Will AI replace Occupational Therapy Aides?
Work in Occupational Therapy Aides sits in the in-between: AI reaches some of it (~24% in theory) but is only measured doing about 7% today — part human, part machine.
O*NET-SOC 31-2012
How your 12 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 (~24%). By late 2025, real-world AI use had reached about 7% of its task activity (growing but still limited). 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 (~24%), real-world use (~7%) 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 12 tasks, ratedBased on real task-level AI scores — click to collapse
- Report to supervisors or therapists, verbally or in writing, on patients' progress, attitudes, attendance, and accomplishments.
- Observe patients' attendance, progress, attitudes, and accomplishments and record and maintain information in client records.
- Perform clerical, administrative, and secretarial duties, such as answering phones, restocking and ordering supplies, filling out paperwork, and scheduling appointments.
- No tasks in this middle tier.
- Encourage patients and attend to their physical needs to facilitate the attainment of therapeutic goals.
- Prepare and maintain work area, materials, and equipment and maintain inventory of treatment and educational supplies.
- Transport patients to and from the occupational therapy work area.
- Instruct patients and families in work, social, and living skills, the care and use of adaptive equipment, and other skills to facilitate home and work adjustment to disability.
- Assist occupational therapists in planning, implementing, and administering therapy programs to restore, reinforce, and enhance performance, using selected activities and special equipment.
- Demonstrate therapy techniques, such as manual and creative arts and games.
- Manage intradepartmental infection control and equipment security.
- Supervise patients in choosing and completing work assignments or arts and crafts projects.
- Adjust and repair assistive devices and make adaptive changes to other equipment and to environments.
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.