← Risk register SOC 39-3091 · reviewed 2026-08-11

Amusement and Recreation Attendants

397,830 US workers · median $32,150/yr · Personal Care

EXPOSED

The core of this job — fastening ride restraints, checking rider height, handing out skates and clubs, sweeping the midway, breaking up horseplay in a pool queue — is embodied work in a crowded, unpredictable environment that today's robotics cannot touch. What is disappearing is the transactional half: ticket booths, wristband sales, equipment checkout logs, and reservation phone calls are already being absorbed by kiosks, QR scanning, and app-based booking, which is why headcount per venue keeps drifting down. No license protects the role and pay is near minimum wage, so operators cut positions the moment a turnstile or self-serve rental locker can cover them.

10-year outlook: The job persists because someone has to physically check the harness and pull the e-stop, but the ticketing and rental side keeps thinning, so expect fewer attendants per venue with the survivors concentrated in safety-critical ride and aquatic positions.

US employment, 2019–2025+17.7%
338,110397,830 workers

Dipped in 2020, then grew past where it started.

Median pay $23,370 → $32,150 +10.1% in real terms (nominal +37.6%, less ~25% US inflation over the period)

The job count is not the verdict

This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.

So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.

BLS projection, 2024–2034

+3.4% 392,300 → 405,500 on the projections basis

Growing, and only partly exposed

The BLS expects +3.4% more of these jobs by 2034, and at 47/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.

Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.

~102,400 openings a year on average, including replacing people who leave.

One email if this score changes. Watch as many occupations as you like from the same address — no account, and nothing is sent on a schedule, only when a verdict actually moves.

Also known as — 24 job titles this covers

Titles reported by people doing this work, from the US Department of Labor's O*NET survey. If your job title is here, this page is about your work even though the name doesn't match.

CaddyBarkerCaddieCallerRackerBoosterRinkmanSpielerRink RatStickmanTablemanAttendantCar UsherSkate HopBat PersonCue WorkerGolf CaddyPin ChaserPin SetterSnow MakerBall RackerBall WorkerCast MemberCurb Worker

Score — 47/100 resistance

Holding it up: embodiment (16/20). Weakest point: liability shield (3/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 13 + 16 + 3 + 8 + 7 = 47. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 13/20

Mixed — a routine tier and a judgment tier At 13 the split is real: physically latching a lap bar, spotting a kid who unbuckled mid-queue, and clearing a jammed bowling pinsetter resist automation entirely, but ticket sales, wristband issuance, rental checkout, and party booking — often a third or more of a shift — already run through kiosks and apps, which keeps this out of the 14-plus band.

Embodiment 16/20

Hands-on in uncontrolled environments 16 reflects a shift spent on your feet in weather, noise, and crowds — walking the load platform, hauling go-kart tires, chest-deep in a pool to reset lane lines, mopping a slide runout — in a space full of moving machinery and unpredictable children rather than a fixed workcell.

Liability shield 3/20

No licence, no signature requirement 3 is right because no state licenses ride attendants; lifeguard or CPR cards and operator-specific ride certifications are employer requirements, not statutory ones, and when a restraint fails the state ride inspector and the operator's insurer answer for it, not the person who pushed the dispatch button.

Trust premium 8/20

Some relationship component 8 covers the fact that regulars at a bowling alley or skating rink know their counter staff and birthday-party hosts get requested by name, but the ride you queue for is chosen for the ride — no guest picks a park because of which attendant is on the gate.

Judgment & accountability 7/20

Meaningful discretion 7 sits just into discretion because most of the day is checklist work — height sticks, restraint pull-tests, cycle counts — yet you personally call whether to refuse a rider, e-stop the ride, or pull an intoxicated guest, decisions made in seconds with a supervisor's radio backup rather than sole ownership.

Confidence: high · reviewed 2026-08-11 · how scoring works

What this job involves — and which parts are yours

The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.

AI already does these at usable quality

These still need a person

Active moats on the surviving side: embodiment, physical-presence

How to future-proof this job

Where to go deeper on what this job runs on: Toastmasters — public speaking practice at local clubs worldwide low · Coursera — customer service and client-facing skill courses free to audit · Coursera — active listening and communication skills free to audit · Coursera — communication and interpersonal skills free to audit

All 35 skills ranked by how many jobs they open →

Where this experience transfers — nothing clears the bar

No occupation passed every test: close enough to amusement and recreation attendants on skills and subject matter, at least 10 points more resistant, no big jump in training, no new licence, no pay cut, and not shrinking on its own. That happens for 223 of the 654 occupations here that aren't SAFE, and it is worth stating plainly rather than leaving the section off.

The usual reason is that exposure travels with the skill profile. The jobs most similar to yours tend to be exposed for the same reasons yours is, so the near neighbours don't clear the gap — and the ones that do are a different kind of work, not a transfer of what you already know. Read that as a limit of this method, not a verdict that you're stuck: it only compares whole occupations, and it cannot see specialisation, industry, or anything you'd bring that isn't in a federal skill survey.

