SOC 39-9032

Recreation Workers AI displacement risk

Recreation workers organize and lead activities at parks, camps, and community centers. Registration platforms and program-planning tools handle enrollment and logistics, but leading fifty children through a camp day, adapting activities to the group in front of you, and responding to injuries are in-person work.

Exposure30

Share and intensity of work current AI systems can materially affect.

Automation13%

Likely potential for exposed tasks to move to software after workflow integration.

Risk bandLow

Digital tools absorb the enrollment and scheduling burden that used to consume program staff. The facilitation itself — reading group energy, managing safety, improvising when weather kills the plan — is the durable job.

Distribution

Where Recreation Workers sits across 620 tracked roles

Recreation Workers · 20050100

Displacement pressure 20 — higher than 23% of the 620 occupations tracked on displacement.ai.

Score version

This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.

24 O*NET task statements matched to SOC 39-9032. The displayed task profile combines these official task statements with the current public score model.

Median wage context: $36,560 (May 2025, US national). The latest BLS row matched SOC 39-9032.

Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.

2030 economic stress test

How Anthropic's scenarios classify Recreation Workers

SOC 39-9032 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 20/100 role score and are not an occupation forecast.

Modest change

+1.1% group wage

Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.

Economy-wide: +1.6% GDP and 3.9% unemployment.

Substantial change

+5.9% group wage

Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.

Economy-wide: +8.3% GDP and 4.6% unemployment.

Extreme change

+33.6% group wage

Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.

Economy-wide: +32.4% GDP and 11.9% unemployment.

Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.

Official task evidence

O*NET task matches for Recreation Workers

The current evidence import matched 24 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.

Dataset31.0 (August 2026)
Matched tasks24
SOC39-9032
  • Core task / ID 2380

    Enforce rules and regulations of recreational facilities to maintain discipline and ensure safety.

  • Core task / ID 2381

    Organize, lead, and promote interest in recreational activities, such as arts, crafts, sports, games, camping, and hobbies.

  • Core task / ID 21010

    Assess the needs and interests of individuals and groups and plan activities accordingly, given the available equipment or facilities.

  • Core task / ID 2382

    Manage the daily operations of recreational facilities.

  • Core task / ID 2383

    Administer first aid according to prescribed procedures and notify emergency medical personnel when necessary.

  • Core task / ID 2388

    Complete and maintain time and attendance forms and inventory lists.

Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.

Task profile

Where AI changes the work

social

Organize and lead recreational activities

Exposure 18, automation 6%, augmentation 40%.

O*NET evidence: Organize, lead, and promote interest in recreational activities, such as arts, crafts, ... (ID 2381)

compliance

Enforce facility rules to ensure safety

Exposure 22, automation 9%, augmentation 40%.

O*NET evidence: Enforce rules and regulations of recreational facilities to maintain discipline and ens... (ID 2380)

analytical

Assess group needs and plan activities

Exposure 30, automation 13%, augmentation 50%.

O*NET evidence: Assess the needs and interests of individuals and groups and plan activities accordingl... (ID 21010)

social

Explain techniques and demonstrate equipment use

Exposure 20, automation 8%, augmentation 42%.

O*NET evidence: Explain principles, techniques, and safety procedures to participants in recreational a... (ID 2386)

TaskExposureAutomationAugmentation
Organize and lead recreational activities186%40%
Enforce facility rules to ensure safety229%40%
Assess group needs and plan activities3013%50%
Explain techniques and demonstrate equipment use208%42%

Transition pathways

Adjacent moves that preserve existing skills

role redesign

Recreation Program Director

Training horizon: 6-12 months. Skill overlap 66. Wage preservation signal 122.

  • Own program portfolios
  • Manage seasonal staff
  • Lead community partnerships
Low
credentialed transition

Certified Therapeutic Recreation Specialist

Training horizon: 12-24 months. Skill overlap 58. Wage preservation signal 118.

  • Complete a recreation-therapy degree
  • Pass NCTRC certification
  • Serve clinical populations
Low

Comparison guides

Compare the next move before you commit

What the AI risk score means for Recreation Workers

The displacement pressure score for Recreation Workers is 20. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.

For this role, the clearest risk pattern is visible at the task level. Assess group needs and plan activities carries 13% automation pressure, while Assess group needs and plan activities carries 50% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.

Labor-market context and wage risk

Median wage: $36,560 (May 2025, US national). Employment context: Program-leadership role for parks, camps, and community centers. Typical education: High school plus experience; bachelor degree for program roles.

Wage vulnerability is 60, while transition feasibility is 62. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.

  • Low displacement pressure
  • Platforms absorb registration logistics
  • Group leadership stays in person

Upskilling priorities

Skills that make this role more resilient

The safest upskilling plan starts with skills already close to the work. For Recreation Workers, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.

Priority 1

Activity facilitation

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 2

Participant safety

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 3

Program planning

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 4

First aid

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

90-day transition plan

The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.

  1. In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
  2. By 60 days, complete one small project connected to Recreation Program Director, such as own program portfolios.
  3. By 90 days, compare internal openings and external postings for Recreation Program Director or Certified Therapeutic Recreation Specialist and update your resume around measurable workflow outcomes.

FAQ

Questions about AI and Recreation Workers

Will AI replace Recreation Workers?

Recreation workers organize and lead activities at parks, camps, and community centers. Registration platforms and program-planning tools handle enrollment and logistics, but leading fifty children through a camp day, adapting activities to the group in front of you, and responding to injuries are in-person work. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.

Which parts of Recreation Workers work are most exposed to AI?

Assess group needs and plan activities and Enforce facility rules to ensure safety show the strongest automation pressure in this model. Assess group needs and plan activities and Explain techniques and demonstrate equipment use are better treated as AI-augmented work.

What should Recreation Workers learn next?

Start with Activity facilitation, Participant safety, Program planning. The most practical adjacent paths in this model are Recreation Program Director and Certified Therapeutic Recreation Specialist.

How should this score be used?

Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.

Sources

Evidence trail