Will AI replace Gambling Surveillance Officers and Gambling Investigators?
Estimated risk score: 62 out of 100
Moderate replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (43 to 81).
Low confidence: only 8 of its tasks are rated.
For the occupation as a whole, from ratings of its 8 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 33-9031.00 · Protective Service
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 4 of its 8 rated tasks. In O*NET’s words.
- Develop and maintain log of surveillance observations.
- Report all violations and suspicious behaviors to supervisors, verbally or in writing.
- Inspect and monitor audio or video surveillance equipment to ensure it is working appropriately.
- Review video surveillance footage.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 3 of its 8 rated tasks. In O*NET’s words.
- Act as oversight or security agents for management or customers.
- Monitor establishment activities to ensure adherence to all state gaming regulations and company policies and procedures.
- Supervise or train surveillance observers.
What the job is
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.
Also called: Surveillance Observer, Gambling Monitor, Gaming Inspector, Casino Investigator, Gaming Investigator, Surveillance Monitor, Casino Enforcement Agent, Investigative Specialist.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate