{
  "source": "Cooked Index — occupational AI risk register",
  "page": "https://cookedindex.com/jobs/entertainment-attendants-and-related-workers-all-other/",
  "methodology": "https://cookedindex.com/methodology",
  "notice": "Verdicts are re-examined as evidence accumulates. Re-fetch before relying on this; the page above always carries the current score.",
  "scored_at": "2026-08-11",
  "model": "claude-opus-5",
  "occupation": {
    "title": "Entertainment Attendants and Related Workers, All Other",
    "soc_code": "39-3099",
    "category": "Personal Care",
    "us_employment": 7060,
    "median_annual_wage": 32640
  },
  "verdict": "EXPOSED",
  "risk_resistance": 41,
  "contested": false,
  "near_boundary": false,
  "dimensions": {
    "task_resistance": 12,
    "embodiment": 15,
    "liability_shield": 2,
    "trust_premium": 7,
    "judgment_accountability": 5
  },
  "reasoning": {
    "task_resistance": "Ticket scanning, queue metering and cash handling are already gone to turnstiles and phone barcodes, but the other half of the shift — physically resetting bowling pins that jam, walking a lost kid to guest services, sweeping a midway for spilled drinks, reading a crowd that's getting rowdy — has no digital substitute, which lands it mid-band rather than lower.",
    "embodiment": "The work is done standing on a game floor, ride platform or arcade midway with moving machinery, wet surfaces and thousands of strangers per shift, and the unpredictability — a guest who faints in line, a stuck harness, a fight breaking out — is exactly what keeps this at 15 instead of a controlled-environment 8.",
    "liability_shield": "No state licence, no exam, no certification gates the job; the ride certificate or amusement inspection sits with the operator company and the state inspector, and an injured guest sues the venue's insurer, not the attendant who was standing at the gate.",
    "trust_premium": "Guests do form a moment of rapport — the attendant who upgrades a kid's prize or remembers the regular league bowler — but interactions last under two minutes and no one chooses a venue because of which attendant is working, so this sits at 7 rather than in stylist or bartender territory.",
    "judgment_accountability": "Decisions are bounded by posted rules and an on-shift supervisor: height and rider restrictions, prize redemption tables, when to hit the emergency stop, when to call security — real calls, but the escalation path is one radio click away, which is why this is a 5 and not a 10."
  },
  "rationale": "This catch-all bucket covers venue and attraction floor staff — taking tickets, staging guests, operating rides and games, monitoring crowds, resetting equipment, answering questions on the floor. Almost none of that is text or screen work AI can do, so language models barely touch it; the real threat is self-service kiosks, mobile ticketing, QR scanning and automated ride controls that have already eliminated the transactional half of the job. What remains is physical presence in a crowded, unpredictable space: nobody has a robot that clears a stuck ride, calms a panicked child, or spots the guest who's had too much to drink.",
  "outlook": "Ticketing and admissions roles keep shrinking as scanning and kiosks spread, but safety-critical, hands-on floor positions at attractions and venues persist through the decade at flat headcount and low pay.",
  "what_would_raise_it": {
    "levers": [
      {
        "dimension": "embodiment",
        "change": "Crowd density and unscripted human behavior in venues stays the binding constraint: a stuck restraint, a fallen guest, a fight in a queue line all require a body that can improvise. Scores rise only if state amusement-ride codes (e.g., NJ, PA, CA DOSH ride safety units) formalize minimum staffed-attendant ratios per ride or per occupancy load, as several already do for water attractions — turning presence from a staffing choice into a code requirement.",
        "plausibility": "plausible",
        "would_add": 3
      },
      {
        "dimension": "liability_shield",
        "change": "State ride-operator certification with named personal accountability — NAARSO/AIMS operator credentials becoming a licensure prerequisite in state ride codes rather than a voluntary industry cert, with the certified operator's signature required on daily pre-opening inspection logs. Post-incident, this is already the document regulators subpoena; making the signature statutorily personal is the change to watch for after a high-profile fatality.",
        "plausibility": "plausible",
        "would_add": 5
      },
      {
        "dimension": "judgment_accountability",
        "change": "Task-mix shift: with ticketing and access control fully automated, the residual role is the go/no-go call — refusing a rider on height, intoxication or medical grounds, and pulling an attraction from service. If venue insurers (the amusement lines at Allianz, Beazley) condition coverage on a documented human stop-ride authority rather than automated sensor trip alone, the remaining job is defined by that authority.",
        "plausibility": "plausible",
        "would_add": 5
      },
      {
        "dimension": "task_resistance",
        "change": "Same two-tier collapse: kiosks and mobile scanning already took the transactional tier, so what's measured as remaining work is de-escalation, medical first response and incident handling. Wider adoption of mandated crowd-manager training (Massachusetts' crowd manager rule after station nightclub fire; NFPA 101 crowd manager requirements) shifts the measured task mix toward the tier no system performs.",
        "plausibility": "already happening",
        "would_add": 3
      }
    ],
    "ceiling_note": "Trust premium has no realistic route — guests do not choose a venue because a human takes the ticket, and this is a low-wage, high-turnover bucket where operators cut staffing wherever code permits. Even with every lever, headcount pressure is a staffing-ratio question, not a skill-protection question: the job survives per venue but not per guest served."
  },
  "adjudication": null,
  "employment_history": {
    "points": [
      {
        "y": 2017,
        "emp": 5390,
        "wage": 24200
      },
      {
        "y": 2018,
        "emp": 5480,
        "wage": 24290
      },
      {
        "y": 2019,
        "emp": 4500,
        "wage": 26460
      },
      {
        "y": 2020,
        "emp": 3900,
        "wage": 27230
      },
      {
        "y": 2021,
        "emp": 4290,
        "wage": 24170
      },
      {
        "y": 2022,
        "emp": 4930,
        "wage": 27260
      },
      {
        "y": 2023,
        "emp": 7320,
        "wage": 33280
      },
      {
        "y": 2024,
        "emp": 8060,
        "wage": 34550
      },
      {
        "y": 2025,
        "emp": 7060,
        "wage": 32640
      }
    ],
    "from": 2017,
    "to": 2025,
    "change_pct": 31,
    "comparable_from": 2019,
    "spans_soc_revision": true
  },
  "pivots": [],
  "license": "https://cookedindex.com/terms"
}