Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They handle money and exchange chips for players in casinos, ensuring transactions are accurate and smooth for a good gaming experience.
This role is evolving
This career is labeled as "Evolving" because technology is increasingly handling routine tasks like counting money and keeping records, with machines and software speeding up these processes. However, human skills are still crucial for tasks that require judgment, like checking IDs, resolving disputes, and building trust with customers.
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 evolving
This career is labeled as "Evolving" because technology is increasingly handling routine tasks like counting money and keeping records, with machines and software speeding up these processes. However, human skills are still crucial for tasks that require judgment, like checking IDs, resolving disputes, and building trust with customers.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Gambling Cashier
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
In casinos today, many cash-handling tasks already use machines or software, but humans still play a key role. For example, cashiers often use automatic coin sorters, coin wrappers and currency scanners [1] to quickly count bills and coins, speeding up tasks like auditing drawers. Industry research notes that “cage automation” systems can streamline many steps a cashier normally does [2].
New self-service kiosks are also common: some let customers deposit or withdraw cash, load credit, or redeem tickets without an attendant [3] [3]. One kiosk even uses a camera and AI to spot risky (money‐laundering) behavior [3]. These tools “automate the string of processes a casino cashier would have to fulfill” [2].
That said, some tasks remain hard to fully automate. Checking IDs, resolving disputes, or building trust with players still rely on human judgment. For example, union leaders point out that jobs involving face-to-face service are less likely to be replaced [4].
In short, simple exchange or counting tasks are increasingly handled by tech, but jobs that need personal attention, careful counting of large jackpots, or strict security still need people.

AI in the real world
Whether a casino adopts more AI depends on costs, regulations, and worker needs. On one hand, shortages of trained cashiers could push casinos to use more machines [2]. Automated kiosks (for tickets, chips, even crypto) are already on the market [3].
On the other hand, implementing AI systems can be expensive and must meet strict gaming rules. Casino unions have negotiated contract rules to protect workers from “technology that we don't even know is coming” [4]. Customers on the Las Vegas Strip expect hands‐on service, so operators test new tech carefully [4].
Overall, experts expect a gradual change: many routine tasks (counting money, basic records) can be done faster with machines, but human skills like security judgment and customer experience stay important. In the end, skillful employees will work alongside new tools – so while AI takes on number-crunching, good people skills and trust-building remain valuable in casino cash work [4] [2].

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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
Perform minor repairs on slot machines, such as clearing coin jams.
Accept credit applications and verify credit references to provide check-cashing authorization or to establish house credit accounts.
Obtain customers' signatures on receipts when winnings exceed the amount held in a slot machine.
Work in and monitor an assigned area on the casino floor where slot machines are located.
Listen for jackpot alarm bells and issue payoffs to winners.
Sell gambling chips, tokens, or tickets to patrons, or to other workers for resale to patrons.
Maintain cage security according to rules.
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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