AI exposure by occupation, O*NET 39-3011.00
Will AI replace Gambling Dealers?
Gambling Dealers: AI can already handle 3 of 21 tasks; the work mostly needs an efficient-tier model.
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Every task, scored
The 21 tasks O*NET 30.3 lists for Gambling Dealers, from most to least exposed. 3 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Compute amounts of players' wins or losses, or scan winning tickets presented by patrons to calculate the amount of money won. | Estimated | Standard | |
| Receive, verify, and record patrons' cash wagers. | Estimated | Efficient | |
| Greet customers and make them feel welcome. | Observed | Efficient | |
| Train new dealers. | Estimated | Efficient | |
| Pay winnings or collect losing bets as established by the rules and procedures of a specific game. | Estimated | Efficient | |
| Exchange paper currency for playing chips or coin money. | Estimated | Efficient | |
| Check to ensure that all players have placed bets before play begins. | Estimated | Efficient | |
| Deal cards to house hands, and compare these with players' hands to determine winners, as in black jack. | Estimated | Efficient | |
| Stand behind a gaming table and deal the appropriate number of cards to each player. | Estimated | Efficient | |
| Apply rule variations to card games such as poker, in which players bet on the value of their hands. | Estimated | Efficient | |
| Conduct gambling games, such as dice, roulette, cards, or keno, following all applicable rules and regulations. | Estimated | Efficient | |
| Work as part of a team of dealers in games, such as baccarat or craps. | Estimated | Efficient | |
| Supervise staff and monitor gambling tables to ensure security of the game. | Estimated | Efficient | |
| Start and control games and gaming equipment, and announce winning numbers or colors. | Estimated | Efficient | |
| Open and close cash floats and game tables. | Estimated | Efficient | |
| Answer questions about game rules and casino policies. | Estimated | Efficient | |
| Seat patrons at gaming tables. | Estimated | Efficient | |
| Prepare collection reports for submission to supervisors. | Estimated | Efficient | |
| Participate in games for gambling establishments to provide the minimum complement of players at a table. | Estimated | Efficient | |
| Refer patrons to gaming cashiers to collect winnings. | Estimated | Efficient | |
| Inspect cards and equipment to be used in games to ensure that they are in good condition. | Estimated | Efficient |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 1 of 21 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 20 of 21. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
An efficient-tier model or lower covers 95% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 83,910
- Median annual wage
- $34,320
- Middle half of earners
- $25,810 to $49,180
- Projected change, 2024 to 2034
- -0.6%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Gambling Managers 75% skill overlap, about 9 months to move Exposure68
- Gambling Cage Workers 71% skill overlap, about 11 months to move Exposure66
- First-Line Supervisors of Gambling Services Workers 71% skill overlap, about 11 months to move Exposure49
- Gambling and Sports Book Writers and Runners 70% skill overlap, about 11 months to move Exposure35
- Gambling Change Persons and Booth Cashiers 70% skill overlap, about 11 months to move Exposure72
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Gambling Dealers and AI
Will AI replace Gambling Dealers?
AI already handles 3 of the 21 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 37 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by -0.6% from 2024 to 2034.
What is the AI exposure of Gambling Dealers?
37 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 1 of the 21 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 20 are estimated from each task's O*NET work activity.
Which Gambling Dealers tasks can AI already do?
The tasks with the highest exposure are: Compute amounts of players' wins or losses, or scan winning tickets presented by patrons to calculate the amount of money won; Receive, verify, and record patrons' cash wagers; Greet customers and make them feel welcome. They are the tasks that reach 60 or more.
What AI model tier does this role need?
An efficient-tier model or lower covers 95% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Gambling Dealers, and what do they earn?
83,910 people in the United States, with a median annual wage of $34,320 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -0.6% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Gambling Dealers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/gambling-dealers
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