AI exposure: First-Line Supervisors of Gambling Services Workers
Directly supervise and coordinate activities of workers in assigned gambling areas. May circulate among tables, observe operations, and ensure that stations and games are covered for each shift. May verify and pay off jackpots. May reset slot machines after payoffs and make repairs or adjustments to slot machines or recommend removal of slot machines for repair. May plan and organize activities and services for guests in hotels/casinos.
Reading this score
computed29.6% of this occupation's weighted task load is exposed, which puts First-Line Supervisors of Gambling Services Workers at the 53th percentile of 923 occupations. The capability is largely there. Its average task scores 2.1 out of 4 on what a current system can produce, and the frictions that hold other jobs in place are comparatively weak here.
What holds the line here is context. Across this occupation's 30 tasks it averages 1.68 out of 3, the highest of the five friction dimensions. In plain terms, the work depends on knowledge the model cannot hold. Much of this job runs on things that were never written down: what this particular organisation does, what happened last week, what the person across the table actually meant. That context is the barrier, and it erodes as systems are given more access.
The most exposed thing this job does is Answer patrons' questions about gaming machine functions and payouts, at 80.0%. The least is Clean and maintain slot machines and surrounding areas, at 0.0%. A gap of 80.0% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within personal care and service occupations, this one is more exposed than most. The median across the 31 roles in the group is 23.4%, and only 9 of them score higher than this. Occupational families are not uniform, and the spread inside them is often wider than the gap between them.
What would move this score. Of 30 tasks, 13 are currently banded exposed, 5 assisted and 12 untouched. For that distribution to shift materially would take systems being given deeper access to the organisation's own records and history, which is already happening. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Task by task
30 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Answer patrons' questions about gaming machine functions and payouts. | 80.0% | 20.0% | 0.0% | 4.37 | exposed |
| Record the specifics of malfunctioning machines and document malfunctions needing repair. | 73.3% | 26.7% | 0.0% | 4.34 | exposed |
| Determine how many gaming tables to open each day and schedule staff accordingly. | 66.7% | 33.3% | 0.0% | 4.05 | exposed |
| Perform paperwork required for monetary transactions. | 60.0% | 40.0% | 0.0% | 4.63 | exposed |
| Respond to and resolve patrons' complaints. | 50.0% | 25.0% | 25.0% | 4.61 | exposed |
| Establish policies on types of gambling offered, odds, or extension of credit. | 50.0% | 25.0% | 25.0% | – | exposed |
| Review operational expenses, budget estimates, betting accounts, or collection reports for accuracy. | 50.0% | 25.0% | 25.0% | 3.20 | exposed |
| Evaluate workers' performance and prepare written performance evaluations. | 46.7% | 40.8% | 12.5% | 4.01 | exposed |
| Explain and interpret house rules, such as game rules or betting limits, for patrons. | 45.0% | 30.0% | 25.0% | 4.50 | exposed |
| Report customer-related incidents occurring in gaming areas to supervisors. | 45.0% | 30.0% | 25.0% | 4.29 | exposed |
| Attach "out of order" signs to malfunctioning machines, and notify technicians when machines need to be repaired or removed. | 45.0% | 30.0% | 25.0% | 4.18 | exposed |
| Train, supervise, schedule, and evaluate workers. | 34.4% | 28.1% | 37.5% | – | exposed |
| Maintain familiarity with the games at a facility and with strategies or tricks used by cheaters at such games. | 33.3% | 16.7% | 50.0% | 4.52 | exposed |
| Record, issue receipts for, and pay off bets. | 23.3% | 26.7% | 50.0% | 4.24 | assisted |
| Observe gamblers' behavior for signs of cheating, such as marking, switching, or counting cards, and notify security staff of suspected cheating. | 21.7% | 28.3% | 50.0% | 4.76 | assisted |
| Enforce safety rules, and report or remove safety hazards as well as guests who are underage, intoxicated, disruptive, or cheating. | 21.7% | 28.3% | 50.0% | 4.15 | assisted |
| Monitor game operations to ensure that house rules are followed, that tribal, state, and federal regulations are adhered to, and that employees provide prompt and courteous service. | 16.7% | 33.3% | 50.0% | 4.79 | assisted |
| Monitor payment of hand-delivered jackpots to ensure promptness. | 16.7% | 33.3% | 50.0% | 4.51 | assisted |
| Supervise the distribution of complimentary meals, hotel rooms, discounts, or other items given to players, based on length of play and amount bet. | 16.7% | 8.3% | 75.0% | 4.29 | untouched |
| Monitor stations and games and move dealers from game to game to ensure adequate staffing. | 13.8% | 23.8% | 62.5% | 3.83 | untouched |
| Monitor functioning of slot machine coin dispensers and fill coin hoppers when necessary. | 13.8% | 23.8% | 62.5% | 4.30 | untouched |
| Greet customers and ask about the quality of service they are receiving. | 13.3% | 11.7% | 75.0% | 4.61 | untouched |
| Direct workers compiling summary sheets for each race or event to record amounts wagered and amounts to be paid to winners. | 13.3% | 11.7% | 75.0% | 3.88 | untouched |
| Interview and hire workers. | 12.5% | 25.0% | 62.5% | – | untouched |
| Establish and maintain banks and table limits for each game. | 10.0% | 15.0% | 75.0% | 4.49 | untouched |
| Reset slot machines after payoffs. | 10.0% | 15.0% | 75.0% | 4.45 | untouched |
| Monitor patrons for signs of compulsive gambling, offering assistance if necessary. | 6.7% | 18.3% | 75.0% | 4.31 | untouched |
| Perform minor repairs or make adjustments to slot machines, resolving problems such as machine tilts and coin jams. | 0.0% | 0.0% | 100.0% | 4.55 | untouched |
| Exchange currency for customers, converting currency into requested combinations of bills and coins. | 0.0% | 0.0% | 100.0% | 4.12 | untouched |
| Clean and maintain slot machines and surrounding areas. | 0.0% | 0.0% | 100.0% | 3.76 | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean. 3 task(s) lacked a usable O*NET weight and are shown but excluded from the weighting.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 2.08 | 0-4 |
| Embodiment | 1.30 | 0-3 |
| Presence | 1.57 | 0-3 |
| Accountability | 1.15 | 0-3 |
| Context | 1.68 | 0-3 |
| Verification cost | 1.28 | 0-3 |
What this means in practice
Where most of a role's weighted task load is exposed, the work that survives is usually the part of the job nobody wrote into the job description: deciding what should be produced rather than producing it, and being answerable for the result. The tasks lowest on this page are a better guide to where to spend your time than any general advice about the future of work.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.