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Detectives and Criminal Investigators

Occupation · SOC 33-3021.00

Conduct investigations related to suspected violations of federal, state, or local laws to prevent or solve crimes.

Also called: Criminal Investigator · Detective · Investigator · Special Agent · Crime Scene Investigator (CSI) · Fugitive Detective · Fugitive Investigator · Narcotics Detective · Narcotics Investigator · Police Detective · Air Marshal · Burglary Investigator

Job family: Protective Service Occupations

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AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

48th-percentile task overlap — yet about 7,800 openings a year (-0.7% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) Moderate 54th 0.2
LLM task exposure, γ (OpenAI / Eloundou) Moderate 45th 0.5
AI assistant applicability (Microsoft) Moderate 48th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.3), and including AI-powered software (γ 0.5). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.3 · 40th percentile among occupations · Moderate

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Prepare reports that detail investigation findings. 0.3%
Identify case issues and evidence needed, based on analysis of charges, complaints, or allegations of law violations. 0.3%
Analyze completed police reports to determine what additional information and investigative work is needed. 0.3%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Declining · -0.7% by 2034
Projected annual openings 7,800
Employment 2024 → 2034 117,900 → 117,100

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

23% mean task exposure (2025)
42nd percentile of 427 placed occupations
+3 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Police Inspectors and Detectives · 3355 23% Not exposed

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 30 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Emerging tasks

Newer responsibilities O*NET has flagged as growing for this occupation.

  • Operate drones for aerial surveillance or to gather evidence from difficult to reach locations.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Law and Government 4.8
Public Safety and Security 4.6
English Language 4.2
Customer and Personal Service 4.0
Psychology 3.9
Computers and Electronics 3.6
Education and Training 3.6
Administrative 3.5
Administration and Management 3.3

Essential skills

Active Listening 4.4
Speaking 4.3
Critical Thinking 4.1
Reading Comprehension 3.9
Active Learning 3.5
Writing 3.4
Monitoring 3.4

Abilities

Oral Comprehension 4.4
Inductive Reasoning 4.4
Oral Expression 4.1
Problem Sensitivity 4.1
Deductive Reasoning 4.1
Written Comprehension 4.0
Information Ordering 3.9
Near Vision 3.9
Speech Recognition 3.9
Speech Clarity 3.9
Written Expression 3.8
Category Flexibility 3.6
Flexibility of Closure 3.6
Far Vision 3.6
Fluency of Ideas 3.4
Speed of Closure 3.4
Perceptual Speed 3.3
Selective Attention 3.3
Time Sharing 3.3

Transferable skills

Social Perceptiveness 3.9
Complex Problem Solving 3.9
Judgment and Decision Making 3.8
Coordination 3.5
Service Orientation 3.5

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Showing the top 40 of 44.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Adobe Photoshop Graphics or photo imaging software Hot technology
Linux Operating system software Hot technology
Microsoft Access Data base user interface and query software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Visio Process mapping and design software Hot technology
Microsoft Word Word processing software Hot technology
SAS Analytical or scientific software Hot technology
Structured query language SQL Data base user interface and query software Hot technology
AccessData FTK Network monitoring software
Case management software Project management software
Computer aided composite drawing software Graphics or photo imaging software
Corel WordPerfect Office Suite Office suite software
Crime mapping software Map creation software
DataWorks Plus Digital CrimeScene Data base user interface and query software
DeChant Consulting Services iWitness Graphics or photo imaging software
DesignWare 3D EyeWitness Graphics or photo imaging software
Digital Image Management Solutions Crime Scene Graphics or photo imaging software
Email software Electronic mail software
Eos Systems PhotoModeler Graphics or photo imaging software
ESRI ArcView Geographic information system
Geographic information system GIS software Geographic information system
Graphics software Graphics or photo imaging software
Guidance Software EnCase Enterprise Analytical or scientific software
Integrated Automated Fingerprint Identification System IAFIS Data base user interface and query software
Law enforcement information databases Data base user interface and query software
Microsoft Publisher Desktop publishing software
National Crime Information Center (NCIC) database Data base user interface and query software
National Integrated Ballistics Information Network NIBIN Data base user interface and query software
SmartDraw Legal Graphics or photo imaging software
The CAD Zone The Crime Zone Graphics or photo imaging software
Trancite Logic Systems ScenePD Graphics or photo imaging software
Visual Statement Vista FX3 CSI Graphics or photo imaging software
Web browser software Internet browser software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Telephone Conversations 4.9
E-Mail 4.9
Deal With External Customers or the Public in General 4.9
Face-to-Face Discussions with Individuals and Within Teams 4.8
Contact With Others 4.8
In an Enclosed Vehicle or Operate Enclosed Equipment 4.7
Impact of Decisions on Co-workers or Company Results 4.7
Indoors, Environmentally Controlled 4.6
Frequency of Decision Making 4.6
Importance of Being Exact or Accurate 4.6
Freedom to Make Decisions 4.5
Work With or Contribute to a Work Group or Team 4.5
Determine Tasks, Priorities and Goals 4.4
Coordinate or Lead Others in Accomplishing Work Activities 4.3
Consequence of Error 4.3
Conflict Situations 4.2
Dealing With Unpleasant, Angry, or Discourteous People 4.1
Outdoors, Exposed to All Weather Conditions 4.1
Written Letters and Memos 4.0
Health and Safety of Other Workers 4.0
Importance of Repeating Same Tasks 3.9
Time Pressure 3.8
Physical Proximity 3.8
Indoors, Not Environmentally Controlled 3.5
Spend Time Sitting 3.5
Work Outcomes and Results of Other Workers 3.5
Exposed to Very Hot or Cold Temperatures 3.5
Dealing with Violent or Physically Aggressive People 3.4
Level of Competition 3.4
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.3
Exposed to Extremely Bright or Inadequate Lighting Conditions 3.3
Exposed to Disease or Infections 3.2
Outdoors, Under Cover 3.2
Exposed to Contaminants 3.1
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.0
Exposed to Hazardous Equipment 2.9
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 2.8
Spend Time Standing 2.8
Exposed to Hazardous Conditions 2.8
Spend Time Making Repetitive Motions 2.7

