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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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Not Very Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
31.0%
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
AI Resilience Report forGambling Surveillance Officers and Gambling Investigators
Gambling Surveillance Officers and Gambling Investigators are less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
This career is labeled as "Not Very Resilient" because many of the tasks traditionally done by Gambling Surveillance Officers and Investigators, like monitoring and detecting suspicious behavior, are increasingly being automated by AI systems. Smart cameras and software can already identify suspicious activities and even recognize faces of banned gamblers, making some parts of the job less reliant on human intervention.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is not very resilient
This career is labeled as "Not Very Resilient" because many of the tasks traditionally done by Gambling Surveillance Officers and Investigators, like monitoring and detecting suspicious behavior, are increasingly being automated by AI systems. Smart cameras and software can already identify suspicious activities and even recognize faces of banned gamblers, making some parts of the job less reliant on human intervention.
Read full analysisAnalysis of Current AI Resilience
Gambling Surveillance/Inv
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Gambling Surveillance/Inv jobs?
Casinos are already using smarter tools to help with surveillance. For example, many now have “smart” cameras and software that can flag suspicious actions. One report notes that some systems can automatically detect guns or weapons in real time and even read players’ faces against a list of barred gamblers [1] [2].
Other AI tools look at betting patterns and play behaviors, and they can spot unusual moves or cheating signals that a human might miss [3] [3]. These alerts are then passed to real security staff. Experts stress that AI is used to help human officers, not replace them.
In fact, industry writers say such systems are “complementary” to human expertise [3]. In practice, gambling investigators still make the final judgment, write reports, and decide how to respond to any alarm.
Sources
How fast is AI adoption growing for Gambling Surveillance/Inv?
Casinos have strong reasons to bring in AI, but also some caution. On the plus side, the gambling industry is huge (over $330 billion in economic impact and 1.8 million jobs nationwide [1]), so protecting money and customers is a big priority. AI tools can improve security and save labor costs.
For instance, one analysis notes that AI can make monitoring “cost-efficient” by helping casinos catch criminals before they act [1]. Regulators also pressure casinos to keep violators out – a Pennsylvania gaming official warned that a casino’s license is on the line if it fails to detect banned gamblers or fraud [2].
At the same time, some factors slow down AI use. Privacy and ethics are a concern: a casino manager told regulators that using facial recognition “opens up a Pandora’s box” of privacy issues [2]. Casinos must also follow strict gaming laws and often need human judgment calls (especially for writing up incidents).
Because of these challenges, experts say AI will likely be used as a helper – for example alerting human monitors – rather than as a full replacement for people [3] [1]. This means Gambling Surveillance Officers are likely to have strong job security for tasks that need care, even as AI makes some parts of the work easier.
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More Career Info
Career: Gambling Surveillance Officers and Gambling Investigators
They watch casino activities through cameras to spot cheating or theft and ensure everything follows the rules.
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Employment & Wage Data
Median Wage
$43,900
Jobs (2024)
10,300
Growth (2024-34)
+0.3%
Annual Openings
1,300
Education
High school diploma or equivalent
Experience
Less than 5 years
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Act as oversight or security agents for management or customers.
2
Supervise or train surveillance observers.
3
Report all violations and suspicious behaviors to supervisors, verbally or in writing.
4
Monitor establishment activities to ensure adherence to all state gaming regulations and company policies and procedures.
5
Observe casino or casino hotel operations for irregular activities such as cheating or theft by employees or patrons, using audio and video equipment and one-way mirrors.
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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