Gambling Change Persons and Booth Cashiers

Exchange coins, tokens, and chips for patrons' money. May issue payoffs and obtain customer's signature on receipt. May operate a booth in the slot machine area and furnish change persons with money bank at the start of the shift, or count and audit money in drawers.

The automation risk for the occupation "Gambling Change Persons and Booth Cashiers" stands at 64.7%, which closely aligns with its base risk of 65.4%. This relatively high risk is primarily driven by the routine and repetitive nature of many core tasks associated with the job. For example, keeping accurate records of monetary exchanges, authorization forms, and transaction reconciliations is highly susceptible to automation, as digital systems and software can efficiently handle these duties with less potential for human error. Similarly, tasks such as exchanging money, credit, tickets, or casino chips, along with making change for customers, are standard and rule-based, making them prime candidates for self-service kiosks or automated counting machines. Counting money and auditing money drawers can also be performed more quickly and reliably by machines, further incentivizing employers to automate these functions. However, despite the high automation potential of most job duties, there remain certain tasks that are more resistant to full automation and help lower the overall risk somewhat. For instance, cleaning casino areas typically requires manual dexterity, mobility, and attention to detail in dynamic environments, making it less amenable to current robotic systems. The sale of gambling chips, tokens, or tickets—especially to patrons or other employees—often involves verifying identification, assessing customer needs, and engaging in interpersonal communication, which are areas where humans still maintain an edge. In addition, listening for jackpot alarm bells and issuing payoffs to winners is not merely transactional; it requires attentive presence, regulatory compliance, and occasionally even mediating disputes or ensuring the proper handling of large sums. A key limiting factor for full automation in this occupation is the low requirement for originality, as reflected in bottleneck skill levels: Originality is rated at just 2.0% and 2.1%. This means that most tasks do not involve innovative thinking or complex problem solving, which are typically difficult for machines to replicate. The low demand for originality underscores why much of the work can be effectively automated, but it also highlights why human workers are still essential for specific unpredictable or customer-facing situations. Overall, while automation is rapidly advancing in gambling establishments, some degree of human involvement remains necessary for tasks involving nuanced judgment, physical presence, and interaction with customers.