Entertainment and Recreation Managers, Except Gambling
In short: today's best AI models could do about 47% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 52% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 48% of the time, stays with people.
Plan, direct, or coordinate entertainment and recreational activities and operations of a recreational facility, including cruise ships and parks.
37,980 people do this job in the US. $79,520 a year.
A typical 40-hour week
Not yet reviewed task by task- AI could take on19 h
- A person checks AI's work0 h
- Desk work AI can't do yet2 h
- Stays with people19 h
Entertainment and Recreation Managers, Except Gambling, now: of a 40-hour week, AI could take on 19 hours, 0 hours become checking its work, 2 hours are desk work it can't do yet, and 19 hours stay with people.
The largest pieces: Plan programs of events or schedules of activities (about 6 h); Write budgets to plan recreational activities or programs (about 3 h); Calculate and record department expenses and revenue (about 2 h).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 52%
- 27%
- 21%
Anthropic's data does not cover this job.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 3%. With Claude Mythos Preview (early), measured in April 2026, 27%. Today's estimate: 47%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
Of the Claude.ai conversations Anthropic sampled and tied to a work task, 0.064% went to this job's tasks in May 2026, the 208th largest of the 447 jobs that showed up at all; 1 of its 17 tasks showed up. Within each of Anthropic's methods, never across a change: 0.00059% to 0.00042% (released February and March 2025); none to 0.00083% (August 2025 to February 2026); 0.057% to 0.064% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.00059% | 708 of 708 | 1 of 17 |
| Released March 2025 | 0.00042% | 703 of 703 | 1 of 17 |
| The week of Aug 4, 2025 (released September 2025) | none | n/a | 0 of 17 |
| The week of Nov 13, 2025 (released January 2026) | 0.00067% | 672 of 672 | 1 of 17 |
| The week of Feb 5, 2026 (released March 2026) | 0.00083% | 672 of 677 | 1 of 17 |
| April 2026 (released June 2026) | 0.057% | 216 of 434 | 1 of 17 |
| May 2026 (released June 2026) | 0.064% | 208 of 447 | 1 of 17 |
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates 26% of this job's working time as physical work. For 15% of the working time, a robot has been shown doing most of the task somewhere: 8% in a purpose-built cell, 7% in a structured facility. 0.23 of 3, the 418th highest of the 923 jobs.
- Not physical 74%
- No robot shown 11%
- In a purpose-built cell 8%
- In a structured facility 7%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
The tasks
Sorted by . 17 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Write and present strategies for recreational facility programming using customer or employee data.Done more than yearly by most who do it. | 20% | 6.7 h3.3 h to 2.5 work days | Stays with people | |
| Plan programs of events or schedules of activities.Done more than monthly by most who do it. | 19% | 3.3 h50 min to 1.3 work days | 80%Half by now | |
| Plan, organize, or lead group activities for customers, such as exercise routines, athletic events, or arts and crafts.Done more than weekly by most who do it. Robots: no robot shown. Anthropic's rating. | 13% | 1.7 h25 min to 5 h | Stays with people | |
| Write budgets to plan recreational activities or programs.Done more than monthly by most who do it. | 8% | 3.3 h50 min to 6.7 h | 91%Half by now | |
| Calculate and record department expenses and revenue.Done more than monthly by most who do it. | 6% | 1.3 h25 min to 3.3 h | 99%Half by now | |
| Assign tasks and work hours to staff.Done daily by most who do it. | 6% | 50 min25 min to 1.7 h | 100%Half by now | |
| Train workers in company procedures or policy.Done more than monthly by most who do it. | 5% | 1.7 h25 min to 3.3 h | Stays with people | |
| Talk to customers to convey information about events or activities.Done several times a day by most who do it. | 4% | 13 min4 min to 25 min | 100%Half by now | |
| Resolve customer complaints regarding worker performance or services rendered.Done more than weekly by most who do it. | 4% | 38 min13 min to 1.3 h | 100%Half by now | |
| Talk to coworkers using electronic devices, such as computers and radios.Done hourly or more by most who do it. | 3% | 7 min3 min to 17 min | 100%Half by now | |
| Interview and hire associates to fill staff vacancies.Done more than yearly by most who do it. | 3% | 2.1 h1.3 h to 4.2 h | Stays with people | |
| Explain rules and regulations of facilities and entertainment attractions to customers.Done more than weekly by most who do it. | 2% | 13 min4 min to 33 min | 100%Half by now |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Entertainment and Recreation Managers, Except Gambling is within reach of AI now?
- An estimated 47% of the working time is within reach of AI models now and 52% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Entertainment and Recreation Managers, Except Gambling come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Plan programs of events or schedules of activities (80% of the task's time now, 100% by the end of 2028); Write budgets to plan recreational activities or programs (91% of the task's time now, 100% by the end of 2028); and Calculate and record department expenses and revenue (99% of the task's time now).
- Which tasks of Entertainment and Recreation Managers, Except Gambling stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Write and present strategies for recreational facility programming using customer or employee data; Plan, organize, or lead group activities for customers, such as exercise routines, athletic events, or arts and crafts; and Train workers in company procedures or policy. Together such tasks are about 48% of the working time.
- Do people already use AI for the work of Entertainment and Recreation Managers, Except Gambling?
- In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.064% went to this job's tasks, the 208th largest share of the 447 jobs that showed up; 1 of its 17 tasks appeared. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Entertainment and Recreation Managers, Except Gambling?
- Anthropic's robot exposure rating (September 2026) finds 26% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 15% of the working time, 7% in a structured facility. Its index is 0.23 of 3. One example: Avidbots Neo for "clean equipment and areas of amusement park, cruise ship, or other recreational facility". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
- How is this estimated?
- From the 17 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
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