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Fraud Examiners, Investigators and Analysts vs Police Identification and Records Officers

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

A factual, source-backed comparison of Fraud Examiners, Investigators and Analysts and Police Identification and Records Officers 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.”

Fraud Examiners, Investigators and Analysts Police Identification and Records Officers
Median pay · BLS OEWS
$80,190
$93,580
Employment · BLS OEWS
127,450
110,790
AI exposure (percentile) · task overlap, not automation
79th pct
48th pct

At a glance

Dimension Fraud Examiners, Investigators and Analysts Police Identification and Records Officers
Median pay $80,190 $93,580
Employment 127,450 110,790
Employment outlook (2024–34) · BLS projection About average (+3.1%) Declining (-0.7%)
Annual openings · BLS projection 10,300 7,800
Typical education · O*NET Most of these occupations require a four-year bachelor's degree, but some do not. Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
AI exposure · published exposure studies High · 79th pct Moderate · 48th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 82nd pct · 45% of tasks 42nd pct · 23% of tasks
Observed AI use · Anthropic Economic Index Augmentation-leaning (54.9%)
Mostly remote-capable · Dingel–Neiman Yes No

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: English Language, Written Expression, Active Listening, Writing, Oral Comprehension, Problem Sensitivity, Law and Government, Reading Comprehension, Speaking, Critical Thinking, Complex Problem Solving, Written Comprehension, Oral Expression, Deductive Reasoning, Inductive Reasoning, Judgment and Decision Making, Speech Recognition, Active Learning, Speech Clarity, Computers and Electronics, Coordination, Near Vision, Customer and Personal Service, Education and Training, Information Ordering, Social Perceptiveness, Flexibility of Closure, Monitoring, Time Management, Public Safety and Security, Selective Attention, Instructing.

Specific to Fraud Examiners, Investigators and Analysts

  • Economics and Accounting
  • Administration and Management
  • Mathematics
  • Persuasion
  • Negotiation
  • Mathematics
  • Service Orientation
  • Management of Personnel Resources

Specific to Police Identification and Records Officers

  • Administrative
  • Category Flexibility
  • Fluency of Ideas
  • Perceptual Speed
  • Arm-Hand Steadiness
  • Far Vision
  • Visual Color Discrimination
  • Originality

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: Spreadsheet software , Office suite software , Presentation software , Word processing software , Data base user interface and query software , Process mapping and design software .

Full profiles

This page is a summary. See the complete source-backed profile for Fraud Examiners, Investigators and Analysts or Police Identification and Records Officers — 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. "Fraud Examiners, Investigators and Analysts vs Police Identification and Records Officers." 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/fraud-examiners-investigators-and-analysts-vs-police-identification-and-records-officers

APA

Singulariki. (2026). Fraud Examiners, Investigators and Analysts vs Police Identification and Records Officers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/fraud-examiners-investigators-and-analysts-vs-police-identification-and-records-officers

BibTeX
@misc{singulariki-fraud-examiners-investigators-and-analysts-vs-police-identification-and-records-officers,
  title  = {Fraud Examiners, Investigators and Analysts vs Police Identification and Records Officers},
  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/fraud-examiners-investigators-and-analysts-vs-police-identification-and-records-officers}
}

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