Often handed to AI
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
- Provide information about facilities, entertainment options, and rules and regulations. · 1.3%
Amusement and Recreation Attendants
Occupation · SOC 39-3091.00
Perform a variety of attending duties at amusement or recreation facility. May schedule use of recreation facilities, maintain and provide equipment to participants of sporting events or recreational pursuits, or operate amusement concessions and rides.
Also called: Golf Course Ranger · Recreation Attendant · Ride Operator · Ski Lift Operator · Activities Attendant · Coaster Attendant · Golf Course Starter · Recreation Aide · Recreation Clerk · Sports Complex Attendant · Alley Worker · Amusement Attendant
Job family: Personal Care and Service Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-39-3091-00/context.md directly.
AI work map
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.
Keep a human in the loop
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
- Provide information about facilities, entertainment options, and rules and regulations. · 98.5% need a human
Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+3.4% by 2034)
- 102,400 openings/yr
- High AI exposure
- Observed AI use leans augmentation
- Median pay $30,490/yr
- Work is mostly on-site (not teleworkable)
- 2013 flagged this for computerization (59th); today's AI task-overlap is comparatively low (48th)
48th-percentile task overlap — yet about 102,400 openings a year (+3.4% projected, BLS), and observed AI use leans 5299% copilot, not hand-off (AEI) . What exposure means →
AI & job outlook
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.
Exposure to current AI
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 |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Moderate | 34th | -0.5 | |
| LLM task exposure, γ (OpenAI / Eloundou) Low | 27th | 0.2 | |
| AI assistant applicability (Microsoft) High | 86th | 0.3 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.2), and including AI-powered software (γ 0.2). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.7 · 59th percentile among occupations · Moderate
How AI is actually used in this job
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.
| Provide information about facilities, entertainment options, and rules and regulations. | 1.8% |
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +3.4% by 2034 |
| Projected annual openings | 102,400 |
| Employment 2024 → 2034 | 392,300 → 405,500 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international 2 occupations below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
Amusement and Recreation Attendants sits at the 43rd percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure eased from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
24% mean task exposure (2025)
43rd percentile of 427 placed occupations
−4 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Elementary Workers Not Elsewhere Classified · 9629 | 29% | Minimal |
| Crane, hoist and related plant operators · 8343 | 18% | Not exposed |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Working with AI in this job
How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.
| Augmentation vs. automation | 53.0% working with AI · 39.5% handed to AI |
| Most common way people use AI here | Directive · AI does it; you give the instruction |
| Typical AI autonomy | 3.0 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 32.8% |
What people delegate to AI
The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.
| Task | How | Usage |
|---|---|---|
| Provide information about facilities, entertainment options, and rules and regulations. | Directive | 1.3% |
Where a human is still needed
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Provide information about facilities, entertainment options, and rules and regulations. | 98.5% |
What people most often hand AI here
Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.
-
Help me provide information about facilities, entertainment options, and rules and regulations.From: Provide information about facilities, entertainment options, and rules and regulations. · 1.3% of measured AI use · directive
Tasks
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.
- Sell tickets and collect fees from customers. Core · importance 4.1
- Provide information about facilities, entertainment options, and rules and regulations. Core · importance 4.1
- Keep informed of shut-down and emergency evacuation procedures. Core · importance 3.9
- Direct patrons to rides, seats, or attractions. Core · importance 3.7
- Monitor activities to ensure adherence to rules and safety procedures, or arrange for the removal of unruly patrons. Core · importance 3.7
- Record details of attendance, sales, receipts, reservations, or repair activities. Core · importance 3.7
- Provide assistance to patrons entering or exiting amusement rides, boats, or ski lifts, or mounting or dismounting animals. Supplemental · importance 3.7
- Clean sporting equipment, vehicles, rides, booths, facilities, or grounds. Supplemental · importance 3.6
- Inspect equipment to detect wear and damage and perform minor repairs, adjustments, or maintenance tasks, such as oiling parts. Supplemental · importance 3.6
- Verify, collect, or punch tickets before admitting patrons to venues, such as amusement parks and rides. Supplemental · importance 3.5
- Fasten safety devices for patrons, or provide them with directions for fastening devices. Supplemental · importance 3.5
- Maintain inventories of equipment, storing and retrieving items and assembling and disassembling equipment as necessary. Core · importance 3.5
- Announce or describe amusement park attractions to patrons to entice customers to games and other entertainment. Supplemental · importance 3.3
- Schedule the use of recreation facilities, such as golf courses, tennis courts, bowling alleys, or softball diamonds. Supplemental · importance 3.0
- Sell and serve refreshments to customers. Supplemental · importance 2.9
- Rent, sell, or issue sporting equipment and supplies, such as bowling shoes, golf balls, swimming suits, or beach chairs. Supplemental · importance 2.8
- Operate, drive, or explain the use of mechanical riding devices or other automatic equipment in amusement parks, carnivals, or recreation areas. Supplemental · importance 2.6
- Operate machines to clean, smooth, and prepare the ice surfaces of rinks for activities, such as skating, hockey, or curling. Supplemental
- Tend amusement booths in parks, carnivals, or stadiums, performing duties, such as conducting games, photographing patrons, or awarding prizes. Supplemental
Work activities
- Explain regulations, policies, or procedures.
