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Security Guards

Occupation · SOC 33-9032.00

Guard, patrol, or monitor premises to prevent theft, violence, or infractions of rules. May operate x-ray and metal detector equipment.

Also called: Safety and Security Officer · Security Agent · Security Guard · Security Officer · Armed Security Officer · Campus Security Officer (CSO) · Custom Protection Officer (CPO) · Customer Service Security Officer · Hotel Security Officer · Loss Prevention Officer · Access Control Security Officer · Alarm Investigator

Job family: Protective Service Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-33-9032-00/context.md directly.

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.

32nd-percentile task overlap — yet about 161,000 openings a year (+0.4% 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 37th -0.4
LLM task exposure, γ (OpenAI / Eloundou) Low 21st 0.2
AI assistant applicability (Microsoft) Moderate 45th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.2), and including AI-powered software (γ 0.2). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

Mixed signals. Today's AI/LLM studies show relatively low exposure for this job, but the older (2013) Frey–Osborne work rated it higher for computerization and robotics. Different eras, different technologies — the AI measures above reflect the current state.

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 0.8 · 69th percentile among occupations · High

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.

Write reports of daily activities and irregularities, such as equipment or property damage, theft, presence of unauthorized persons, or unusual occurrences. 0.3%
Answer telephone calls to take messages, answer questions, and provide information during non-business hours or when switchboard is closed. 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 About average · +0.4% by 2034
Projected annual openings 161,000
Employment 2024 → 2034 1,262,100 → 1,267,100

“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.

20% mean task exposure (2025)
34th percentile of 427 placed occupations
+4 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Security Guards · 5414 20% 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 14 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

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

Knowledge

Public Safety and Security 4.7
Customer and Personal Service 4.5
English Language 4.3
Computers and Electronics 4.1
Administration and Management 4.0
Education and Training 3.8
Telecommunications 3.8
Administrative 3.7
Law and Government 3.5
Therapy and Counseling 3.1
Psychology 3.1
Medicine and Dentistry 3.0
Foreign Language 3.0
Communications and Media 3.0
Transportation 3.0
Personnel and Human Resources 3.0

Abilities

Problem Sensitivity 3.9
Far Vision 3.8
Oral Comprehension 3.6
Oral Expression 3.4
Selective Attention 3.4
Near Vision 3.4
Speech Recognition 3.4
Deductive Reasoning 3.3
Speech Clarity 3.3
Flexibility of Closure 3.1
Written Comprehension 3.0
Inductive Reasoning 3.0
Information Ordering 3.0

Essential skills

Active Listening 3.8
Monitoring 3.4
Speaking 3.3
Critical Thinking 3.1
Reading Comprehension 3.0
Active Learning 2.9

Transferable skills

Coordination 3.1
Social Perceptiveness 3.0
Judgment and Decision Making 3.0
Persuasion 2.9
Service Orientation 2.9

Skills in demand

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

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft SharePoint Document management software Hot technology
Microsoft Word Word processing software Hot technology
Corel WordPerfect Office Suite Office suite software
FaceTime Video conferencing software
IBM Lotus 1-2-3 Spreadsheet software
McAfee Transaction security and virus protection software
NortonLifeLock cybersecurity software Transaction security and virus protection software
Wireshark Network monitoring 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.

Health and Safety of Other Workers 5.0
Deal With External Customers or the Public in General 4.9
Contact With Others 4.9
Telephone Conversations 4.6
Freedom to Make Decisions 4.4
Face-to-Face Discussions with Individuals and Within Teams 4.4
Importance of Repeating Same Tasks 4.4
Importance of Being Exact or Accurate 4.4
Determine Tasks, Priorities and Goals 4.4
Indoors, Environmentally Controlled 4.4
E-Mail 4.3
Work With or Contribute to a Work Group or Team 4.2
Conflict Situations 4.0
Frequency of Decision Making 3.7
Coordinate or Lead Others in Accomplishing Work Activities 3.5
Work Outcomes and Results of Other Workers 3.5
Impact of Decisions on Co-workers or Company Results 3.4
Spend Time Standing 3.4
Physical Proximity 3.4
Exposed to Disease or Infections 3.3
Outdoors, Exposed to All Weather Conditions 3.3
Dealing With Unpleasant, Angry, or Discourteous People 3.3
Spend Time Sitting 3.2
Consequence of Error 3.2
Time Pressure 3.0
Written Letters and Memos 2.9
Exposed to Very Hot or Cold Temperatures 2.8
Spend Time Walking or Running 2.6
Pace Determined by Speed of Equipment 2.5
Exposed to Hazardous Conditions 2.5
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 2.4
Exposed to Contaminants 2.4
Dealing with Violent or Physically Aggressive People 2.4
Level of Competition 2.3
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 2.3
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 2.2
Degree of Automation 2.2
Spend Time Making Repetitive Motions 2.2
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.1
Public Speaking 2.0

