Will AI replace First-Line Supervisors of Gambling Services Workers?
Work in First-Line Supervisors of Gambling Services Workers sits in the in-between: AI reaches some of it (~43% in theory) but is only measured doing about 0% today — part human, part machine.
O*NET-SOC 39-1013
How your 22 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~43%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
Don't trust a single AI-risk score here
For this job, the signals disagree sharply. AI's theoretical reach looks moderate (~43%), but real-world use is only ~0%, and how much AI "can" do shifts wildly by model — one 2026 study found the share of "high-risk" jobs swung 2.7% to 51.5% just by changing which AI did the rating. This page shows the spread instead of pretending there's one number.
See all 22 tasks, ratedBased on real task-level AI scores — click to collapse
- Perform paperwork required for monetary transactions.
- Explain and interpret house rules, such as game rules or betting limits, for patrons.
- Establish and maintain banks and table limits for each game.
- Answer patrons' questions about gaming machine functions and payouts.
- Record the specifics of malfunctioning machines and document malfunctions needing repair.
- Report customer-related incidents occurring in gaming areas to supervisors.
- Evaluate workers' performance and prepare written performance evaluations.
- 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.
- Respond to and resolve patrons' complaints.
- Maintain familiarity with the games at a facility and with strategies or tricks used by cheaters at such games.
- Supervise the distribution of complimentary meals, hotel rooms, discounts, or other items given to players, based on length of play and amount bet.
- Observe gamblers' behavior for signs of cheating, such as marking, switching, or counting cards, and notify security staff of suspected cheating.
- Greet customers and ask about the quality of service they are receiving.
- Perform minor repairs or make adjustments to slot machines, resolving problems such as machine tilts and coin jams.
- Monitor payment of hand-delivered jackpots to ensure promptness.
- Reset slot machines after payoffs.
- Monitor patrons for signs of compulsive gambling, offering assistance if necessary.
- Attach "out of order" signs to malfunctioning machines, and notify technicians when machines need to be repaired or removed.
- Enforce safety rules, and report or remove safety hazards as well as guests who are underage, intoxicated, disruptive, or cheating.
- Exchange currency for customers, converting currency into requested combinations of bills and coins.
- Monitor stations and games and move dealers from game to game to ensure adequate staffing.
- Clean and maintain slot machines and surrounding areas.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.