Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 33-1091.00
Directly supervise and coordinate activities of security workers and security guards.
Also called: Security Director · Security Shift Supervisor · Security Supervisor · Shift Supervisor · Campus Safety Chief · Public Safety Manager · Public Safety Supervisor · Security Chief · Security Guard Supervisor · Security Lieutenant · Armed Security Supervisor · Armed Site Supervisor
Job family: Protective Service Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-33-1091-00/context.md directly.
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.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
34th-percentile task overlap — yet about 7,000 openings a year (+2.7% projected, BLS) . What exposure means →
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.
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 |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 48th | 0.6 | |
| AI assistant applicability (Microsoft) Low | 24th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.4), and including AI-powered software (γ 0.6). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +2.7% by 2034 |
| Projected annual openings | 7,000 |
| Employment 2024 → 2034 | 71,900 → 73,800 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 21 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Active Listening | 4.0 | |
| Reading Comprehension | 3.9 | |
| Speaking | 3.9 | |
| Critical Thinking | 3.9 | |
| Monitoring | 3.8 | |
| Writing | 3.6 |
| Oral Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Problem Sensitivity | 4.0 | |
| Inductive Reasoning | 4.0 | |
| Deductive Reasoning | 3.9 | |
| Near Vision | 3.9 | |
| Far Vision | 3.9 | |
| Speech Recognition | 3.9 | |
| Written Comprehension | 3.8 | |
| Written Expression | 3.6 | |
| Flexibility of Closure | 3.6 | |
| Speech Clarity | 3.6 | |
| Information Ordering | 3.5 | |
| Selective Attention | 3.5 | |
| Speed of Closure | 3.3 | |
| Perceptual Speed | 3.3 |
| Judgment and Decision Making | 3.9 | |
| Management of Personnel Resources | 3.8 | |
| Social Perceptiveness | 3.6 | |
| Coordination | 3.6 | |
| Complex Problem Solving | 3.6 | |
| Time Management | 3.6 | |
| Persuasion | 3.3 | |
| Instructing | 3.3 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
| Example | Category | |
|---|---|---|
| Microsoft Office software | Office suite software | Hot technology In demand |
| Microsoft Access | Data base user interface and query software | Hot technology |
| Microsoft Excel | Spreadsheet software | Hot technology |
| Microsoft Outlook | Electronic mail software | Hot technology |
| Microsoft PowerPoint | Presentation software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
| Employee scheduling software | Calendar and scheduling software | |
| Oracle software | Data base user interface and query software | |
| SAP business and customer relations management software | Enterprise resource planning ERP software | |
| Time and attendance software | Time accounting software |
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.
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.
Share of people in this occupation at each level of education.
| Associate's Degree (or other 2-year degree) | 29.8% | |
| High School Diploma | 27.7% | |
| Some College Courses | 26.1% | |
| Bachelor's Degree | 11.4% | |
| Post-Secondary Certificate | 5.0% |
The interests and personal qualities O*NET associates with people who do this work.
| Dependability | 7.0 | |
| Attention to Detail | 6.0 | |
| Integrity | 5.0 | |
| Cautiousness | 4.0 | |
| Self-Control | 3.0 | |
| Leadership Orientation | 2.5 | |
| Stress Tolerance | 2.2 |
| Enterprising | 6.0 | |
| Conventional | 5.1 | |
| Realistic | 4.4 | |
| Social | 3.6 |
| Protective Service | 5.8 | |
| Management/Administration | 5.4 | |
| Human Resources | 3.3 | |
| Law | 2.5 | |
| Public Speaking | 2.3 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $37,800 |
| 25th percentile | $46,070 |
| Median (50th) | $58,610 |
| 75th percentile | $74,700 |
| 90th percentile | $93,930 |
| People employed | 70,310 |
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 | 35,620 | $52,750 |
| Arts, Entertainment, and Recreation · Sector | 6,320 | $50,070 |
| Health Care and Social Assistance · Sector | 5,410 | $62,240 |
| Accommodation and Food Services · Sector | 5,350 | $55,860 |
| Educational Services · Sector | 3,910 | $65,040 |
| Retail Trade · Sector | 3,420 | $66,310 |
| Casino Hotels · National industry | 2,730 | $57,330 |
| Management of Companies and Enterprises · Sector | 1,820 | $77,460 |
| Transportation and Warehousing · Sector | 1,490 | $72,590 |
| Real Estate and Rental and Leasing · Sector | 940 | $54,750 |
| Professional, Scientific, and Technical Services · Sector | 800 | $77,260 |
| Other Services (except Public Administration) · Sector | 590 | $53,330 |
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 |
|---|---|---|
| Casino Hotels · National industry | 17.76× | 2,730 |
| Nuclear Electric Power Generation · National industry | 14.17× | 240 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 8.65× | 35,620 |
| Arts, Entertainment, and Recreation · Sector | 5.25× | 6,320 |
| Management of Companies and Enterprises · Sector | 1.42× | 1,820 |
| Utilities · Sector | 1.21× | 320 |
| Real Estate and Rental and Leasing · Sector | 0.87× | 940 |
| Residential Mental Health and Substance Abuse Facilities · National industry | 0.85× | 100 |
Part of the Public Service & Safety career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for First-Line Supervisors of Security Workers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
First-Line Supervisors of Security Workers show 34th-percentile AI task overlap — and about 7,000 annual U.S. openings
First-Line Supervisors of Security Workers show 34th-percentile AI task overlap — and about 7,000 annual U.S. openings • First-Line Supervisors of Security Workers rank in the 34th 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 7,000 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 (+2.7%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $58,610, across about 70,310 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "First-Line Supervisors of Security Workers". https://singulariki.com/roles/role-33-1091-00 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.
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.
Singulariki. "First-Line Supervisors of Security Workers." 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. Accessed June 7, 2026. https://singulariki.com/roles/role-33-1091-00
Singulariki. (2026). First-Line Supervisors of Security Workers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-33-1091-00
@misc{singulariki-role-33-1091-00,
title = {First-Line Supervisors of Security Workers},
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. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-33-1091-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.