- Provide attraction or event information to patrons.
- Maintain financial or account records.
- Prepare operational reports or records.
- Monitor operational quality or safety.
- Communicate with management or other staff to resolve problems.
- Sell products or services.
- Maintain knowledge of business operations.
- Clean facilities or work areas.
- Clean tools or equipment.
- Assist patrons with entering or exiting vehicles or other forms of transportation.
- Inspect equipment to ensure proper functioning.
- Distribute resources to patrons or employees.
- Verify patron or staff credentials.
- Provide patrons with directions to locales or attractions.
- Arrange facility schedules.
- Maintain supply or equipment inventories.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
Abilities
| Speech Clarity | 3.9 | |
| Oral Comprehension | 3.8 | |
| Oral Expression | 3.8 | |
| Problem Sensitivity | 3.5 | |
| Speech Recognition | 3.4 | |
| Near Vision | 3.0 | |
| Information Ordering | 2.9 | |
| Selective Attention | 2.9 | |
| Written Comprehension | 2.8 | |
| Deductive Reasoning | 2.8 | |
| Inductive Reasoning | 2.8 | |
| Arm-Hand Steadiness | 2.8 | |
| Trunk Strength | 2.8 | |
| Far Vision | 2.8 | |
| Written Expression | 2.6 | |
| Manual Dexterity | 2.6 | |
| Control Precision | 2.6 | |
| Multilimb Coordination | 2.5 |
Essential skills
| Speaking | 3.3 | |
| Active Listening | 3.0 | |
| Monitoring | 2.9 | |
| Critical Thinking | 2.8 | |
| Writing | 2.5 | |
| Reading Comprehension | 2.4 | |
| Active Learning | 2.4 |
Transferable skills
| Service Orientation | 3.1 | |
| Social Perceptiveness | 3.0 | |
| Coordination | 2.9 | |
| Judgment and Decision Making | 2.6 | |
| Time Management | 2.6 | |
| Persuasion | 2.4 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Tools & technology
| Example | Category | |
|---|---|---|
| Web page creation and editing software | Hot technology | |
| Microsoft Excel | Spreadsheet software | Hot technology |
| Microsoft Office software | Office suite software | Hot technology |
| Microsoft Outlook | Electronic mail software | Hot technology |
| Microsoft Windows | Operating system software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
| Adobe PageMaker | Desktop publishing software | |
| Database software | Data base user interface and query software | |
| Microsoft Internet Explorer | Internet browser software |
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
- Education
- Usually requires a high school diploma or GED, though some occupations may not.
- Typical entry-level education
- No formal educational credential · BLS, the typical path — not a requirement
- Related experience
- Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
- Preparation level
- SVP (Below 6.0) — total schooling plus on-the-job experience.
