Will AI replace Recreational Therapists?
Most of the work in Recreational Therapists still leans on things AI struggles with — research rates its theoretical AI reach at only ~32%, and real-world use lower still.
O*NET-SOC 29-1125
How your 11 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 (~32%). 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 (~32%), 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 11 tasks, ratedBased on real task-level AI scores — click to collapse
- Prepare and submit reports and charts to treatment team to reflect patients' reactions and evidence of progress or regression.
- Observe, analyze, and record patients' participation, reactions, and progress during treatment sessions, modifying treatment programs as needed.
- Develop treatment plan to meet needs of patient, based on needs assessment, patient interests, and objectives of therapy.
- Obtain information from medical records, medical staff, family members and the patients, themselves, to assess patients' capabilities, needs and interests.
- Confer with members of treatment team to plan and evaluate therapy programs.
- Develop discharge plans for patients.
- Instruct patient in activities and techniques, such as sports, dance, music, art, or relaxation techniques, designed to meet their specific physical or psychological needs.
- Conduct therapy sessions to improve patients' mental and physical well-being.
- Plan, organize, direct, and participate in treatment programs and activities to facilitate patients' rehabilitation, help them integrate into the community, and prevent further medical problems.
- Counsel and encourage patients to develop leisure activities.
- Encourage clients with special needs and circumstances to acquire new skills and get involved in health-promoting leisure activities, such as sports, games, arts and crafts, and gardening.
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.