SOC 11-9072

Entertainment and Recreation Managers AI displacement risk

Entertainment and recreation managers plan programs, hire staff, and run budgets for venues, camps, and attractions. Booking platforms and scheduling software automate the logistics, while live-event judgment — reading a crowd, handling the day-of crisis, building a program people return for — stays with the manager.

Exposure44

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

Automation20%

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

Risk bandLow

Software compresses the administrative half of the role: budgets, bookings, and schedules. The other half is presence: staff supervision during events and customer relationships are in-person management work.

Distribution

Where Entertainment and Recreation Managers sits across 620 tracked roles

Entertainment and Recreation Managers · 26050100

Displacement pressure 26 — higher than 37% 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.

17 O*NET task statements matched to SOC 11-9072. The displayed task profile combines these official task statements with the current public score model.

Median wage context: $79,520 (May 2025, US national). The latest BLS row matched SOC 11-9072.

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 Entertainment and Recreation Managers

SOC 11-9072 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 26/100 role score and are not an occupation forecast.

Modest change

+0.4% group wage

-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.

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

Substantial change

-0.3% group wage

-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.

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

Extreme change

-11.5% group wage

-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.

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 Entertainment and Recreation Managers

The current evidence import matched 17 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 tasks17
SOC11-9072
  • Core task / ID 21416

    Write budgets to plan recreational activities or programs.

  • Core task / ID 21412

    Talk to coworkers using electronic devices, such as computers and radios.

  • Core task / ID 21413

    Talk to customers to convey information about events or activities.

  • Core task / ID 21408

    Plan programs of events or schedules of activities.

  • Core task / ID 21404

    Explain rules and regulations of facilities and entertainment attractions to customers.

  • Core task / ID 21402

    Calculate and record department expenses and revenue.

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

analytical

Plan programs of events and activity schedules

Exposure 48, automation 25%, augmentation 58%.

O*NET evidence: Plan programs of events or schedules of activities. (ID 21408)

social

Plan, organize, or lead group activities

Exposure 26, automation 10%, augmentation 48%.

O*NET evidence: Plan, organize, or lead group activities for customers, such as exercise routines, athl... (ID 21409)

information

Write budgets for recreational programs

Exposure 52, automation 28%, augmentation 58%.

O*NET evidence: Write budgets to plan recreational activities or programs. (ID 21416)

social

Interview and hire associates

Exposure 34, automation 15%, augmentation 50%.

O*NET evidence: Interview and hire associates to fill staff vacancies. (ID 21406)

TaskExposureAutomationAugmentation
Plan programs of events and activity schedules4825%58%
Plan, organize, or lead group activities2610%48%
Write budgets for recreational programs5228%58%
Interview and hire associates3415%50%

Transition pathways

Adjacent moves that preserve existing skills

role redesign

Venue Operations Director

Training horizon: 6-12 months. Skill overlap 68. Wage preservation signal 124.

  • Own facility P&L
  • Lead event-day operations
  • Build promoter relationships
Low
role redesign

Recreation Program Director

Training horizon: 3-6 months. Skill overlap 64. Wage preservation signal 112.

  • Grow program portfolios
  • Own registration platforms
  • Measure participation outcomes
Low

Comparison guides

Compare the next move before you commit

What the AI risk score means for Entertainment and Recreation Managers

The displacement pressure score for Entertainment and Recreation Managers is 26. 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. Write budgets for recreational programs carries 28% automation pressure, while Plan programs of events and activity schedules carries 58% 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: $79,520 (May 2025, US national). Employment context: Venue and program operations with booking software assists. Typical education: Bachelor degree plus facility experience.

Wage vulnerability is 28, while transition feasibility is 64. 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 automate booking logistics
  • Live-event judgment stays on site

Upskilling priorities

Skills that make this role more resilient

The safest upskilling plan starts with skills already close to the work. For Entertainment and Recreation Managers, 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

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 2

Event operations

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

Budgeting

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

Staff supervision

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 Venue Operations Director, such as own facility p&l.
  3. By 90 days, compare internal openings and external postings for Venue Operations Director or Recreation Program Director and update your resume around measurable workflow outcomes.

FAQ

Questions about AI and Entertainment and Recreation Managers

Will AI replace Entertainment and Recreation Managers?

Entertainment and recreation managers plan programs, hire staff, and run budgets for venues, camps, and attractions. Booking platforms and scheduling software automate the logistics, while live-event judgment — reading a crowd, handling the day-of crisis, building a program people return for — stays with the manager. 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 Entertainment and Recreation Managers work are most exposed to AI?

Write budgets for recreational programs and Plan programs of events and activity schedules show the strongest automation pressure in this model. Plan programs of events and activity schedules and Write budgets for recreational programs are better treated as AI-augmented work.

What should Entertainment and Recreation Managers learn next?

Start with Program planning, Event operations, Budgeting. The most practical adjacent paths in this model are Venue Operations Director and Recreation Program Director.

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