Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+6.3% by 2034)
- 13,400 openings/yr
- High AI exposure
- Median pay $46,900/yr
Occupation · SOC 39-1014.00
Directly supervise and coordinate activities of entertainment and recreation related workers.
Also called: Caddymaster · Community Life Director · Hair Salon Manager · Recreation Coordinator · Hotel Services Supervisor · Salon Manager · Animal Trainer Supervisor · Aquatics Supervisor · Arcade Supervisor · Bowling Alley Operator · Caddie Supervisor · Caddy Master
Job family: Personal Care and Service Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-39-1014-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Independent published positions, read together — not a forecast.
64th-percentile task overlap — yet about 13,400 openings a year (+6.3% projected, BLS) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 48th | 0.6 | |
| AI assistant applicability (Microsoft) High | 80th | 0.3 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.4), and including AI-powered software (γ 0.6). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Furnish customers with information on events or activities. | 0.7% | |
| Inform workers about interests or special needs of specific groups. | 0.6% | |
| Analyze and record personnel or operational data and write related activity reports. | 0.2% | |
| Resolve customer complaints regarding worker performance or services rendered. | 0.2% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +6.3% by 2034 |
| Projected annual openings | 13,400 |
| Employment 2024 → 2034 | 123,300 → 131,100 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 19 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
| Example | Category | |
|---|---|---|
| Microsoft Office software | Office suite software | Hot technology In demand |
| Microsoft Excel | Spreadsheet software | Hot technology |
| Microsoft Outlook | Electronic mail software | Hot technology |
| Microsoft PowerPoint | Presentation software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
| Inventory management systems | Inventory management software | |
| Timekeeping software | Time accounting software | |
| Web browser software | Internet browser software | |
| Work scheduling software | Calendar and scheduling software |
What to study: Parks, Recreation, Leisure, Fitness, and Kinesiology . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
The interests and personal qualities O*NET associates with people who do this work.
| Enterprising | 7.0 | |
| Conventional | 4.7 | |
| Social | 4.4 | |
| Realistic | 2.9 |
| Management/Administration | 6.2 | |
| Human Resources | 4.0 | |
| Personal Service | 3.7 | |
| Public Speaking | 3.4 | |
| Athletics | 3.1 | |
| Business Initiatives | 2.4 | |
| Teaching/Education | 2.3 | |
| Office Work | 2.2 |
| Dependability | 4.0 | |
| Cooperation | 3.0 | |
| Leadership Orientation | 2.8 | |
| Social Orientation | 2.3 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $32,960 |
| 25th percentile | $37,960 |
| Median (50th) | $46,900 |
| 75th percentile | $60,190 |
| 90th percentile | $76,430 |
| People employed | 92,830 |
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Arts, Entertainment, and Recreation · Sector | 38,600 | $44,250 |
| Fitness and Recreational Sports Centers · National industry | 13,010 | $44,230 |
| Health Care and Social Assistance · Sector | 9,360 | $50,510 |
| Information · Sector | 8,410 | $39,140 |
| Other Services (except Public Administration) · Sector | 6,690 | $46,670 |
| Accommodation and Food Services · Sector | 4,260 | $50,670 |
| Educational Services · Sector | 3,680 | $51,800 |
| Real Estate and Rental and Leasing · Sector | 1,020 | $44,870 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 790 | $44,800 |
| Casino Hotels · National industry | 650 | $50,250 |
| Theater Companies and Dinner Theaters · National industry | 530 | $45,100 |
| Transportation and Warehousing · Sector | 300 | $48,990 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Fitness and Recreational Sports Centers · National industry | 34.28× | 13,010 |
| Arts, Entertainment, and Recreation · Sector | 24.26× | 38,600 |
| Theater Companies and Dinner Theaters · National industry | 12.16× | 530 |
| Information · Sector | 4.8× | 8,410 |
| Casino Hotels · National industry | 3.2× | 650 |
| Other Services (except Public Administration) · Sector | 2.51× | 6,690 |
| Real Estate and Rental and Leasing · Sector | 0.72× | 1,020 |
| Health Care and Social Assistance · Sector | 0.67× | 9,360 |
Part of the Arts, Entertainment, & Design and Hospitality, Events, & Tourism career clusters.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services show 64th-percentile AI task overlap — and about 13,400 annual U.S. openings
First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services show 64th-percentile AI task overlap — and about 13,400 annual U.S. openings • First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services rank in the 64th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 13,400 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+6.3%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $46,900, across about 92,830 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services". https://singulariki.com/roles/role-39-1014-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-39-1014-00
Singulariki. (2026). First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-39-1014-00
@misc{singulariki-role-39-1014-00,
title = {First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-39-1014-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.