Education of current workers
Share of people in this occupation at each level of education.
| Less than a High School Diploma | 64.2% | |
| High School Diploma | 31.9% | |
| Associate's Degree (or other 2-year degree) | 2.5% | |
| Bachelor's Degree | 1.4% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Career interests (Holland / RIASEC)
| Conventional | 4.7 | |
| Social | 4.3 | |
| Realistic | 4.2 | |
| Enterprising | 3.8 | |
| Artistic | 1.7 |
Interest areas
| Personal Service | 4.4 | |
| Sales | 2.7 | |
| Physical/Manual Labor | 2.5 | |
| Transportation/Machine Operation | 2.4 | |
| Athletics | 2.2 | |
| Protective Service | 2.1 | |
| Accounting | 1.9 | |
| Public Speaking | 1.7 | |
| Management/Administration | 1.7 |
Work styles
| Dependability | 2.1 | |
| Cooperation | 1.8 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $21,940 |
| 25th percentile | $26,430 |
| Median (50th) | $30,490 |
| 75th percentile | $35,360 |
| 90th percentile | $39,940 |
| People employed | 371,590 |
Industries that employ this occupation
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 | 276,690 | $29,910 |
| Fitness and Recreational Sports Centers · National industry | 51,150 | $31,580 |
| Accommodation and Food Services · Sector | 19,650 | $33,280 |
| Educational Services · Sector | 11,200 | $30,110 |
| Other Services (except Public Administration) · Sector | 7,550 | $31,290 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 4,710 | $33,280 |
| Real Estate and Rental and Leasing · Sector | 4,270 | $33,080 |
| Casino Hotels · National industry | 2,750 | $29,770 |
| Temporary Help Services · National industry | 2,480 | $32,770 |
| Information · Sector | 1,900 | $25,010 |
| Retail Trade · Sector | 1,680 | $30,170 |
| Sporting Goods Retailers · National industry | 1,380 | $31,190 |
Where this work is most concentrated
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 |
|---|---|---|
| Arts, Entertainment, and Recreation · Sector | 43.45× | 276,690 |
| Fitness and Recreational Sports Centers · National industry | 33.67× | 51,150 |
| Casino Hotels · National industry | 3.39× | 2,750 |
| Sporting Goods Retailers · National industry | 1.92× | 1,380 |
| Theater Companies and Dinner Theaters · National industry | 1.38× | 240 |
| Real Estate and Rental and Leasing · Sector | 0.75× | 4,270 |
| Other Services (except Public Administration) · Sector | 0.71× | 7,550 |
| Accommodation and Food Services · Sector | 0.57× | 19,650 |
Related occupations
Part of the Hospitality, Events, & Tourism career cluster.
- Locker Room, Coatroom, and Dressing Room Attendants · 39-3093.00 Compare →
- Baggage Porters and Bellhops · 39-6011.00 Compare →
- Parking Attendants · 53-6021.00 Compare →
- Counter and Rental Clerks · 41-2021.00 Compare →
- Ushers, Lobby Attendants, and Ticket Takers · 39-3031.00 Compare →
- Laborers and Freight, Stock, and Material Movers, Hand · 53-7062.00 Compare →
- Passenger Attendants · 53-6061.00 Compare →
- First-Line Supervisors of Gambling Services Workers · 39-1013.00 Compare →
- Dining Room and Cafeteria Attendants and Bartender Helpers · 35-9011.00 Compare →
- Dispatchers, Except Police, Fire, and Ambulance · 43-5032.00 Compare →
- Entertainment and Recreation Managers, Except Gambling · 11-9072.00 Compare →
- Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers · 33-9092.00 Compare →
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for Amusement and Recreation Attendants — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- No formal educational credential · typical entry level
- Job zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed · preparation tier
Zoom out
On the global GenAI exposure gradient this work sits around the 43rd percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Amusement and Recreation Attendants show 48th-percentile AI task overlap — and about 102,400 annual U.S. openings
- Amusement and Recreation Attendants rank in the 48th 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 102,400 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 (+3.4%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $30,490, across about 371,590 U.S. workers.BLS OEWS (May 2024)
- Of the AI use actually observed for this work, 53% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
Amusement and Recreation Attendants show 48th-percentile AI task overlap — and about 102,400 annual U.S. openings • Amusement and Recreation Attendants rank in the 48th 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 102,400 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 (+3.4%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $30,490, across about 371,590 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 53% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2) Source: Singulariki — "Amusement and Recreation Attendants". https://singulariki.com/roles/role-39-3091-00 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.
Sources for this page
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.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Amusement and Recreation Attendants." 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; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-39-3091-00
APA
Singulariki. (2026). Amusement and Recreation Attendants. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-39-3091-00
BibTeX
@misc{singulariki-role-39-3091-00,
title = {Amusement and Recreation Attendants},
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; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-39-3091-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.