinical judgment—autonomously.
Technical feasibility todayclaude-sonnet-52/5Computerized cognitive rehab software exists and is used clinically, but as adjunct tools under therapist supervision rather than autonomous replacements for the therapist's role.

Evaluate patients' progress and prepare reports that detail progress.

25

CI 25–25 · exposure 25 · augmentation 63 · importance 4.5/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510012/5Healthcare sectors show moderate AI adoption in administrative tasks and documentation support, but clinical evaluation and progress assessment remain tightly guarded by professional standards and regulatory requirements. Production adoption of AI for this specific clinical judgment task is still limited.
Sector adoption velocityclaude-sonnet-52/5Healthcare, especially allied health/rehabilitation therapy, has been a slower adopter of AI tools compared to information/finance sectors, with pilots more common than full production deployment.
Augmentation potentialclaude-haiku-4-5-202510013/5AI can meaningfully assist by organizing patient data, flagging trends in assessment scores, suggesting report structures, and generating draft language, thereby reducing time spent on administrative formatting. However, the core clinical interpretation remains the therapist's responsibility, making assistance partial rather than transformative.
Augmentation potentialclaude-sonnet-54/5AI can meaningfully assist by drafting report language, summarizing session notes, and structuring progress documentation, saving clinicians time while they retain responsibility for clinical assessment.
Task automatabilityclaude-haiku-4-5-202510012/5AI can assist with data aggregation and report drafting from structured assessments, but evaluating patient progress requires clinical judgment, contextual understanding of individual recovery trajectories, and holistic patient assessment that current systems cannot reliably perform end-to-end. The task remains fundamentally dependent on human clinician expertise.
Task automatabilityclaude-sonnet-52/5Generating clinical progress reports requires clinical judgment based on hands-on observation of patient function, which AI cannot independently perform; AI can assist with drafting/summarizing but not fully replace the evaluation itself.
Adoption barriersclaude-haiku-4-5-202510014/5Occupational therapist licensure and scope-of-practice laws require a licensed OT to perform clinical evaluations and sign off on progress reports. Liability and accountability for clinical judgments rest with the licensed professional, creating a hard legal barrier to full automation of this task.
Adoption barriersclaude-sonnet-54/5Licensed OTs are legally required to perform and sign off on patient evaluations and progress documentation for reimbursement and regulatory compliance, creating strong professional/liability barriers.
Cost vs. human wageclaude-haiku-4-5-202510012/5AI-assisted documentation tools reduce some administrative time, but the cost of integration, oversight, and liability remains substantial relative to labor savings. The clinical evaluation itself still requires a licensed therapist, so human labor costs are not displaced substantially.
Cost vs. human wageclaude-sonnet-52/5AI documentation tools reduce writing time modestly, but the clinician's hands-on evaluation and judgment remain the dominant cost driver, limiting overall savings versus human-only workflow.
Technical feasibility todayclaude-haiku-4-5-202510012/5While AI tools exist for basic documentation and data organization, no deployed systems reliably evaluate occupational therapy progress independently. Products may assist with note generation from templates or data extraction, but the core clinical evaluation function—determining meaningful functional gains and their significance—requires human therapist expertise and is not demonstrated at scale in production.
Technical feasibility todayclaude-sonnet-52/5AI scribes and note-drafting tools exist in healthcare but are used as documentation aids, not as autonomous evaluators of patient progress; no product independently performs clinical assessment reliably in production.

Design and create, or requisition, special supplies and equipment, such as splints, braces, and computer-aided adaptive equipment.

