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Gambling Surveillance Officers and Gambling Investigators vs Digital Forensics Analysts

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of Gambling Surveillance Officers and Gambling Investigators and Digital Forensics Analysts 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.”

Gambling Surveillance Officers and Gambling Investigators Digital Forensics Analysts
Median pay · BLS OEWS
$43,900
$108,970
Employment · BLS OEWS
10,000
439,380
AI exposure (percentile) · task overlap, not automation
53rd pct
88th pct

At a glance

Dimension Gambling Surveillance Officers and Gambling Investigators Digital Forensics Analysts
Median pay $43,900 $108,970
Employment 10,000 439,380
Employment outlook (2024–34) · BLS projection About average (+0.3%) Growing fast (+8.2%)
Annual openings · BLS projection 1,300 31,300
Typical education · O*NET Usually requires a high school diploma or GED, though some occupations may not. Most of these occupations require a four-year bachelor's degree, but some do not.
AI exposure · published exposure studies Moderate · 53rd pct High · 88th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 60th pct · 32% of tasks —
Observed AI use · Anthropic Economic Index — —
Mostly remote-capable · Dingel–Neiman 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

Specific to Gambling Surveillance Officers and Gambling Investigators

  • English Language
  • Problem Sensitivity
  • Monitoring
  • Public Safety and Security
  • Selective Attention
  • Far Vision
  • Oral Comprehension
  • Critical Thinking

Specific to Digital Forensics Analysts

    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: Office suite software , Spreadsheet software , Presentation software , Data base user interface and query software .

    Specific to Gambling Surveillance Officers and Gambling Investigators

    Specific to Digital Forensics Analysts

    Full profiles

    This page is a summary. See the complete source-backed profile for Gambling Surveillance Officers and Gambling Investigators or Digital Forensics Analysts — 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.

    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.

    Data compiled June 2, 2026. Figures are estimates, not advice.

    Cite this page
    Plain

    Singulariki. "Gambling Surveillance Officers and Gambling Investigators vs Digital Forensics Analysts." 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; 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/gambling-surveillance-officers-and-gambling-investigators-vs-digital-forensics-analysts

    APA

    Singulariki. (2026). Gambling Surveillance Officers and Gambling Investigators vs Digital Forensics Analysts. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/gambling-surveillance-officers-and-gambling-investigators-vs-digital-forensics-analysts

    BibTeX 
    @misc{singulariki-gambling-surveillance-officers-and-gambling-investigators-vs-digital-forensics-analysts,
  title  = {Gambling Surveillance Officers and Gambling Investigators vs Digital Forensics Analysts},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; 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/gambling-surveillance-officers-and-gambling-investigators-vs-digital-forensics-analysts}
}

    Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.