Will AI replace Occupational Therapy Assistants?
Most of the work in Occupational Therapy Assistants still leans on things AI struggles with — research rates its theoretical AI reach at only ~27%, and real-world use lower still.
O*NET-SOC 31-2011
How your 21 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~27%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~27%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 21 tasks, ratedBased on real task-level AI scores — click to collapse
- Report to supervisors, verbally or in writing, on patients' progress, attitudes, and behavior.
- Observe and record patients' progress, attitudes, and behavior and maintain this information in client records.
- Attend continuing education classes.
- Perform clerical duties, such as scheduling appointments, collecting data, or documenting health insurance billings.
- Select therapy activities to fit patients' needs and capabilities.
- Attend care plan meetings to review patient progress and update care plans.
- Order any needed educational or treatment supplies.
- Instruct, or assist in instructing, patients and families in home programs, basic living skills, or the care and use of adaptive equipment.
- Maintain and promote a positive attitude toward clients and their treatment programs.
- Implement, or assist occupational therapists with implementing, treatment plans designed to help clients function independently.
- Monitor patients' performance in therapy activities, providing encouragement.
- Aid patients in dressing and grooming themselves.
- Evaluate the daily living skills or capacities of physically, developmentally, or emotionally disabled clients.
- Communicate and collaborate with other healthcare professionals involved with the care of a patient.
- Work under the direction of occupational therapists to plan, implement, or administer educational, vocational, or recreational programs that restore or enhance performance in individuals with functional impairments.
- Alter treatment programs to obtain better results if treatment is not having the intended effect.
- Assemble, clean, or maintain equipment or materials for patient use.
- Transport patients to and from the occupational therapy work area.
- Design, fabricate, or repair assistive devices or make adaptive changes to equipment or environments.
- Demonstrate therapy techniques, such as manual or creative arts or games.
- Teach patients how to deal constructively with their emotions.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.