← Risk register SOC 33-1091 · reviewed 2026-08-11

First-Line Supervisors of Security Workers

81,480 US workers · median $55,940/yr · Protective Service

EXPOSED

The modal security supervisor spends most of the day physically on a site — walking posts, briefing officers, responding to incidents, de-escalating confrontations, coordinating with police and building management — which robotics and language models cannot do. The paperwork layer (shift scheduling, post orders, incident report drafting, payroll and compliance logs, camera-footage review triage) is squarely automatable and is already being compressed by workforce-management software and video analytics. Most states license the officers and often the supervisor, but that shield is thin and regulatory rather than a personal-liability signature like a physician's or engineer's.

10-year outlook: Headcount holds roughly flat but the span of control widens — one supervisor covering more sites with analytics doing the monitoring — so the report-writing, monitoring-desk end of the role thins while incident command and client advisory hold.

US employment, 2021–2025+46.9%
55,45081,480 workers

Headcount grew steadily across the period.

The job count is not the verdict

This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.

So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing.

BLS projection, 2024–2034

+2.7% 71,900 → 73,800 on the projections basis

Growing, and only partly exposed

The BLS expects +2.7% more of these jobs by 2034, and at 60/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.

Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.

~7,000 openings a year on average, including replacing people who leave.

One email if this score changes. Watch as many occupations as you like from the same address — no account, and nothing is sent on a schedule, only when a verdict actually moves.

Also known as — 24 job titles this covers

Titles reported by people doing this work, from the US Department of Labor's O*NET survey. If your job title is here, this page is about your work even though the name doesn't match.

Guard ChiefGuard CaptainSecurity ChiefSite SupervisorGuard SupervisorOfficer SergeantSecurity ManagerShift SupervisorSafety SupervisorSecurity DirectorCampus Safety ChiefSecurity LieutenantSecurity SupervisorArmed Site SupervisorProtection SupervisorPublic Safety ManagerPublic Safety SupervisorSecurity Site SupervisorArmed Security SupervisorInternal Security ManagerSecurity Field SupervisorSecurity Floor SupervisorSecurity Guard SupervisorSecurity Shift Supervisor

Score — 60/100 resistance

Holding it up: embodiment (15/20). Weakest point: liability shield (8/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 13 + 15 + 8 + 11 + 13 = 60. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 13/20

Mixed — a routine tier and a judgment tier Scheduling coverage across three shifts, generating post orders, compiling incident reports and triaging hours of camera footage are all being absorbed by Trackforce/Silvertrac-type platforms and video analytics, which is why this sits at 13 rather than 17 — but the parts that keep it above the midpoint (standing a post handover, walking a perimeter at 3am with a new officer, physically separating two people in a lobby) have no software substitute.

Embodiment 15/20

Hands-on in uncontrolled environments You are on-site in parking structures, loading docks, hospital ERs and construction perimeters in whatever weather, responding to alarms on foot and putting hands on people during an escort or restraint — a 15 rather than 18 only because a meaningful slice of the week is spent in a console room or office doing rosters and reports.

Liability shield 8/20

Certification preferred, not legally required Most states require a guard card and many require a separate supervisor or qualified-manager registration (California's PPO qualified manager, New York's 47-hour supervisor training), so the 8 reflects a real statutory gate — but the exposure for a bad use-of-force call typically lands on the contract security firm and its insurer, not on your personal licence in the way a nurse's RN or a PI's licence is personally revocable and suable.

Trust premium 11/20

Some relationship component Client property managers and facility directors ask for you by name and officers will work a double for a supervisor they respect but walk off for one they don't — that relational hold puts it at 11, capped below 13 because the contract is with the security company and you can be swapped at a client's request without the account being lost.

Judgment & accountability 13/20

Meaningful discretion You decide in seconds whether to detain, whether to call 911, whether an intoxicated person gets escorted or arrested, and whether to pull an officer off a post mid-shift — real discretion with legal and physical consequences, held to 13 because post orders, client escalation trees and company use-of-force policy define the outer boundaries of most of those calls before you make them.

Confidence: medium · reviewed 2026-08-11 · how scoring works

What this job involves — and which parts are yours

The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.

AI already does these at usable quality

These still need a person

Active moats on the surviving side: embodiment, physical-presence, judgment

How to future-proof this job

Training paths for your skill gaps: MIT OpenCourseWare — full course materials across every department, free free · Learning How to Learn — the most-taken course on Coursera, and free free to audit · Coursera — teaching and instructional design, audit free free to audit · Coursera — negotiation, influence and persuasion courses free to audit · Coursera — engineering and procurement courses, auditable without paying free to audit · OSHA Outreach Training — the 10- and 30-hour cards most employers ask for low · edX — operations management and process monitoring courses free to audit · Khan Academy — mathematics, arithmetic through calculus free

All 35 skills ranked by how many jobs they open →

Where this experience transfers — occupations you could move toward

Computed from U.S. Dept. of Labor O*NET skill and knowledge profiles: high overlap with what you already do, a materially higher resistance score, no large jump in required training, and no licence you would have to start a new pipeline to get. Targets that pay meaningfully less, that are themselves COOKED, or whose own headcount is falling are excluded — a move into a shrinking trade is not an escape.

