AI Resilience Report forOccupational Therapy Aides

By contrast, the hands-on parts of the job are much harder to replace. Some clinics use sensors or cameras (even game-like systems such as Microsoft’s Kinect) to watch patients do exercises and measure their movement ^{[3] [3]}. These tools can record progress and alert therapists if there’s a problem.

But other tasks still need a person. Computers can’t comfort a patient or notice subtle cues the way a person can. In fact, experts warn that no machine yet picks up on a patient’s mood or facial expressions like a real helper does ^{[2] [3]}.

Adjusting a wheelchair, helping someone stand safely, or encouraging a patient’s confidence all rely on human care. Right now, AI tools mostly augment aides (for example by measuring exercise motions), rather than replacing the human touch.

On the other hand, adoption can be slow. Hospitals and clinics must pay to set up new systems and train staff. Patients and families often prefer real people for personal care, too.

Nursing groups point out that AI should help – not replace – caregivers ^{[2] [2]}. In short, clinics are likely to use AI to take on routine admin work quickly (for example, booking visits or monitoring equipment), but they will move more cautiously on tasks involving direct patient support. Human skills like empathy, judgment, and hands-on help remain hard to automate, so occupational therapy aides will still be needed to provide caring attention even as AI tools grow.