Gambling Surveillance Officers and Gambling Investigators
In short: today's best AI models could do about 48% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 51% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 49% of the time, stays with people.
Observe gambling operation for irregular activities such as cheating or theft by either employees or patrons. Investigate potential threats to gambling assets such as money, chips, and gambling equipment. Act as oversight and security agent for management and customers.
9,520 people do this job in the US. $43,370 a year.
A typical 40-hour week
Not yet reviewed task by task- AI could take on19 h
- A person checks AI's work0 h
- Desk work AI can't do yet1 h
- Stays with people20 h
Gambling Surveillance Officers and Gambling Investigators, now: of a 40-hour week, AI could take on 19 hours, 0 hours become checking its work, 1 hours are desk work it can't do yet, and 20 hours stay with people.
The largest pieces: Monitor establishment activities to ensure adherence to all state gaming regulations and company policies and procedures (about 7 h); Review video surveillance footage (about 6 h); Report all violations and suspicious behaviors to supervisors, verbally or in writing (about 3 h).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 51%
- 7%
- 42%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 1%. With Claude Mythos Preview (early), measured in April 2026, 27%. Today's estimate: 48%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
None of this job's 8 tasks showed up in the Claude.ai conversations Anthropic sampled in any of its 7 releases, from February 2025 to May 2026.
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates almost none of this job's working time as physical work, so robots do not reach it.
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
The tasks
Sorted by . 8 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Monitor establishment activities to ensure adherence to all state gaming regulations and company policies and procedures.Done hourly or more by most who do it. | 21% | 1.7 h25 min to 6.7 h | 88%Half by now | |
| 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.Done hourly or more by most who do it. | 21% | 1.7 h25 min to 4.2 h | Stays with people | |
| Review video surveillance footage.Done hourly or more by most who do it. | 15% | 1.3 h25 min to 5 h | 97%Half by now | |
| Act as oversight or security agents for management or customers.Done hourly or more by most who do it. | 14% | 1.3 h25 min to 3.3 h | Stays with people | |
| Report all violations and suspicious behaviors to supervisors, verbally or in writing.Done hourly or more by most who do it. | 8% | 38 min13 min to 1.7 h | 100%Half by now | |
| Supervise or train surveillance observers.Done daily by most who do it. | 7% | 2.5 h50 min to 6.7 h | Stays with people | |
| Inspect and monitor audio or video surveillance equipment to ensure it is working appropriately.Done hourly or more by most who do it. | 7% | 38 min13 min to 1.7 h | Stays with people | |
| Develop and maintain log of surveillance observations.Done hourly or more by most who do it. | 7% | 25 min8 min to 1.3 h | 100%Half by now |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
- Security Management Specialists45% now, 74% by 2028
- Security Managers34% now, 56% by 2028
- Digital Forensics Analysts67% now, 98% by 2028
- First-Line Supervisors of Security Workers34% now, 42% by 2028
- Private Detectives and Investigators33% now, 69% by 2028
- First-Line Supervisors of Gambling Services Workers30% now, 32% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Gambling Surveillance Officers and Gambling Investigators is within reach of AI now?
- An estimated 48% of the working time is within reach of AI models now and 51% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Gambling Surveillance Officers and Gambling Investigators come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Monitor establishment activities to ensure adherence to all state gaming regulations and company policies and procedures (88% of the task's time now, 100% by the end of 2028); Review video surveillance footage (97% of the task's time now); and Report all violations and suspicious behaviors to supervisors, verbally or in writing (100% of the task's time now).
- Which tasks of Gambling Surveillance Officers and Gambling Investigators stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: 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; Act as oversight or security agents for management or customers; and Supervise or train surveillance observers. Together such tasks are about 49% of the working time.
- Do people already use AI for the work of Gambling Surveillance Officers and Gambling Investigators?
- In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 0%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Gambling Surveillance Officers and Gambling Investigators?
- Anthropic's robot exposure rating (September 2026) finds almost none of the working time is physical work, so robots do not reach it.
- How is this estimated?
- From the 8 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
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