Will AI replace Recreation Workers?
Most of the work in Recreation Workers still leans on things AI struggles with — research rates its theoretical AI reach at only ~24%, and real-world use lower still.
O*NET-SOC 39-9032
How your 18 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 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 (~24%), 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 18 tasks, ratedBased on real task-level AI scores — click to collapse
- Complete and maintain time and attendance forms and inventory lists.
- Document individuals' progress toward meeting their treatment goals.
- Assess the needs and interests of individuals and groups and plan activities accordingly, given the available equipment or facilities.
- Manage the daily operations of recreational facilities.
- Evaluate recreation areas, facilities, and services to determine if they are producing desired results.
- Oversee the purchase, planning, design, construction, and upkeep of recreation facilities and areas.
- Enforce rules and regulations of recreational facilities to maintain discipline and ensure safety.
- Organize, lead, and promote interest in recreational activities, such as arts, crafts, sports, games, camping, and hobbies.
- Administer first aid according to prescribed procedures and notify emergency medical personnel when necessary.
- Explain principles, techniques, and safety procedures to participants in recreational activities and demonstrate use of materials and equipment.
- Direct special activities or events, such as aquatics, gymnastics, or performing arts.
- Supervise and coordinate the work activities of personnel, such as training staff members and assigning work duties.
- Greet new arrivals to activities, introducing them to other participants, explaining facility rules, and encouraging participation.
- Confer with management to discuss and resolve participant complaints.
- Meet with staff to discuss rules, regulations, and work-related problems.
- Encourage participants to develop their own activities and leadership skills through group discussions.
- Meet and collaborate with agency personnel, community organizations, and other professional personnel to plan balanced recreational programs for participants.
- Provide for entertainment and set up related decorations and equipment.
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.