Retail Loss Prevention Specialists vs Gambling Surveillance Officers and Gambling Investigators
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Retail Loss Prevention Specialists and Gambling Surveillance Officers and Gambling Investigators on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”
At a glance
| Dimension | Retail Loss Prevention Specialists | Gambling Surveillance Officers and Gambling Investigators |
|---|---|---|
| Median pay | $41,600 | $43,900 |
| Employment | 83,110 | 10,000 |
| Employment outlook (2024–34) · BLS projection | About average (+2.5%) | About average (+0.3%) |
| Annual openings · BLS projection | 23,300 | 1,300 |
| Typical education · O*NET | Usually requires a high school diploma or GED, though some occupations may not. | Usually requires a high school diploma or GED, though some occupations may not. |
| AI exposure · published exposure studies | Low · 10th pct | Moderate · 53rd pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 33rd pct · 20% of tasks | 60th pct · 32% of tasks |
| Observed AI use · Anthropic Economic Index | Augmentation-leaning (35.8%) | — |
| Mostly remote-capable · Dingel–Neiman | Yes | Yes |
Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.
Skills
Shared: Public Safety and Security, English Language, Oral Comprehension, Problem Sensitivity, Critical Thinking, Oral Expression, Deductive Reasoning, Customer and Personal Service, Education and Training, Inductive Reasoning, Speech Recognition, Administration and Management, Active Listening, Speaking, Monitoring, Written Comprehension, Speech Clarity, Computers and Electronics, Social Perceptiveness, Judgment and Decision Making, Selective Attention, Near Vision, Reading Comprehension, Active Learning, Information Ordering, Flexibility of Closure, Far Vision, Administrative, Writing, Coordination, Written Expression, Complex Problem Solving, Time Management, Mathematics, Category Flexibility, Instructing.
Specific to Retail Loss Prevention Specialists
- Law and Government
- Personnel and Human Resources
- Systems Analysis
- Learning Strategies
Specific to Gambling Surveillance Officers and Gambling Investigators
- Perceptual Speed
- Speed of Closure
- Time Sharing
- Telecommunications
Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).
Tools & technology
Shared: Data base user interface and query software , Spreadsheet software , Office suite software , Electronic mail software , Presentation software , Word processing software .
Specific to Retail Loss Prevention Specialists
Specific to Gambling Surveillance Officers and Gambling Investigators
Full profiles
This page is a summary. See the complete source-backed profile for Retail Loss Prevention Specialists or Gambling Surveillance Officers and Gambling Investigators — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.
More comparisons
Related occupations you can place side by side on the same sourced scale.
- Retail Loss Prevention Specialists vs Loss Prevention Managers
- Retail Loss Prevention Specialists vs Private Detectives and Investigators
- Retail Loss Prevention Specialists vs Security Managers
- Retail Loss Prevention Specialists vs First-Line Supervisors of Security Workers
- Retail Loss Prevention Specialists vs Compliance Managers
- Retail Loss Prevention Specialists vs Financial Risk Specialists
- Retail Loss Prevention Specialists vs Fraud Examiners, Investigators and Analysts
- Retail Loss Prevention Specialists vs Security Guards
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Retail Loss Prevention Specialists vs Gambling Surveillance Officers and Gambling Investigators." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/retail-loss-prevention-specialists-vs-gambling-surveillance-officers-and-gambling-investigators
Singulariki. (2026). Retail Loss Prevention Specialists vs Gambling Surveillance Officers and Gambling Investigators. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/retail-loss-prevention-specialists-vs-gambling-surveillance-officers-and-gambling-investigators
@misc{singulariki-retail-loss-prevention-specialists-vs-gambling-surveillance-officers-and-gambling-investigators,
title = {Retail Loss Prevention Specialists vs Gambling Surveillance Officers and Gambling Investigators},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/compare/retail-loss-prevention-specialists-vs-gambling-surveillance-officers-and-gambling-investigators}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.