BETA
Updated: Feb 6
BETA
Updated: Feb 6
Changing fast
Last Update: 11/21/2025
Your role’s AI Resilience Score is
26.5%
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.
AI Resilience Report for
Gambling Surveillance Officers and Gambling Investigators
They watch casino activities through cameras to spot cheating or theft and ensure everything follows the rules.
Summary
The career of Gambling Surveillance Officers and Gambling Investigators is labeled as "Changing fast" because many of their routine tasks, like watching video footage for unusual activity, are being automated by AI technology. AI systems can now quickly spot suspicious behavior or known cheats, which reduces the need for constant human monitoring.
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View analysisChat with CoachLatest newsMore career infoSummary
The career of Gambling Surveillance Officers and Gambling Investigators is labeled as "Changing fast" because many of their routine tasks, like watching video footage for unusual activity, are being automated by AI technology. AI systems can now quickly spot suspicious behavior or known cheats, which reduces the need for constant human monitoring.
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
Changing fast21.4%
21.4%
Microsoft's Working with AI
AI Applicability
Evolving48.3%
48.3%
Will Robots Take My Job
Automation Resilience
Changing fast19.6%
19.6%
Low Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
0.3%
Growth Percentile:
27.9%
Annual Openings:
1.3
Annual Openings Pct:
15.3%
Analysis of Current AI Resilience
Gambling Surveillance/Inv
Updated Quarterly • Last Update: 11/21/2025
State of Automation & Augmentation
Casinos already use lots of cameras and tech, and AI is starting to help. For example, news reports say AI video analytics can flag suspicious behavior in real time, acting like a “tireless digital security guard” [1] [2]. Industry articles note that casinos are among the early users of this tech: modern systems can overlay video with transaction data to spot cheating faster [3] [2].
Some casinos even use facial-recognition to catch known cheats or self-excluded gamblers. One study found that Australian casinos scanned over 50 million faces and detected banned players more than 1,700 times [4], and news sources report casinos in New Zealand, Japan and elsewhere now use AI cameras to keep banned patrons out [5] [4]. These tools augment the core task of watching dealers and players for theft or cheat – they alert human investigators to review footage, but currently do not replace the human eye.
Experts emphasize that video analytics are powerful but require skilled setup and supervision [2] [6]. In short, AI can help with the “observe” and “monitor” tasks by spotting unusual events, but people still do the deciding and reporting.
Meanwhile, other tasks remain largely human. Casinos must follow strict gaming rules, and compliance still needs people. Technology helps with surveillance (cameras meet regulatory requirements) [3], but officers must still log events and write reports.
Security specialists note that AI takes over routine monitoring so staff can handle tougher investigations that need human judgment and empathy [6] [2]. For example, one expert panel said modern analytics let machines do the “mundane” watching, letting officers focus on clues machines might miss [6]. In practice, AI tools are being added to casino security systems (for video analysis, face-ID, license‐plate recognition, etc.), but skilled people remain essential for making sense of the alerts and following up on suspicious activity.
Sources
AI Adoption
Casino operators have strong reasons to try AI tech. Cheating and theft cost money, so anything that improves security can pay off. Trade reports note that AI-powered video systems “improve security and safety” and even give business insights (e.g. where guests spend time) [7] [6].
New resorts are installing advanced camera networks and analytics by default [7] [7]. Vendors also advertise affordable upgrades: one industry leader says casinos can add “cost-effective add-on AI solutions” to existing cameras without a full overhaul [7]. If AI lets a casino catch cheats or spot stolen chips more quickly, the investment can be worth it – handling $100 bills and chips in a busy casino has big financial stakes.
On the other hand, adoption is cautious. Cutting-edge AI systems can be expensive and tricky to set up. Casinos may worry about pouring money into technology that might not work perfectly [7].
There are also privacy and rule-of-law issues: patrons may not like being constantly monitored by AI, and gambling regulators still require human oversight of games [3] [1]. In general, society accepts some surveillance in casinos, but full AI monitoring raises concerns (for example, US privacy groups warn that constant smart cameras could “erode” anonymity [1]). Because of these factors, casino AI tends to roll out step-by-step: it augments security staff rather than fully replaces them.
This balanced approach keeps jobs for people who have skills computers lack – for instance, noticing subtle tells or interviewing suspects. In the end, human judgment, communication and empathy remain key qualities that AI cannot match [6] [2], so while surveillance officers will use new tools, the human role remains important.
Sources
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More Career Info
Career: Gambling Surveillance Officers and Gambling Investigators
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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
Monitor establishment activities to ensure adherence to all state gaming regulations and company policies and procedures.
2
Act as oversight or security agents for management or customers.
3
Supervise or train surveillance observers.
4
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.
5
Report all violations and suspicious behaviors to supervisors, verbally or in writing.
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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