AI exposure by occupation, O*NET 43-3041.00
Will AI replace Gambling Cage Workers?
Gambling Cage Workers: AI can already handle 14 of 17 tasks; the work mostly needs a standard-tier model.
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Every task, scored
The 17 tasks O*NET 30.3 lists for Gambling Cage Workers, from most to least exposed. 14 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Verify accuracy of reports, such as authorization forms, transaction reconciliations, or exchange summary reports. | Estimated | Efficient | |
| Follow all gaming regulations. | Estimated | Standard | |
| Prepare bank deposits, balancing assigned funds as necessary. | Estimated | Efficient | |
| Cash checks and process credit card advances for patrons. | Estimated | Efficient | |
| Supply currency, coins, chips, or gaming checks to other departments as needed. | Estimated | Efficient | |
| Prepare reports, including assignment of company funds or recording of department revenues. | Estimated | Efficient | |
| Convert gaming checks, coupons, tokens, or coins to currency for gaming patrons. | Estimated | Efficient | |
| Record casino exchange transactions, using cash registers. | Estimated | Efficient | |
| Count funds and reconcile daily summaries of transactions to balance books. | Estimated | Efficient | |
| Determine cash requirements for windows and order all necessary currency, coins, or chips. | Estimated | Frontier | |
| Establish new computer accounts. | Estimated | Frontier | |
| Perform removal and rotation of cash, coin, or chip inventories as necessary. | Estimated | Efficient | |
| Sell gambling chips, tokens, or tickets to patrons or to other workers for resale to patrons. | Estimated | Frontier | |
| Provide customers with information about casino operations. | Estimated | Standard | |
| Provide assistance in the training and orientation of new cashiers. | Estimated | Efficient | |
| Maintain confidentiality of customers' transactions. | Estimated | Efficient | |
| Maintain cage security. | Estimated | Efficient |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 17 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 17 of 17. 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
A standard-tier model or lower covers 83% 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
- 14,430
- Median annual wage
- $37,580
- Middle half of earners
- $34,510 to $44,680
- Projected change, 2024 to 2034
- -5.0%
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 Change Persons and Booth Cashiers 78% skill overlap, about 8 months to move Exposure72
- Gambling Dealers 71% skill overlap, about 11 months to move Exposure37
- First-Line Supervisors of Gambling Services Workers 71% skill overlap, about 11 months to move Exposure49
- Gambling Managers 69% skill overlap, about 11 months to move Exposure68
- Gambling and Sports Book Writers and Runners 68% skill overlap, about 12 months to move Exposure35
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Gambling Cage Workers and AI
Will AI replace Gambling Cage Workers?
AI already handles 14 of the 17 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 66 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 -5.0% from 2024 to 2034.
What is the AI exposure of Gambling Cage Workers?
66 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. 0 of the 17 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 17 are estimated from each task's O*NET work activity.
Which Gambling Cage Workers tasks can AI already do?
The tasks with the highest exposure are: Verify accuracy of reports, such as authorization forms, transaction reconciliations, or exchange summary reports; Follow all gaming regulations; Prepare bank deposits, balancing assigned funds as necessary. They are three of the 14 tasks that reach 60 or more.
What AI model tier does this role need?
A standard-tier model or lower covers 83% 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 Cage Workers, and what do they earn?
14,430 people in the United States, with a median annual wage of $37,580 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -5.0% 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 Cage Workers. 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-cage-workers
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