25

CI 25–25 · exposure 25 · augmentation 50 · importance 4.2/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510012/5Occupational therapy remains a human-centered, low-digitization sector with strong in-person patient interaction requirements. Adoption of AI-assisted design tools is emerging slowly in larger healthcare systems but remains uncommon in typical occupational therapy practice.
Sector adoption velocityclaude-sonnet-52/5Healthcare and allied health fields adopt AI tools slowly due to regulatory, safety, and reimbursement constraints, with physical equipment design lagging behind digital-only domains.
Augmentation potentialclaude-haiku-4-5-202510013/5AI can usefully assist by generating design variations, optimizing CAD models for 3D printing, suggesting material properties, and streamlining equipment specification—raising therapist productivity in the design phase while the therapist retains full clinical decision-making authority.
Augmentation potentialclaude-sonnet-53/5AI-assisted CAD tools, 3D modeling, and adaptive equipment design software can meaningfully speed up prototyping and customization while therapists retain full clinical control.
Task automatabilityclaude-haiku-4-5-202510012/5While AI can assist in design optimization and equipment specification, the task requires judgment about patient-specific needs, biomechanical constraints, and material selection that demands human clinical expertise. End-to-end automation would struggle with the iterative, patient-centered design process and the need to requisition from suppliers with variable inventory and lead times.
Task automatabilityclaude-sonnet-52/5AI can assist with CAD design or 3D-printing templates for splints/braces, but clinical assessment, custom fitting, and material selection require hands-on human judgment that current systems cannot replace end-to-end.
Adoption barriersclaude-haiku-4-5-202510014/5Strong barriers exist because equipment design must be signed off by a licensed occupational therapist for medical and liability reasons, and patient-specific customization requires direct professional judgment. Regulatory compliance and the requirement for human clinical sign-off on adaptive equipment prevent full substitution.
Adoption barriersclaude-sonnet-54/5Requisitioning and fitting adaptive equipment often requires licensed OT judgment, liability considerations for patient safety, and regulatory/insurance requirements tied to a credentialed provider.
Cost vs. human wageclaude-haiku-4-5-202510012/5AI-assisted design tools are available but still require significant occupational therapist time for customization, safety validation, and supplier management. The cost of the AI system, integration, and human oversight combined approaches or exceeds the direct labor cost for specialized design work.
Cost vs. human wageclaude-sonnet-52/5Design software and 3D printing can reduce some labor costs, but fabrication, fitting, and clinical customization still require expensive human expertise and physical materials, keeping overall costs comparable to human-only workflows.
Technical feasibility todayclaude-haiku-4-5-202510012/5No mature product reliably performs the full task in production. AI design tools exist for generic orthotic modeling and CAD assistance, but clinical-grade adaptive equipment design requires occupational therapist oversight due to liability, individual patient anatomy, and the need for iterative refinement based on patient feedback.
Technical feasibility todayclaude-sonnet-52/5Some 3D-printing/CAD design tools exist for orthotics but they are narrow, require clinician oversight, and are not broadly deployed as autonomous solutions across OT practice.

Test and evaluate patients' physical and mental abilities and analyze medical data to determine realistic rehabilitation goals for patients.

23

CI 20–25 · exposure 25 · augmentation 50 · importance 4.8/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510012/5Healthcare adoption of clinical AI automation remains cautious and slow, particularly in rehabilitation services where human judgment is deeply embedded in patient care. Most adoption is in documentation and data analysis support rather than autonomous clinical decision-making.
Sector adoption velocityclaude-sonnet-52/5Healthcare, especially hands-on rehabilitation therapy, is a slower-adopting sector for AI displacement, though administrative and documentation tools are being piloted.
Augmentation potentialclaude-haiku-4-5-202510013/5AI can meaningfully assist occupational therapists by organizing and highlighting patterns in medical data, supporting evidence synthesis, and flagging relevant functional impairments, thereby streamlining data review and documentation to support human clinical reasoning and goal-setting.
Augmentation potentialclaude-sonnet-53/5AI can help synthesize medical records, suggest standardized assessment interpretations, and support documentation, meaningfully aiding therapists without replacing their direct evaluative role.
Task automatabilityclaude-haiku-4-5-202510012/5While AI can assist with analyzing medical data and extracting patterns, the core task requires clinical judgment, patient interaction, and synthesis of complex biopsychosocial factors that current AI systems cannot reliably perform end-to-end. Determining realistic rehabilitation goals demands understanding patient motivation, contextual constraints, and adaptive capacity that remains heavily dependent on human assessment.
Task automatabilityclaude-sonnet-52/5AI can assist in analyzing medical data and standardized assessment scores, but hands-on physical/functional testing and clinical judgment about realistic goals require in-person human evaluation and rapport that current AI cannot replicate end-to-end.atal
Adoption barriersclaude-haiku-4-5-202510014/5Occupational therapists must be licensed professionals, and rehabilitation goal-setting involves legal and ethical accountability for clinical decisions. Liability and the requirement for a licensed practitioner's direct judgment and sign-off present substantial regulatory barriers to full automation.
Adoption barriersclaude-sonnet-55/5Occupational therapy evaluation and goal-setting is a licensed clinical act requiring in-person patient contact, professional judgment, and legal accountability, creating strong regulatory and liability barriers.
Cost vs. human wageclaude-haiku-4-5-202510012/5The oversight, validation, and integration costs of AI systems supporting this task are substantial relative to the labor savings, and AI cannot yet replace the clinical reasoning entirely, making the all-in cost per patient assessment still comparable to or higher than direct occupational therapist time.
Cost vs. human wageclaude-sonnet-52/5AI can cheaply process data but cannot replace the licensed clinician's hands-on evaluation, so the overall cost of the task is still dominated by required human labor.
Technical feasibility todayclaude-haiku-4-5-202510012/5No deployed clinical product reliably performs comprehensive physical and mental ability testing or goal-setting in occupational therapy at scale. AI can support data analysis and documentation, but clinical evaluation tools remain research-stage or require heavy human oversight to validate findings.
Technical feasibility todayclaude-sonnet-52/5Some clinical decision-support tools exist for data analysis and documentation, but no deployed product independently performs patient physical/mental ability testing or sets rehabilitation goals reliably in production.

Recommend changes in patients' work or living environments, consistent with their needs and capabilities.