How to get in

Job zone
Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
Education
Usually requires a high school diploma or GED, though some occupations may not.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
Preparation level
SVP (Below 6.0) — total schooling plus on-the-job experience.

What to study: Homeland Security, Law Enforcement, Firefighting and Related Protective Services . 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 79.3%
Some College Courses 9.6%
Associate's Degree (or other 2-year degree) 5.1%
Post-Secondary Certificate 4.2%
Bachelor's Degree 2.0%

Interests & work styles

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

Interest areas

Protective Service 6.6
Physical/Manual Labor 2.5
Transportation/Machine Operation 2.1
Office Work 1.9
Law 1.8

Career interests (Holland / RIASEC)

Realistic 6.4
Conventional 4.8
Enterprising 2.9
Social 2.6
Investigative 2.3

Work styles

Dependability 5.0
Integrity 4.0
Cautiousness 3.0
Self-Control 2.4
Stress Tolerance 2.2
Perseverance 1.9

Wages & employment

U.S. · annual wages (BLS OEWS)

$30k10th$35k25th$38kMedian$47k75th$60k90th
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.
1.26M20241.27M2034 (proj.)+0.4% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $29,800
25th percentile $35,100
Median (50th) $38,370
75th percentile $46,660
90th percentile $59,580
People employed 1,241,770

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
Administrative and Support and Waste Management and Remediation Services · Sector 769,770 $37,530
Educational Services · Sector 77,490 $44,090
Health Care and Social Assistance · Sector 73,730 $44,080
Retail Trade · Sector 70,960 $36,080
Accommodation and Food Services · Sector 59,520 $38,240
Arts, Entertainment, and Recreation · Sector 51,430 $38,020
Real Estate and Rental and Leasing · Sector 27,340 $46,380
Casino Hotels · National industry 15,210 $40,240
Other Services (except Public Administration) · Sector 15,140 $37,790
Transportation and Warehousing · Sector 13,200 $45,090
Professional, Scientific, and Technical Services · Sector 11,970 $47,540
Manufacturing · Sector 10,560 $44,000

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
Nuclear Electric Power Generation · National industry 13.71× 4,100
Administrative and Support and Waste Management and Remediation Services · Sector 10.58× 769,770
Casino Hotels · National industry 5.6× 15,210
Arts, Entertainment, and Recreation · Sector 2.42× 51,430
Real Estate and Rental and Leasing · Sector 1.43× 27,340
Theater Companies and Dinner Theaters · National industry 1.34× 780
Utilities · Sector 1.06× 4,950
Residential Mental Health and Substance Abuse Facilities · National industry 0.93× 1,930

Part of the Public Service & Safety career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Security Guards sits at the 32nd percentile of AI task-overlap and the 10th 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 Security Guards Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers Correctional Officers and Jailers Transit and Railroad Police Retail Loss Prevention Specialists Police and Sheriff's Patrol Officers Parking Enforcement Workers Security Managers Transportation Security Screeners Public Safety Telecommunicators 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 Security Guards — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Zoom out

On the global GenAI exposure gradient this work sits around the 34th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Security Guards show 32nd-percentile AI task overlap — and about 161,000 annual U.S. openings

  • Security Guards rank in the 32nd percentile (Low 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 161,000 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 about average (+0.4%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $38,370, across about 1,241,770 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Security Guards show 32nd-percentile AI task overlap — and about 161,000 annual U.S. openings

• Security Guards rank in the 32nd percentile (Low 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 161,000 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 about average (+0.4%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $38,370, across about 1,241,770 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Security Guards". https://singulariki.com/roles/role-33-9032-00
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. "Security Guards." 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-33-9032-00

APA

Singulariki. (2026). Security Guards. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-33-9032-00

BibTeX
@misc{singulariki-role-33-9032-00,
  title  = {Security Guards},
  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-33-9032-00}
}

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

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