Here is that claim on your own job rather than in the abstract. These are the three occupations closest to this one by skill and subject matter — the places the work would most naturally transfer — with what the register scores them:

Locker Room, Coatroom, and Dressing Room Attendants EXPOSED 40/100 (-7) · 78% overlap
Orderlies EXPOSED 56/100 (+9) · 78% overlap
Maids and Housekeeping Cleaners EXPOSED 54/100 (+7) · 77% overlap

That is the whole problem in three lines. The nearest work is not meaningfully safer, so there is no move here that trades a similar skill set for a better verdict. This is not us running out of ideas — it is what the neighbourhood looks like.

What would move this occupation up is the other direction, and on this page it's the more useful one.

What would move this back up — beyond any one person

The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 64/100, still EXPOSED.

4 specific changes that would raise this score
  • already happening task resistance +4

    Task-mix shift with no new law: once ticketing, rentals, waivers and queue management are fully kiosk/app-based, the residual job is the safety-judgment tier — deciding whether a rider's restraint seated correctly, whether a guest is impaired, whether to e-stop, crowd control during an evacuation. Headcount falls, but the surviving role scores higher on resistance. Watchable marker: job postings retitled 'ride safety operator' with certification listed as required rather than 'attendant'.

  • already happening liability shield +3

    Aquatic-facility rules already require certified lifeguards and Certified Pool Operators; if state health codes extend mandated ratios and named-certificate-holder-on-duty requirements to splash pads, wave features and inflatable water parks — a live topic in several state health department rulemakings after drowning clusters — the pool/waterpark slice of this SOC gains a real license floor.

  • plausible liability shield +6

    State amusement-ride safety codes moving from 'trained' to individually credentialed and named operators — e.g. New Jersey's Carnival-Amusement Ride Safety Act operator permit regime, Pennsylvania Act 121 rules, or California DOSH permanent-ride requirements — extended so that a named, board-certified (NAARSO/AIMS/CDC-style) attendant must sign the daily restraint-check and pre-open log and is personally citable for a failure. Insurer-driven version: amusement liability carriers (a thin market since a few carriers dominate) requiring a certified, named operator per ride cluster as a condition of coverage after a high-profile restraint fatality.

  • plausible judgment accountability +4

    Operator-authority codification: state rules or ASTM F770/F2461 practice updates making the on-ride attendant's refusal-to-load and emergency-stop decision explicitly non-overridable by a supervisor or throughput system, with the decision logged under that person's credential. This converts an informal call into an owned one and is the kind of clause that appears after NTSB-style ride investigations.

The limit. Trust premium is omitted deliberately: buyers of amusement admission do not choose a venue because a human handed them skates, and there is no visible willingness-to-pay mechanism to build on. Even with full certification, this remains a near-minimum-wage role whose count per venue is set by required safety ratios rather than demand — regulation can protect the position's existence and defensibility without raising its pay or headcount.

These are conditions, not forecasts — what would have to happen, not what will. Specific rules, cases and bills are named so you can go and check whether they exist and where they stand; verify before relying on any of them. Nothing here is legal or financial advice.

Where this work is, and what it pays there

BLS metro figures for 368 areas. The verdict above does not change by city — the rubric judges what the work involves, not where it happens — but pay and headcount do, and the national median hides a very wide range.

Most of these jobs

Los Angeles-Long Beach-Anaheim, CA 22,410 $37,630 +17%
Orlando-Kissimmee-Sanford, FL 20,030 $30,940 -4%
New York-Newark-Jersey City, NY-NJ 18,420 $35,910 +12%
Washington-Arlington-Alexandria, DC-VA-MD-WV 9,590 $38,000 +18%
Chicago-Naperville-Elgin, IL-IN 9,340 $34,170 +6%
Dallas-Fort Worth-Arlington, TX 8,490 $28,080 -13%
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 8,290 $32,220 +0%
Miami-Fort Lauderdale-West Palm Beach, FL 7,420 $31,410 -2%

Best paid

Kahului-Wailuku, HI 710 $49,020 +52%
Anchorage, AK 170 $45,780 +42%
San Jose-Sunnyvale-Santa Clara, CA 2,860 $42,850 +33%

Percentages are against this occupation's national median of $32,150. Counts are jobs in that metro, not vacancies. Metros where the BLS suppressed the cell are absent rather than shown as zero.

Who is actually doing this — nobody, on the record

We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.

That is worth saying out loud next to a score of 47. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.

Read that as a gap in the reporting we can see, not proof of absence — the dispatch runs on English-language feeds and misses plenty. If you know of a case, tell us, or add a field report from inside the job.

Quick take — do you do this job?

Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.

Self-reported and unverified — a sentiment signal, not a survey. One response per person per occupation; you can change your answer.

Field reports — what people say has changed

No field reports yet. A written account takes a paragraph rather than a tap, goes to an editor before it appears, and is the one thing on this page the rubric cannot produce on its own.

File a field report

Concrete beats general: a tool that arrived, a task that moved, a headcount decision you watched happen. Don't include anything that identifies you or your employer if that would put you at risk.

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