19

CI 14–25 · exposure 20 · augmentation 50 · importance 4.1/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510011/5Healthcare, especially rehabilitation and occupational therapy, has lagged in AI adoption; clinical decision-making in this domain remains heavily human-centric, with minimal evidence of AI agents being deployed for autonomous environmental recommendations at scale.
Sector adoption velocityclaude-sonnet-52/5Healthcare and allied health professions, especially home-based and physical care, show slower AI adoption than office-based professional services, with pilots more common than production deployment.
Augmentation potentialclaude-haiku-4-5-202510013/5AI could meaningfully assist therapists by retrieving relevant accessibility literature, flagging common environmental hazards, or organizing patient-specific data, thereby augmenting their analysis—though the core synthesis and final recommendation remains the therapist's responsibility.
Augmentation potentialclaude-sonnet-53/5AI can help OTs draft reports, generate lists of adaptive equipment or environmental modification options, and summarize patient history, providing moderate productivity assistance while the clinician retains judgment and interaction.
Task automatabilityclaude-haiku-4-5-202510012/5While AI can process general environmental assessment data and suggest common modifications, this task critically depends on individualized clinical judgment about a specific patient's physical/cognitive capabilities, their goals, and complex environmental trade-offs—factors that require nuanced understanding of the whole person that current AI systems cannot reliably synthesize at equal quality.
Task automatabilityclaude-sonnet-52/5This requires in-person or detailed contextual assessment of a patient's functional capabilities, home/work environment, and clinical judgment integrating multiple domains; AI can assist with drafting recommendations but cannot perform the assessment or judgment end-to-end.
Adoption barriersclaude-haiku-4-5-202510014/5Occupational therapists are licensed professionals whose recommendations carry liability and scope-of-practice constraints; recommendations must be grounded in professional clinical judgment and are often documented as part of medical records, creating regulatory and medicolegal barriers to full automation.
Adoption barriersclaude-sonnet-54/5OT recommendations often carry licensure requirements, insurance/reimbursement documentation standards, and liability for patient safety in home modifications, creating strong barriers to full automation.
Cost vs. human wageclaude-haiku-4-5-202510011/5AI systems capable of this task at acceptable clinical quality do not yet exist at scale, making cost comparison premature; human occupational therapists remain the standard, and any AI-assisted approach still requires substantial therapist oversight and validation.
Cost vs. human wageclaude-sonnet-52/5AI could cheaply generate generic environmental modification checklists, but the clinical evaluation and liability-bearing recommendation still requires a licensed OT, keeping overall cost comparable to or only marginally cheaper than human-only workflows.
Technical feasibility todayclaude-haiku-4-5-202510012/5No deployed product reliably performs end-to-end environmental recommendations for occupational therapy patients; some AI tools can assist with literature on accessibility modifications, but clinical decision-making and patient-specific customization remain overwhelmingly human-dependent in practice.
Technical feasibility todayclaude-sonnet-51/5No deployed product autonomously conducts environmental/home assessments and generates clinically valid, patient-specific modification recommendations; this remains a human clinical task with AI only as a documentation aid.

Train caregivers in providing for the needs of a patient during and after therapy.

18

CI 11–25 · exposure 13 · augmentation 50 · importance 4.5/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510012/5Healthcare and rehabilitation sectors show slower AI adoption in clinical tasks that require licensure and direct patient/caregiver contact; adoption of AI for caregiver training remains minimal in production settings.
Sector adoption velocityclaude-sonnet-52/5Healthcare and allied health professions adopt AI slowly for hands-on clinical training tasks, with adoption concentrated in administrative/documentation areas rather than caregiver instruction.
Augmentation potentialclaude-haiku-4-5-202510013/5AI can assist by generating training outlines, creating educational videos, or drafting instructional materials that occupational therapists review and personalize, moderately raising productivity in content preparation while the therapist retains responsibility for direct instruction and validation.
Augmentation potentialclaude-sonnet-53/5AI can generate educational materials, videos, and reminder systems to support caregiver training, meaningfully aiding the therapist without replacing the personalized instructional interaction.
Task automatabilityclaude-haiku-4-5-202510012/5Training caregivers requires real-time adaptation to individual patient needs, demonstration of physical techniques, and interpersonal communication—elements where current AI systems struggle to replace human instruction end-to-end. While AI could generate training materials or scripts, the hands-on coaching and feedback loop essential to effective caregiver training cannot be reliably automated to achieve 50% time savings at equal quality.
Task automatabilityclaude-sonnet-51/5Training caregivers requires live demonstration, hands-on technique correction, and adaptive communication based on the specific patient's physical/cognitive condition, which current AI cannot perform end-to-end.
Adoption barriersclaude-haiku-4-5-202510014/5Occupational therapist licensure and scope of practice typically require a licensed professional to evaluate patient needs and oversee caregiver training; liability concerns around incorrect technique training create strong legal and professional barriers to full automation.
Adoption barriersclaude-sonnet-54/5Clinical liability, licensure requirements for therapy guidance, and the need for hands-on skill verification create strong barriers against full automation.
Cost vs. human wageclaude-haiku-4-5-202510012/5The cost of integrating AI systems to generate training materials plus human oversight would likely approach or exceed the cost of a therapist or trained instructor conducting the training directly, especially when factoring in liability and customization.
Cost vs. human wageclaude-sonnet-52/5AI could supplement written instructions or videos cheaply, but the core supervised, interactive training still requires a licensed therapist's time, keeping costs comparable to human delivery.
Technical feasibility todayclaude-haiku-4-5-202510012/5No deployed product reliably trains caregivers in patient care techniques in production environments; existing systems can only assist with static content generation or video tutorials, not the dynamic, corrective instruction needed for safe hands-on care training.
Technical feasibility todayclaude-sonnet-51/5No deployed product conducts caregiver training for personalized therapeutic care; this remains a clinician-delivered, in-person or telehealth-supervised activity.

