EXPOSED
This catch-all bucket covers casino floor attendants, keno and bingo staff, sports book writers, and slot/kiosk support — people who take wagers, verify and pay out tickets, watch patrons, and keep games running on a physical floor. Language AI barely touches the job, but the tasks are being eaten from a different direction: self-service betting kiosks, mobile sportsbooks, electronic table games, and ticket-in/ticket-out slots already absorb the wager-taking and payout work that once needed a human. What survives is the embodied floor presence — verifying age and identity, resolving disputed hands and payouts, spotting intoxicated or self-excluded patrons, and being the licensed human the gaming board holds responsible.
Dipped in 2020, then grew past where it started.
Median pay $28,300 → $36,310 +2.6% in real terms
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
-0.6% 16,100 → 16,000 on the projections basis
Shrinking, but not obviously because of AI
The BLS projects -0.6% by 2034, but at 46/100 this work is only moderately exposed — not the profile of a job current AI can simply do. Occupations shrink for many reasons, and the score does not point at automation as this one's cause.
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.
~2,600 openings a year on average, including replacing people who leave.
ShillGamblerPit ClerkIdentifierKeno ClerkBingo ClerkBingo UsherCard PlayerCard SellerChip MuckerChip PersonDice PersonBingo CallerBingo CheckerLottery ClerkGame AttendantBingo AttendantFloor AttendantDice Table PersonPoker Prop PlayerTattoo IdentifierTattoo TechnicianCardroom AttendantProposition Player
The BLS uses Gambling Service Workers, All Other for work that doesn't fit any named occupation, so it covers roles that have little in common with each other. Two consequences worth knowing before you read anything below:
Holding it up: embodiment . Weakest point: judgment & accountability .
Mixed — a routine tier and a judgment tier Writing keno tickets, taking sports wagers, and paying out jackpots are already done by kiosks and mobile apps, but hand-pay verification on a jammed slot, escorting a self-excluded patron off the floor, and calling a bingo session in a room of 300 people still need a body on the carpet — hence 11 rather than a low score, and not higher because the transaction half of the job has a working machine substitute today.
Hands-on in uncontrolled environments You are on your feet for a full shift walking a floor with fixed-position machines, opening bill validators and hoppers, carrying cash cassettes and hand-pay envelopes, and physically intervening with intoxicated or arguing patrons — uncontrolled in the sense that the people are unpredictable, though the venue itself is climate-controlled and mapped, which keeps it at 13 instead of the 17-plus of outdoor or industrial work.
Certification preferred, not legally required Most states require a gaming board work permit or non-key employee licence with fingerprinting and background check, and it can be revoked for a payout error or an underage wager — but that badge is a right-to-work clearance, not a professional credential with independent legal exposure like a dealer-supervisor or key licensee, so it sits at 8.
Executes defined procedures on defined inputs Payout thresholds, W-2G triggers, ID-check ages, and dispute-escalation rules are all written into the property's internal controls filed with the gaming commission, and anything genuinely ambiguous — a contested hand, a suspected advantage player, a machine malfunction claim — goes to a supervisor or surveillance rather than you, putting real but bounded discretion at 6.
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.
Your task mix speaks to task resistance (11/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (8/20) is whether the law requires a licensed human to sign. Trust premium (8/20) is whether buyers specifically pay for a person. Judgment and accountability (6/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 22 of this occupation's 46 points (48%).
Embodiment (13/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
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 63/100, still EXPOSED.
Board-mandated documented intervention protocols where the floor attendant's own written call — cut off, eject, file a self-exclusion breach report, void a disputed wager — becomes the auditable record of record in dispute adjudication, as sports-betting dispute resolution rules in NJ and Colorado already require operators to produce.
Genuine two-tier job: as kiosks and mobile books absorb wager entry and ticket redemption, the residual role concentrates on disputed-payout adjudication, ID/age challenge, self-exclusion recognition and intoxication judgment. Task-mix shift alone raises the share of the day AI cannot do, without any new rule — visible already where casinos cut writer headcount but keep supervisory floor staff.
State gaming regulations that require a licensed, badged employee to physically witness and sign the hand-pay/jackpot slip and the W-2G above a threshold — and lower that threshold or extend it to kiosk-issued TITO redemptions. The opposite is currently in motion (the IRS/Treasury pressure to raise the $1,200 W-2G threshold to $5,000 reduces mandated human touches), so this rises only if a board like Nevada's GCB or NJ DGE writes the countersignature requirement independent of the tax threshold.
Responsible-gaming statutes that name an individual licensed employee — not just the operator — as the person who must log and act on a self-exclusion match or visible-intoxication observation, with personal license sanction for failure. Elements of this exist in Pennsylvania and Massachusetts operator rules and in Ontario's iGaming standards; extending personal licensee duty to floor staff rather than only compliance officers is the specific change to watch.
Continued buyer preference for human-hosted play — live-dealer streaming studios and staffed bingo/keno rooms marketed against pure RNG product. This is a real revenue line (Evolution's live-dealer growth), but note it mostly benefits dealers (39-3011), not this catch-all bucket; the credible slice here is staffed high-limit and VIP host-adjacent floor service.
Rules requiring physical human presence for specific acts — in-person ID inspection for account creation or large cash-out under AML/Title 31 currency transaction reporting, and in-person-only self-exclusion enrollment. Where state law keeps registration on-property rather than remote-KYC, the embodied step cannot be automated away.
The limit. Even with every lever, this bucket is capped: the underlying volume driver is wagering migrating to mobile and kiosk channels, which shrinks headcount regardless of how much liability attaches to the remaining humans. Score can rise while employment falls.
| Minneapolis-St. Paul-Bloomington, MN-WI | 1,450 | $30,780 -15% |
| Las Vegas-Henderson-North Las Vegas, NV | 1,400 | $40,520 +12% |
| Los Angeles-Long Beach-Anaheim, CA | 440 | $36,040 -1% |
| Riverside-San Bernardino-Ontario, CA | 250 | $38,140 +5% |
| San Diego-Chula Vista-Carlsbad, CA | 240 | $42,420 +17% |
| Shreveport-Bossier City, LA | 220 | $29,640 -18% |
| Anchorage, AK | 210 | $38,010 +5% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 200 | $37,740 +4% |
| Gulfport-Biloxi, MS | 80 | $53,770 +48% |
| Baltimore-Columbia-Towson, MD | 100 | $51,450 +42% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 50 | $48,950 +35% |
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 46. 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.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.