First-Line Supervisors of Gambling Services Workers

Directly supervise and coordinate activities of workers in assigned gambling areas. May circulate among tables, observe operations, and ensure that stations and games are covered for each shift. May verify and pay off jackpots. May reset slot machines after payoffs and make repairs or adjustments to slot machines or recommend removal of slot machines for repair. May plan and organize activities and services for guests in hotels/casinos.

The occupation "First-Line Supervisors of Gambling Services Workers" has an automation risk of 53.5%, which is close to its base risk of 54.2%. This indicates a moderate likelihood that many tasks within this profession could eventually be performed by automated systems, particularly due to the repetitive and rule-based nature of many job responsibilities. For example, the most automatable tasks in this occupation include monitoring game operations to ensure compliance with house rules and regulations, observing gamblers' behavior for suspicious activity, and performing paperwork for monetary transactions. Each of these duties involves gathering information, following a standard procedure, or handling routine documentation—all areas where automation technology is advancing rapidly. However, not all aspects of the job are equally susceptible to automation. The three tasks most resistant to being automated are those that require complex interpersonal judgment, adaptiveness, or high-level decision-making: training, supervising, scheduling, and evaluating workers; interviewing and hiring workers; and reviewing accuracy in operational expenses, budget estimates, and financial reports. These responsibilities often demand nuanced understanding of people, organizational culture, and business goals. Moreover, they rely heavily on human management skills—such as mentoring and evaluating staff or making hiring recommendations—that current artificial intelligence and robotic technologies struggle to replicate convincingly. A further factor influencing the automation risk is the relative lack of bottleneck skills, particularly the low levels of originality required, listed as only 2.5% and 2.6%. This means that most tasks don’t require creative problem-solving beyond established routines, making them easier targets for potential automation. However, the tasks that do require originality and higher-order decision-making act as a barrier to full automation. As a result, while nearly half the occupation’s tasks might be automated in the foreseeable future, ultimate supervisory responsibilities and complex human interactions will likely remain under the expertise of human supervisors.