Advise on health risks in the workplace or on health-related transition to retirement.

17

CI 9–25 · exposure 20 · augmentation 50 · importance 3.5/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510011/5Healthcare and occupational therapy remain relatively laggard in AI automation, with human licensure and liability concerns driving slow adoption of AI for clinical advisory tasks. Current sector behavior shows AI in supportive (documentation, triage) roles, not autonomous health advice.
Sector adoption velocityclaude-sonnet-52/5Healthcare and allied health professions adopt AI more slowly than tech/finance sectors, especially for advisory tasks involving individualized clinical judgment and regulatory oversight.
Augmentation potentialclaude-haiku-4-5-202510013/5AI can assist occupational therapists by generating preliminary workplace risk analyses, retrieving retirement health guidelines, or summarizing relevant literature—useful back-office support—but the therapist must perform the final clinical judgment and personalized counseling.
Augmentation potentialclaude-sonnet-53/5AI tools can help OTs research ergonomic guidelines, draft reports, and organize retirement transition resources, meaningfully aiding but not replacing the advisory relationship.
Task automatabilityclaude-haiku-4-5-202510012/5While AI can generate generic health risk assessments and retirement transition information, this task requires individualized clinical judgment, knowledge of the specific workplace context, and personalized health counseling—core elements that current systems cannot reliably perform end-to-end to meet the 50% time-saving bar with equal quality.
Task automatabilityclaude-sonnet-52/5This requires site-specific assessment, client-specific health context, and nuanced professional judgment that current AI cannot autonomously replicate end-to-end; AI can support research and drafting but not the core advisory judgment.rt
Adoption barriersclaude-haiku-4-5-202510015/5Occupational therapists are licensed professionals whose advice carries legal and clinical liability; many jurisdictions require a licensed OT to conduct occupational assessments and provide health/wellness counseling. Regulatory and liability frameworks strongly protect human performance of this task.
Adoption barriersclaude-sonnet-54/5Occupational therapy is a licensed profession with liability, ethical, and often insurance/regulatory requirements for professional judgment and sign-off, creating strong barriers to full automation.
Cost vs. human wageclaude-haiku-4-5-202510011/5AI systems cannot yet replace the specialized expertise and accountability occupational therapists bring; integration and oversight costs would likely exceed the value of generic health/retirement information generation, making AI more expensive than a human therapist for this task.
Cost vs. human wageclaude-sonnet-52/5Human OT expertise, licensure, and personalized in-person assessment remain necessary, so AI can only reduce some prep/documentation costs, not replace the billable clinical service.
Technical feasibility todayclaude-haiku-4-5-202510012/5No deployed occupational therapy product reliably performs independent health risk advisory or retirement counseling at clinical standard. Chatbots can provide general information, but they lack the occupational therapist's licensure-backed judgment and inability to conduct proper occupational assessments.
Technical feasibility todayclaude-sonnet-51/5No deployed product performs workplace health-risk or retirement transition advising as occupational therapists do; this remains outside current production AI use cases in this professional context.

Develop and participate in health promotion programs, group activities, or discussions to promote client health, facilitate social adjustment, alleviate stress, and prevent physical or mental disability.

