AI Resilience Report forOccupational Therapy Assistants

Right now, AI is mostly augmenting (helping) occupational therapy assistants rather than replacing them. The biggest gains are in paperwork — not in the hands-on therapy work you'd actually do with a client. A 2025 study comparing ChatGPT to licensed therapists found that AI-generated clinical notes scored higher on completeness and even perceived empathy than human-written ones ^[1], though human notes were more consistent across reviewers.

The American Occupational Therapy Association is encouraging practitioners to use generative AI for nonbillable tasks like creating home client resources, developing engaging treatment plans, supporting fieldwork students, and staying organized with documentation ^[2]. For the actual therapy itself, a 2026 umbrella review found that AI- and robot-assisted rehabilitation can improve post-stroke upper-limb activity but suffers a big "development-to-deployment" performance drop, meaning tools work worse in real clinics than in labs ^[3]. Translation: machines aren't yet trusted to demonstrate exercises, motivate patients, or adapt treatment in the moment — that's still your job.

Expect AI adoption to be steady but slow on the clinical side. Demand is exploding: the U.S. Bureau of Labor Statistics projects employment of occupational therapy assistants and aides will grow 18% from 2024 to 2034, much faster than average ^[4], so AI is more likely to help a shortage of workers than replace them. Healthcare leaders are investing heavily — 61% of surveyed health system executives are already building agentic AI, and 98% expect at least 10% cost savings within three years ^[5] — but spending is concentrated in admin and billing, not bedside care.

Reviewers also caution that adoption should be gated by blinded, multi-site validation, fairness checks, and post-market monitoring before changing care pathways ^[3], and AOTA's 2025 ethics policy reminds practitioners that human judgment, empathy, and accountability still come first. The human touch — encouragement, creativity, hands-on coaching — is exactly what's hardest to automate, and it's what makes this career a hopeful one.