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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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The AI Resilience Report is a project from CareerVillage®, a registered 501(c)(3) nonprofit.
Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Gambling Change Persons and Booth Cashiers are less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
The career of Gambling Change Persons and Booth Cashiers is labeled as "Not Very Resilient" because many routine tasks like counting money and handling transactions are increasingly being taken over by machines and software. Automated kiosks and cage automation systems are replacing the need for humans in these simple tasks.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is not very resilient
The career of Gambling Change Persons and Booth Cashiers is labeled as "Not Very Resilient" because many routine tasks like counting money and handling transactions are increasingly being taken over by machines and software. Automated kiosks and cage automation systems are replacing the need for humans in these simple tasks.
Read full analysisAnalysis of Current AI Resilience
Gambling Cashier
Updated Quarterly • Last Update: 5/14/2026

If you're worried about a future cage cashier job, the honest answer is that automation is steadily nibbling at the role—but it's happening more slowly than the headlines suggest. The casino cage handles cash-to-chip exchanges, credit, and compliance paperwork, and the Bureau of Labor Statistics projects overall employment of gambling services workers will show little or no change from 2024 to 2034, with roughly 21,800 openings each year on average, mostly to replace workers who transfer to other jobs or retire [1]. Today, most "automation" is really augmentation: ticket-in/ticket-out kiosks, cashless wallets, and AI-driven cash management.
A new KPMG/UNLV "State of AI in Gaming 2026" benchmark [2] found land-based operators lag online operators on AI maturity, scoring 39 versus 54, largely because of the challenge of integrating AI into legacy systems and complex physical environments. On the floor, AI is mostly speeding up record-keeping and reconciliations—a Light & Wonder executive describes AI automating slot audits and other "simple but mundane tasks," freeing staff to focus on higher-value work—while Brookings notes [3] that exposure to AI doesn't automatically mean job loss.

Adoption is real but bumpy. The World Economic Forum's Future of Jobs Report 2025 [4] lists cashiers and ticket clerks among the clerical roles expected to decline by 2030, and in Las Vegas tourism dropped, casinos quietly laid off workers, and properties like the Venetian rolled out fully automated game tables. Yet cashless rollout—the technology that would shrink cage lines the most—is still crawling.
At the 2026 Indian Gaming Association show, CDC Gaming reported [5] that adoption remains low on both tribal and commercial sides even as the industry adds options players want. Three forces will determine speed: cost (KPMG found only one in five gaming companies has seen meaningful ROI from AI, with most expecting returns within two years); regulation (the casino cage is the AML/KYC choke point [6], so changes need regulator sign-off); and labor politics, since Culinary Union contracts [7] delivered 32% wage increases over five years and unions are pushing back as electronic floors expand. The encouraging news from GGB Magazine [8]: human judgment around guest service, security, and responsible gaming still matters—skills you can build right now.

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They handle money and exchange chips for players in casinos, ensuring transactions are accurate and smooth for a good gaming experience.
Median Wage
$34,810
Jobs (2024)
22,600
Growth (2024-34)
-6.4%
Annual Openings
4,000
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Reconcile daily summaries of transactions to balance books.
Obtain customers' signatures on receipts when winnings exceed the amount held in a slot machine.
Maintain cage security according to rules.
Sell gambling chips, tokens, or tickets to patrons, or to other workers for resale to patrons.
Exchange money, credit, and casino chips, and make change for customers.
Calculate the value of chips won or lost by players.
Work in and monitor an assigned area on the casino floor where slot machines are located.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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