15

CI 5–25 · exposure 13 · augmentation 50 · importance 3.9/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510011/5Healthcare settings, particularly occupational therapy, are organizationally conservative and heavily regulated. Adoption of AI for autonomous health promotion programming is minimal; most pilots remain in the design or content-support phase, not in displacement of the therapist's facilitation role.
Sector adoption velocityclaude-sonnet-52/5Healthcare and allied health fields adopt AI unevenly and cautiously, especially for hands-on therapeutic and psychosocial interventions, with slow penetration into direct client-facing group therapy work.
Augmentation potentialclaude-haiku-4-5-202510013/5AI can meaningfully assist by drafting activity curricula, suggesting evidence-based interventions, or generating discussion prompts tailored to client cohorts, raising therapist productivity in program design. However, the human therapist remains essential for real-time facilitation, so augmentation is substantial but bounded.
Augmentation potentialclaude-sonnet-53/5AI can help therapists design program content, generate discussion prompts, or suggest activity structures, but the actual facilitation and adaptation to client dynamics remains human-driven.
Task automatabilityclaude-haiku-4-5-202510012/5While AI can generate program content, discussion prompts, or activity plans, the core task requires real-time interpersonal facilitation, emotional attunement, and adaptive responsiveness to client needs that current AI cannot reliably deliver. Program design is partially automatable; live facilitation is not.
Task automatabilityclaude-sonnet-51/5This requires live facilitation, in-person social interaction, and clinical judgment about client needs that current AI cannot perform end-to-end; AI cannot physically run group activities or build therapeutic rapport.
Adoption barriersclaude-haiku-4-5-202510014/5Occupational therapists must be licensed and the clinical decision-making, group facilitation, and therapeutic relationship are central to the task and legally/ethically require human judgment. Clients typically seek and expect human-led therapeutic programming; regulatory oversight of group therapy and wellness programs creates material friction against full automation.
Adoption barriersclaude-sonnet-54/5Occupational therapy involves licensure requirements and liability for client care decisions, and human presence/interaction is central to social adjustment and disability prevention goals, creating strong professional and regulatory barriers.
Cost vs. human wageclaude-haiku-4-5-202510012/5AI-generated content or discussion frameworks are inexpensive, but the human therapist must still lead and facilitate the program. The labor cost of the occupational therapist remains the dominant factor, and AI does not reduce total delivery cost meaningfully since the human cannot be removed.
Cost vs. human wageclaude-sonnet-51/5Since AI cannot substitute for the in-person facilitation and clinical judgment involved, the human remains necessary, making AI substitution cost irrelevant or more expensive when factoring in required oversight.
Technical feasibility todayclaude-haiku-4-5-202510012/5No deployed product reliably conducts health promotion groups or facilitates social adjustment discussions in clinical settings. AI can draft materials or suggest activities, but existing products lack the clinical judgment, cultural sensitivity, and real-time adaptation required for this therapeutic function at scale.
Technical feasibility todayclaude-sonnet-51/5No deployed product autonomously develops and delivers group health promotion or therapeutic activities for OT clients in real clinical settings today.

Provide patients with assistance in locating or holding jobs.

15

CI 5–25 · exposure 13 · augmentation 63 · importance 2.7/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510012/5Healthcare and occupational therapy are moderately digitized but adoption of autonomous job-placement AI is still in pilot phase; therapists and employers remain cautious about delegating vocational judgment to unproven systems.
Sector adoption velocityclaude-sonnet-51/5Healthcare and vocational rehabilitation services adopt AI slowly, especially for hands-on, relationship-based interventions like job placement support.
Augmentation potentialclaude-haiku-4-5-202510014/5AI can substantially assist by identifying job matches, drafting accommodation requests, and preparing interview materials, allowing therapists to focus on clinical assessment and relationship-building with patients.
Augmentation potentialclaude-sonnet-53/5AI tools could help therapists search job listings, draft resumes, or match patient skills to job requirements, offering moderate assistance to parts of the task.
Task automatabilityclaude-haiku-4-5-202510012/5While AI can help with resume writing, job matching, and interview prep, occupational therapists must assess individual functional capacity, ergonomic fit, and emotional readiness—requiring nuanced understanding of the patient's capabilities and workplace demands that current AI cannot reliably do end-to-end.
Task automatabilityclaude-sonnet-51/5This involves in-person coaching, relationship-building with employers, and personalized job coaching that requires physical presence and human judgment, none of which current AI can perform end-to-end.
Adoption barriersclaude-haiku-4-5-202510014/5Occupational therapy licensure requirements mean only licensed therapists can legally perform clinical work capacity evaluations and recommend accommodations; the task involves medical judgment and documented professional liability.
Adoption barriersclaude-sonnet-54/5This is typically performed by licensed occupational therapists as part of clinical treatment plans, often requiring credentialing, liability coverage, and in-person interaction with patients and employers.
Cost vs. human wageclaude-haiku-4-5-202510012/5AI job-matching and resume tools are cheap, but the loaded cost of a deployed system with oversight, quality assurance, and liability still approaches or exceeds the cost of a therapist's time spent on this narrowly scoped task.
Cost vs. human wageclaude-sonnet-51/5AI cannot substitute for the human labor involved (site visits, employer negotiation, hands-on coaching), so there is no viable AI cost comparison—human labor is the only option.
Technical feasibility todayclaude-haiku-4-5-202510012/5Job coaching and placement tools exist (some AI-assisted), but no deployed system reliably performs the full clinical assessment-to-placement workflow that an occupational therapist does, which integrates medical, psychological, and workplace factors.
Technical feasibility todayclaude-sonnet-51/5No deployed AI product performs vocational placement and on-the-job support for patients with disabilities; this remains a human-delivered clinical/social service.

