# Gambling Surveillance Officers and Gambling Investigators

> 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.

- **SOC code:** 33-9031.00
- **Canonical URL:** https://singulariki.com/roles/role-33-9031-00
- **Also known as:** Surveillance Agent, Surveillance Observer, Surveillance Officer, Surveillance Operator, Casino Enforcement Agent, Gaming Investigator, Security Officer, Surveillance Investigator
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Monitor establishment activities to ensure adherence to all state gaming regulations and company policies and procedures.
- 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.
- Report all violations and suspicious behaviors to supervisors, verbally or in writing.
- Develop and maintain log of surveillance observations.
- Inspect and monitor audio or video surveillance equipment to ensure it is working appropriately.
- Review video surveillance footage.
- Act as oversight or security agents for management or customers.
- Supervise or train surveillance observers.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- English Language _(knowledge)_
- Problem Sensitivity _(ability)_
- Monitoring _(essential_skill)_
- Public Safety and Security _(knowledge)_
- Selective Attention _(ability)_
- Far Vision _(ability)_
- Oral Comprehension _(ability)_
- Critical Thinking _(essential_skill)_
- Written Expression _(ability)_
- Inductive Reasoning _(ability)_
- Near Vision _(ability)_
- Computers and Electronics _(knowledge)_

**Skills in demand:**
- English Language _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Mathematics _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- Active Listening _(Common Skill)_
- Writing _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Active Learning _(Common Skill)_

**Tools & technology:**
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Excel _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- FileMaker Pro
- iView Systems
- Microsoft Paint

## AI exposure & outlook

- **AI task-overlap index:** 55th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 65th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 51st percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 53rd percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 89th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 0.3% growth (About average); 1.3k annual openings; 10.3k → 10.3k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $43,900; 10,000 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-33-9031-00_