Community Sentiment
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AI Automation Index
Will AI Replace Entertainment and Recreation Managers, Except Gambling?
Task-level automation exposure for Entertainment and Recreation Managers, Except Gambling: 17 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
50%
weighted task index
17 of 17 tasks scored
Median Salary
$79,520 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Medium
37,980 people hold this job — size, not growth
Projected 2025–35
+6.0%
employment change
5,100 openings a year · BLS line item
Pay by state
BLS OEWS publishes 48 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$43,260 – $113,930
Highest medians
District of Columbia $113,930
Minnesota $107,660
New York $98,390
Colorado $97,000
Washington $96,790
Lowest medians
Puerto Rico $43,260
West Virginia $47,310
Arkansas $49,640
Ohio $58,440
Louisiana $62,390
State figures come from the 11-9072 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 50%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 8%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 36%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 6%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 21/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
17 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 25%
4 tasks
Medium exposure (≥ 35%) 58%
9 tasks
Low exposure (below 35%) 17%
4 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#21416 · Core · 78% automatable
Write budgets to plan recreational activities or programs.
data analysis — Reports and budgets drafted; human owns assumptions
Prepare financial documents, reports, or budgets.
#21412 · Core · 55% automatable
Talk to coworkers using electronic devices, such as computers and radios.
interpersonal — Colleague information exchange is relational, contextual
Exchange information with colleagues.
#21413 · Core · 50% automatable
Talk to customers to convey information about events or activities.
information retrieval — Event info retrieval assisted; patron interaction human
Provide attraction or event information to patrons.
#21408 · Core · 58% automatable
Plan programs of events or schedules of activities.
decision support — Complex multi-stakeholder planning needs human execution
Plan conferences, programs, or special events.
#21404 · Core · 56% automatable
Explain rules and regulations of facilities and entertainment attractions to customers.
information retrieval — AI explains policies; human handles live questions
Explain regulations, policies, or procedures. Provide attraction or event information to patrons.
#21402 · Core · 85% automatable
Calculate and record department expenses and revenue.
data analysis — Reconciling transaction records is rule-based matching
Reconcile records of sales or other financial transactions.
#21406 · Core · 36% automatable
Interview and hire associates to fill staff vacancies.
interpersonal — Live interview judgment and rapport; AI can only screen
Conduct eligibility or selection interviews. Hire personnel.
#21401 · Core · 68% automatable
Assign tasks and work hours to staff.
decision support — Assignments drafted; accountability and negotiation human
Assign duties or work schedules to employees.
#21409 · Core · 44% automatable
Plan, organize, or lead group activities for customers, such as exercise routines, athletic events, or arts and crafts.
interpersonal — Public programs need community engagement and judgment
Plan community programs or activities for the general public. Lead classes or community events.
#21410 · Core · 45% automatable
Resolve customer complaints regarding worker performance or services rendered.
interpersonal — Complaint resolution needs authority and rapport
Resolve customer complaints or problems.
#21414 · Core · 50% automatable
Train workers in company procedures or policy.
information retrieval — AI explains policies; human handles live questions
Explain regulations, policies, or procedures. Train service staff.
#21400 · Core · 6% automatable
Administer first aid in emergency situations.
physical manipulation — Applying bandages and splints needs manual dexterity
Apply bandages, dressings, or splints.
#21415 · Core · 50% automatable
Write and present strategies for recreational facility programming using customer or employee data.
decision support — AI drafts policies; accountability and context are human
Develop organizational policies or programs. Confer with personnel to coordinate business operations.
#21411 · Core · 72% automatable
Store and retrieve equipment, such as vehicles, radios, and ride components.
data analysis — Supply inventory tracking and reorder largely automatable
Maintain supply or equipment inventories.
#21405 · Supplemental · 20% automatable
Inspect equipment, such as rides, games, and vehicles, to detect wear and damage.
visual inspection — Physical condition/function check needs hands-on access
Inspect condition or functioning of facilities or equipment.
#21403 · Supplemental · 8% automatable
Clean equipment and areas of amusement park, cruise ship, or other recreational facility.
physical manipulation — Facility cleaning requires physical manipulation
Clean equipment or supplies. Clean facilities or sites.
#21407 · Supplemental · 30% automatable
Operate, drive, or explain the use of mechanical equipment in amusement parks, cruise ships, or other recreational facilities.
interpersonal — AI can script; live explanation and trust are human
Operate vehicles or material-moving equipment. Explain use of products or services.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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