Plan and implement programs and social activities to help patients learn work or school skills and adjust to handicaps.

14

CI 3–25 · exposure 13 · augmentation 63 · importance 4.5/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510012/5Healthcare and therapeutic services, especially those requiring patient contact and individualized clinical judgment, have lagged in AI adoption; most OT practices remain human-centered with only modest uptake of digital tools for scheduling or documentation.
Sector adoption velocityclaude-sonnet-52/5Healthcare and allied health fields adopt AI slowly for hands-on clinical care, with adoption concentrated in documentation and administrative support rather than direct treatment delivery.
Augmentation potentialclaude-haiku-4-5-202510014/5AI can assist OTs significantly by suggesting evidence-based interventions, automating documentation, generating session plans, and analyzing patient progress data, freeing clinicians to focus on hands-on delivery and therapeutic relationship—a strong augmentation scenario where humans remain in control.
Augmentation potentialclaude-sonnet-53/5AI can help therapists design activity plans, generate program materials, track progress, and suggest exercises, but cannot replace the human delivery of programs and social activities.
Task automatabilityclaude-haiku-4-5-202510012/5While AI can help draft activity plans and suggest evidence-based interventions, the core work—assessing individual patient needs, implementing adaptive techniques, and adjusting programs based on real-time behavioral/emotional responses—requires human clinical judgment and interpersonal responsiveness that current AI cannot reliably replicate end-to-end.
Task automatabilityclaude-sonnet-51/5This requires hands-on assessment, relationship-building, and adaptive real-time judgment with individual patients that current AI cannot execute end-to-end.rat It is fundamentally a physical, interpersonal clinical intervention.
Adoption barriersclaude-haiku-4-5-202510014/5Occupational therapy requires a licensed professional (OTR or COTA) to evaluate, plan, and implement interventions; regulatory and liability frameworks mandate human clinical decision-making and sign-off, creating a hard legal barrier to full automation.
Adoption barriersclaude-sonnet-55/5Occupational therapy is a licensed profession with legal scope-of-practice requirements, liability concerns, and mandated human clinical judgment and physical interaction with patients.
Cost vs. human wageclaude-haiku-4-5-202510012/5The combined cost of AI systems (assessment tools, planning software, oversight by a licensed OT) plus ongoing human clinical management typically exceeds or matches the direct cost of a therapist, because clinical accountability and legal liability remain with the human provider.
Cost vs. human wageclaude-sonnet-51/5There is no viable AI substitute performing this task, so cost comparison favors the human by default since AI cannot deliver the output at all.
Technical feasibility todayclaude-haiku-4-5-202510012/5No deployed product today reliably performs full occupational therapy program planning and implementation. AI tools exist for scheduling and evidence lookups, but production systems do not independently conduct patient assessments, design personalized interventions, or manage the iterative adjustment needed for therapeutic effectiveness.
Technical feasibility todayclaude-sonnet-51/5No deployed product plans and implements therapeutic/social skill-building programs with patients autonomously; this remains far outside current AI product capability.

Select activities that will help individuals learn work and life-management skills within limits of their mental or physical capabilities.

14

CI 3–25 · exposure 13 · augmentation 50 · importance 4.5/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510012/5Healthcare and therapeutic services lag in AI adoption; regulatory conservatism and liability concerns slow deployment of automated clinical decision-making. Current adoption of AI in occupational therapy remains limited to administrative or informational tools rather than core clinical selection tasks.
Sector adoption velocityclaude-sonnet-52/5Healthcare and rehabilitative therapy sectors are slow adopters of AI for core clinical decision-making, with most AI use limited to documentation or scheduling support.
Augmentation potentialclaude-haiku-4-5-202510013/5AI could usefully assist by suggesting activity options tailored to broad capability categories or retrieving evidence-based activities matching specific diagnoses, allowing the therapist to focus on personalized matching and clinical reasoning rather than manual database searching.
Augmentation potentialclaude-sonnet-53/5AI can help therapists research activity options, access exercise databases, or draft treatment plan documentation, but the core individualized clinical selection remains human-driven.
Task automatabilityclaude-haiku-4-5-202510012/5This task requires nuanced assessment of individual capabilities, constraints, and therapeutic goals that demand clinical judgment and human interaction. While AI could assist in suggesting activities from a database, selecting appropriate activities for a specific patient's limitations and learning goals requires understanding their full context, which current systems cannot reliably do end-to-end.
Task automatabilityclaude-sonnet-51/5This requires nuanced clinical judgment about an individual patient's specific mental/physical capabilities and appropriate therapeutic activities, which cannot be executed end-to-end by AI today.
Adoption barriersclaude-haiku-4-5-202510014/5Professional licensure requires occupational therapists to exercise clinical judgment in treatment planning; liability exposure is high if AI-selected activities harm a client or fail therapeutically. Regulatory expectations and professional standards effectively require human therapist oversight and sign-off.
Adoption barriersclaude-sonnet-55/5Occupational therapy requires licensure, and treatment planning decisions carry liability that legally requires a credentialed professional's judgment and sign-off.
Cost vs. human wageclaude-haiku-4-5-202510012/5The cost of developing a reliable AI system capable of safe clinical decision-making, plus ongoing oversight to prevent harmful recommendations, would likely exceed the cost of having a therapist perform the task, especially given liability considerations.
Cost vs. human wageclaude-sonnet-51/5There is no viable AI substitute performing this clinical selection task, so cost comparison favors the human therapist entirely.
Technical feasibility todayclaude-haiku-4-5-202510012/5No deployed products reliably perform this clinical selection task independently. AI tools may help generate activity suggestions or organize databases, but occupational therapists do not routinely delegate the core selection decision to AI systems in production settings.
Technical feasibility todayclaude-sonnet-51/5No deployed product independently selects and prescribes therapeutic activities tailored to a patient's clinical profile in production settings.

