As of October 2026, First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services has an AI-exposure score of 57/100 (Elevated exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 31.0 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026). BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services

57/100
Elevated exposure
LowModerateElevatedHighVery High

More exposed than 54% of the roles we track. Median pay ~US$48,560. About 13,400 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

Will AI replace First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services?

No exposure score can predict whether AI will replace this role. The 57/100 score means our current model estimates elevated task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role is in the Elevated exposure band, but its assessed task mix is not automation-heavy. The study found the decline concentrated where AI was more likely to automate rather than augment work, so the headline figure should not be applied directly.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 31.0 exact occupation

Directly supervise and coordinate activities of entertainment and recreation related workers.

Common titles
Guest Services ManagerHair Salon ManagerRecreation CoordinatorSalon ManagerCaddymasterCommunity Life Director
O*NET job-zone preparation
Job Zone 2 · Job Zone 1-2: Very Little to Some Preparation Needed Usually requires a high school diploma or GED, though some occupations may not. Some occupations may need little or no previous experience; others require several months to a year of experience.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
InstructingManagement of Personnel ResourcesSocial PerceptivenessSpeakingTime ManagementCritical Thinking
Work context
Frequent contact with othersIndoor controlled settingDecision latitudeRepeating tasks

Source: O*NET 31.0 exact occupation - First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services, SOC 39-1014.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services tasks, by AI exposure

Automatable
  • Requisition supplies and equipment necessary for workers to facilitate recreational or entertainment activities, such as safety harnesses, flash lights, or first aid kits.
  • Direct or coordinate the activities of entertainment and recreation related workers.
  • Inform workers about interests or special needs of specific groups.
3 more automatable tasks locked in the report.
Augmentable
  • Assign work schedules, following work requirements, to ensure quality and timely delivery of service.
  • Train workers in proper operational procedures and functions and explain company policies.
10 more augmentable tasks locked in the report.
Durable
  • Provide staff with assistance in performing difficult or complicated duties.

We analyzed all 19 First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services tasks - 6 automatable, 12 augmentable and 1 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.

First-Line Supervisors of Farming, Fishing, and Forestry Workers
40% skills overlap; 6 points lower - lower exposure; Elevated band; ~US$59,320
View path
51
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Requisition supplies and equipment necessary for workers to facilitate recreational or entertainment activities, such as safety harnesses, flash lights, or first aid kits.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services - median pay by US state (BLS OEWS, USD)

California: US$53,620New York: US$51,320Florida: US$50,110Texas: US$44,690

Median annual wage, in USD. US national: US$48,560. More states are being added.

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