How to get in

Job zone
Zone 3 — Job Zone Three: Medium Preparation Needed
Education
Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
Preparation level
SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.

What to study: Homeland Security, Law Enforcement, Firefighting and Related Protective Services , Military Technologies and Applied Sciences , Natural Resources and Conservation . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

High School Diploma 32.5%
Associate's Degree (or other 2-year degree) 19.9%
Post-Secondary Certificate 19.7%
Some College Courses 17.9%
Bachelor's Degree 10.0%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Work styles

Attention to Detail 10.0
Integrity 9.0
Cautiousness 8.0
Intellectual Curiosity 7.0
Achievement Orientation 6.0
Self-Control 5.0
Stress Tolerance 4.0
Adaptability 3.0
Dependability 2.9

Interest areas

Protective Service 6.9
Law 4.5
Social Science 3.0

Career interests (Holland / RIASEC)

Investigative 4.9
Conventional 4.8
Realistic 4.2
Enterprising 4.0

Wages & employment

U.S. · annual wages (BLS OEWS)

$54k10th$68k25th$94kMedian$120k75th$159k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
118k2024117k2034 (proj.)-0.7% · Declining
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $54,160
25th percentile $68,390
Median (50th) $93,580
75th percentile $120,080
90th percentile $159,410
People employed 110,790

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Transportation and Warehousing · Sector 440 $115,070
Educational Services · Sector 280 $82,990
Health Care and Social Assistance · Sector 60 $85,650

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Transportation and Warehousing · Sector 0.08× 440
Educational Services · Sector 0.03× 280

Part of the Public Service & Safety career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Detectives and Criminal Investigators sits at the 48th percentile of AI task-overlap and the 78th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Detectives and Criminal Investigators Transit and Railroad Police First-Line Supervisors of Correctional Officers Bailiffs First-Line Supervisors of Police and Detectives Forensic Science Technicians Private Detectives and Investigators Probation Officers and Correctional Treatment Specialists Fraud Examiners, Investigators and Analysts AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Detectives and Criminal Investigators — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Write a report on thisheadline · factoids · citation

Detectives and Criminal Investigators show 48th-percentile AI task overlap — and about 7,800 annual U.S. openings

  • Detectives and Criminal Investigators rank in the 48th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 7,800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be declining (-0.7%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $93,580, across about 110,790 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Detectives and Criminal Investigators show 48th-percentile AI task overlap — and about 7,800 annual U.S. openings

• Detectives and Criminal Investigators rank in the 48th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 7,800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be declining (-0.7%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $93,580, across about 110,790 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Detectives and Criminal Investigators". https://singulariki.com/roles/role-33-3021-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

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. "Detectives and Criminal 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/roles/role-33-3021-00

APA

Singulariki. (2026). Detectives and Criminal Investigators. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-33-3021-00

BibTeX
@misc{singulariki-role-33-3021-00,
  title  = {Detectives and Criminal 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/roles/role-33-3021-00}
}

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

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