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.

11

CI 3–20 · exposure 13 · augmentation 50 · importance 4.6/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510012/5Healthcare adoption of AI in clinical roles remains cautious and heavily regulated; institutional settings are typically conservative on delegating patient care decisions to automation, with adoption focused on administrative rather than clinical tasks.
Sector adoption velocityclaude-sonnet-52/5Healthcare rehabilitation settings are relatively slow to adopt AI for hands-on clinical care, with adoption concentrated in administrative and documentation support rather than treatment delivery.
Augmentation potentialclaude-haiku-4-5-202510013/5AI can usefully assist therapists with documentation, outcome measurement, research literature synthesis, and session note preparation, improving administrative efficiency while the therapist retains all clinical and interpersonal responsibilities.
Augmentation potentialclaude-sonnet-53/5AI can assist with documentation, treatment plan drafting, exercise program suggestions, and progress tracking, but the core planning and hands-on conduct of therapy remains human-driven.
Task automatabilityclaude-haiku-4-5-202510012/5While AI can assist with data gathering, documentation, and routine scheduling, the core task—planning individualized therapy programs and conducting interventions—requires ongoing clinical judgment, human interaction, and adaptive response to patient needs that current AI systems cannot perform autonomously at equivalent quality.
Task automatabilityclaude-sonnet-51/5This is a holistic clinical task requiring hands-on assessment, physical manipulation, therapeutic rapport, and adaptive judgment across diverse patient conditions—far beyond current AI capabilities to execute end-to-end.
Adoption barriersclaude-haiku-4-5-202510015/5Occupational therapists must be licensed professionals; only licensed OTs can legally design and conduct therapy programs, and liability, regulatory requirements, and the intimate nature of therapeutic patient contact create hard legal and professional barriers to automation.
Adoption barriersclaude-sonnet-55/5Occupational therapy requires state licensure, direct patient contact, physical assessment, and legal accountability for treatment plans, making unsupervised AI substitution legally and practically barred.
Cost vs. human wageclaude-haiku-4-5-202510012/5The integrated cost of AI systems, oversight, compliance infrastructure, and the need to retain occupational therapists in the clinical loop makes substitution uneconomical compared to direct human labor.
Cost vs. human wageclaude-sonnet-51/5There is no viable AI substitute performing this task, so cost comparison favors the human by default; any AI-assisted workflow still requires the full-cost licensed therapist.
Technical feasibility todayclaude-haiku-4-5-202510012/5No deployed products reliably perform occupational therapy program planning and delivery end-to-end; AI tools exist for administrative support and documentation, but clinical decision-making and patient interaction remain human-dependent in practice.
Technical feasibility todayclaude-sonnet-51/5No deployed product plans and conducts full occupational therapy programs; AI tools exist only for peripheral documentation or scheduling support, not the clinical core of the task.

Provide training and supervision in therapy techniques and objectives for students or nurses and other medical staff.

