Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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 chips at casinos, exchanging them for players, and make sure all transactions are accurate and secure.
Summary
The career of gambling cage workers is labeled as "Evolving" because AI is increasingly being used to automate routine tasks like counting money and checking transactions. However, the job still requires human skills, such as understanding complex gaming laws, building customer trust, and providing friendly, face-to-face service, which machines can't easily replicate.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
Summary
The career of gambling cage workers is labeled as "Evolving" because AI is increasingly being used to automate routine tasks like counting money and checking transactions. However, the job still requires human skills, such as understanding complex gaming laws, building customer trust, and providing friendly, face-to-face service, which machines can't easily replicate.
Read full analysisContributing Sources
AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
Low Demand
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 Cage Workers
Updated Quarterly • Last Update: 11/22/2025

State of Automation & Augmentation
In casinos today, many money-handling tasks are already partly automated. For example, casino cages use coin sorters, bill counters, and cash recyclers to count chips, coins, and bills quickly and accurately [1]. Self‐service kiosks also let patrons cash tickets or redeem tokens without a cashier [2].
On the reporting side, software and analytics help check and reconcile transactions. In fact, researchers have even applied machine‐learning to detect anomalies in gambling transactions, suggesting AI can flag errors or fraud [3].
However, other tasks still need human judgment. Casino cage workers must follow strict gaming laws and keep customer information private [1]. These duties involve understanding complex rules and building trust, which are hard to automate.
Experts note that while AI tools can help spot patterns (like fraud or addiction risks [4]), regulators say guidelines are needed to make sure AI stays ethical in gambling [4]. In practice, most cages combine machines for counting or data checks with live staff on duty. As one casino source explains, kiosks “free staff from mundane tasks” so workers can focus on friendly, face-to-face service [2].

AI Adoption
Whether casinos adopt more AI depends on technology and economics. Commercial systems do exist: companies now sell “virtual cashier” apps and fully autonomous kiosks that connect to casino networks [5]. Even advanced ATMs that scan checks and use face ID to cash out have been tested [6].
These tools promise faster, error-free cash handling. On the other hand, installing such systems is expensive and requires careful integration with existing casino security.
Labor costs also matter. Casino cashiers typically earn modest wages (about $29K per year on average [7]), especially compared to the high upfront cost of machines. This can slow adoption in some places.
Social and legal concerns play a role too: gaming regulators worry about AI targeting at-risk gamblers or breaking rules [4] [4]. For now, most casinos seem to take a middle path. They use technology where it makes sense (for counting money or simple transactions), but keep humans in charge of rules, compliance, and customer trust.
Overall, experts believe that while AI will change casino finance jobs, it will mostly assist – not replace – people. Workers who can manage complex rules, train guests, and provide personal service will remain valuable even in an AI-augmented cage [2] [4].

Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Navigate your career with COACH, your free AI Career Coach. Research-backed, designed with career experts.
Median Wage
$36,990
Jobs (2024)
14,100
Growth (2024-34)
-5.0%
Annual Openings
1,300
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Follow all gaming regulations.
Maintain confidentiality of customers' transactions.
Maintain cage security.
Determine cash requirements for windows and order all necessary currency, coins, or chips.
Supply currency, coins, chips, or gaming checks to other departments as needed.
Prepare bank deposits, balancing assigned funds as necessary.
Convert gaming checks, coupons, tokens, or coins to currency for gaming patrons.
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.

© 2026 CareerVillage.org. All rights reserved.
The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
Built with ❤️ by Sandbox Web