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Occupational Therapist
Three components - Automation Resistance, Structural Moat, and Demand - add up to 89.
Replacement pressure is low because occupational therapy depends on live observation of daily function, safety, tools, environments, and caregivers. AI mainly helps with documentation, care-plan drafting, equipment lists, remote monitoring, and summaries. The evidence names splinting, adaptive equipment, caregiver training, and home safety as durable work.
observed AI exposure of 0.8% and modeled median job-loss risk of 1.32%. Both are in the lowest-risk range, and in-person functional assessment and adaptation push the score near the top.
useful support with limited worker-side capture. Note drafts, home programs, adaptive-equipment lists, remote monitoring, and school or work accommodation drafts can help, but the gain mostly sits inside employer systems.
The protection comes from accredited OT education, NBCOT certification, state licensure, and patient-specific function work in real settings. Assistive technology and robotics add options, but the therapist still adapts the tool to the person. Compact mobility improves portability without replacing the state license gate.
hands-on functional work. Exact physical-task fields were unavailable, so the score uses transfers, Activities of Daily Living (ADL) retraining, adaptive-device fitting, splinting, home and school assessment, caregiver training, and infection exposure in clinical settings.
accredited graduate education, national certification or exam pathways, and state licensure, with one point held back for state-by-state scope and entry-route variation.
highly individualized work across people, tasks, tools, caregivers, and environments. Robots and sensors may assist therapy or independence, but they do not replace OT evaluation and adaptation.
the graduate occupational therapy pathway: master's or doctoral OT program plus the National Board for Certification in Occupational Therapy (NBCOT) exam plus state licensure.
Demand is supported by schools, hospitals, rehab, home health, disability services, aging care, and daily-function needs. Growth is strong, and the main qualifiers are reimbursement, school budgets, and productivity pressure in post-acute settings. The work turns disability, injury, illness, and developmental delay into practical daily-function support.
Federal projections show 160.0K occupational-therapist jobs in 2024, 13.8% growth, and 10.2K annual openings. Annual openings are about 6.4% of the 2024 workforce.
The demand source is demand is tied to licensed daily-function care in schools, hospitals, rehab, home health, disability support, and aging-related services.
Demand stays resilient because OT combines licensed plan-setting with patient-specific daily-function work. AI can help with paperwork and home programs, but it does not replace the clinical setup and adaptation work.
The threshold is documentation or care-plan software that produces real caseload relief without lowering care quality. If tools only add review work or help billing notes, the result would not move; the trigger is usable time back in normal OT jobs.
A narrowing of OT scope in schools, skilled nursing, or home health would cross the threshold if it reduced licensed evaluation and adaptation work. Temporary reimbursement cuts in one setting would matter less than a broad change in who can provide services.
Assistive robotics would need to replace a full slice of OT-supervised daily-function work across homes, schools, or rehab settings. A helpful device for one transfer, exercise, or reminder would not be enough because matching tool to person remains the hard part.