11

CI 5–16 · exposure 5 · augmentation 50 · importance 3.9/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510011/5Healthcare training and supervision remain highly human-centered; adoption of full AI supervisory systems in occupational therapy education and clinical settings is minimal. The sector prioritizes direct human mentorship and regulatory compliance over automation.
Sector adoption velocityclaude-sonnet-52/5Healthcare training and clinical education adopt AI tools slowly due to regulatory, licensing, and patient-safety concerns, with pilots more common than deployment.
Augmentation potentialclaude-haiku-4-5-202510013/5AI can assist supervisors by generating training content, organizing reference materials, and providing documentation templates, moderately enhancing productivity in preparation and administrative aspects of training. However, the core judgment and interpersonal elements remain therapist-led.
Augmentation potentialclaude-sonnet-53/5AI can help create training materials, quizzes, or simulate case studies to supplement instruction, but the core supervisory and hands-on teaching role remains human-driven.
Task automatabilityclaude-haiku-4-5-202510011/5Training and supervision require real-time interaction, assessment of trainee understanding, adaptive feedback, and interpersonal judgment that current AI cannot reliably perform end-to-end. While AI can generate training materials or suggest techniques, it cannot substitute for the full supervisory relationship and personalized coaching inherent in this task.
Task automatabilityclaude-sonnet-51/5Training and supervising others in hands-on therapy techniques requires live demonstration, physical correction, and adaptive judgment that current AI cannot perform end-to-end.dah
Adoption barriersclaude-haiku-4-5-202510014/5Licensing and accountability barriers are substantial: only qualified occupational therapists can legally supervise trainees and sign off on competence for patient safety. Regulatory bodies and professional standards require human oversight, creating legal and liability constraints on automation.
Adoption barriersclaude-sonnet-54/5Clinical supervision often requires licensed practitioners to train and sign off on competency, with liability and accreditation requirements tied to human oversight.
Cost vs. human wageclaude-haiku-4-5-202510012/5AI could reduce costs of some preparatory materials (1-2), but the core supervision task requires a licensed occupational therapist's presence and expertise. The all-in cost of AI assistance plus human oversight is likely comparable to or higher than a therapist providing training directly.
Cost vs. human wageclaude-sonnet-51/5There is no viable AI substitute performing this supervisory/training function, so cost comparison favors the human by default.
Technical feasibility todayclaude-haiku-4-5-202510012/5No deployed product reliably performs end-to-end training and supervision of therapy techniques in production settings. AI can assist with content generation and provide reference materials, but actual supervision—assessing trainee competence, providing corrective feedback, and ensuring patient safety—remains a human function.
Technical feasibility todayclaude-sonnet-51/5No deployed product substitutes for clinical supervision or in-person training of therapy techniques; this remains a research-stage aspiration at best.

Consult with rehabilitation team to select activity programs or coordinate occupational therapy with other therapeutic activities.

1

CI 0–3 · exposure 0 · augmentation 50 · importance 4.3/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510011/5Healthcare adoption of AI for autonomous clinical decision-making remains limited by regulatory oversight, liability frameworks, and the requirement for licensed human responsibility; telehealth and documentation tools see faster adoption than autonomous task substitution.
Sector adoption velocityclaude-sonnet-52/5Healthcare and rehabilitation settings show slow, cautious AI adoption for clinical decision-making and team coordination tasks, with pilots more common than production use.
Augmentation potentialclaude-haiku-4-5-202510013/5AI could assist OTs by summarizing patient data, suggesting evidence-based activity options, or organizing team communication, but the actual consultation and coordination decisions must remain with the human therapist and team.
Augmentation potentialclaude-sonnet-53/5AI can help summarize patient data, generate documentation, or suggest activity options to inform the discussion, providing moderate support without replacing the human consultative process.
Task automatabilityclaude-haiku-4-5-202510011/5This task requires collaborative decision-making with a multidisciplinary team to select personalized therapeutic interventions, demanding real-time discussion, professional judgment, and contextual understanding of individual patient needs that current AI cannot perform end-to-end.
Task automatabilityclaude-sonnet-51/5This is a collaborative clinical judgment task requiring real-time interdisciplinary discussion, patient-specific reasoning, and negotiation among professionals, which current AI cannot perform end-to-end.
Adoption barriersclaude-haiku-4-5-202510015/5Occupational therapists must hold state licensure and bear professional liability for clinical decisions; collaboration with a rehabilitation team and selection of therapeutic activities are legally and ethically the domain of licensed practitioners, not autonomous systems.
Adoption barriersclaude-sonnet-55/5Occupational therapy practice and care coordination are licensed clinical activities with legal and liability requirements mandating qualified human professionals to make and share these judgments.
Cost vs. human wageclaude-haiku-4-5-202510011/5The task requires the expertise, presence, and liability responsibility of a licensed occupational therapist, whose cost cannot be undercut by AI systems that lack clinical authority and accountability.
Cost vs. human wageclaude-sonnet-51/5There is no viable AI substitute performing this consultative coordination, so cost comparison favors the human process entirely.
Technical feasibility todayclaude-haiku-4-5-202510011/5No deployed AI product reliably performs cross-team therapeutic coordination or activity selection; this requires licensed clinical judgment, interpersonal negotiation, and accountability that exceeds current AI capabilities in production healthcare settings.
Technical feasibility todayclaude-sonnet-51/5No deployed product conducts or replaces interdisciplinary rehabilitation team consultations; this remains a human coordination process.

Related occupations — Healthcare Practitioners & Technical

How to read this

A high substitution score does not mean this job disappears — it means a large share of its current tasks face replacement pressure, so the mix of tasks is likely to change. High augmentation alongside substitution typically means the occupation reorganizes around the protected tasks. Wide confidence intervals mean the rater panel disagreed: treat those scores as open questions, not verdicts.

What would change this score

New model capabilities (automatability, feasibility), falling inference costs (cost ratio), regulation and licensing shifts (barriers), and measured sector adoption (velocity) all re-enter at every index release. Each release is recomputed, versioned and kept queryable — scores are claims with a date on them, not permanent labels.