First-Line Supervisors of Police and Detectives SAFE · 76/100 · you already have ~77% of the skill profile

Skills to close: Active Learning, Learning Strategies, Instructing, Persuasion

First-Line Supervisors of Firefighting and Prevention Workers SAFE · 80/100 · you already have ~70% of the skill profile

Skills to close: Equipment Selection, Operation and Control, Operations Monitoring, Mathematics

Transit and Railroad Police SAFE · 73/100 · you already have ~62% of the skill profile

Skills to close: Operation and Control

What would move this back up — beyond any one person

The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 78/100 — SAFE.

5 specific changes that would raise this score
  • already happening judgment accountability +4

    Task-mix shift: if scheduling, report drafting and camera triage are absorbed by workforce-management and video-analytics software, the residual role concentrates into use-of-force decisions, detain/release calls, evacuation and active-threat command, and police handoff — all irreducibly ambiguous and consequential. Watch for job postings that drop administrative duties and add incident-command certification (ICS-100/200).

  • already happening task resistance +3

    Same two-tier shift: the automatable paperwork tier leaving means the measured day is de-escalation, officer discipline, training delivery, and live incident response. Task_resistance rises arithmetically even as capability improves — but note this also shrinks headcount per site, so the occupation gets more resistant and smaller at once.

  • plausible liability shield +5

    State licensing boards (e.g., California BSIS, New York DCJS, Texas DPS PSB) extending the existing qualified-manager/licensee model so that a named, personally licensed supervisor must sign off on use-of-force incident reports, detention/citizen's-arrest records, and armed-post assignments — with the signature attaching personal license revocation exposure. California already requires a Qualified Manager for each PPO license; making incident-level countersignature and AI-generated report attestation part of that duty is a narrow, visible rule change.

  • plausible liability shield +3

    Insurer requirements: carriers writing security-contractor E&O/general liability mandating a named supervisor of record on site for armed or crowd-control posts as a policy condition, mirroring how construction GL demands a qualified competent person. Also plausible via post-incident litigation making the supervisor's documented on-scene judgment the defensible fact.

  • plausible trust premium +3

    Buyer-side: corporate and school-district security RFPs specifying a named human supervisor physically present per shift rather than a remote monitoring center — driven by post-incident liability and by parent/tenant pressure after high-profile failures of remote-monitored sites. Union contracts (SEIU Local 32BJ, which represents building security in NYC) bargaining supervisor-to-officer ratio floors would harden this.

The limit. Even with the licensing and buyer-side levers, this occupation is capped well below professions with true personal-signature liability: security supervision is a cost center, procurement is price-driven, and remote monitoring centers plus analytics reduce the number of supervisors needed per contract regardless of how resistant each remaining role becomes. The realistic top is roughly the mid-70s, with fewer people in it.

These are conditions, not forecasts — what would have to happen, not what will. Specific rules, cases and bills are named so you can go and check whether they exist and where they stand; verify before relying on any of them. Nothing here is legal or financial advice.

Where this work is, and what it pays there

BLS metro figures for 220 areas. The verdict above does not change by city — the rubric judges what the work involves, not where it happens — but pay and headcount do, and the national median hides a very wide range.

Most of these jobs

New York-Newark-Jersey City, NY-NJ 7,310 $59,890 +7%
Los Angeles-Long Beach-Anaheim, CA 4,240 $49,900 -11%
Miami-Fort Lauderdale-West Palm Beach, FL 2,900 $47,720 -15%
Washington-Arlington-Alexandria, DC-VA-MD-WV 2,400 $73,490 +31%
Las Vegas-Henderson-North Las Vegas, NV 2,240 $53,160 -5%
Dallas-Fort Worth-Arlington, TX 2,160 $46,910 -16%
Chicago-Naperville-Elgin, IL-IN 2,120 $58,990 +5%
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 1,960 $48,650 -13%

Best paid

Chattanooga, TN-GA 180 $100,340 +79%
Lafayette-West Lafayette, IN 40 $89,610 +60%
Norwich-New London-Willimantic, CT 30 $85,540 +53%

Percentages are against this occupation's national median of $55,940. Counts are jobs in that metro, not vacancies. Metros where the BLS suppressed the cell are absent rather than shown as zero.

Who is actually doing this — nobody, on the record

We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.

That is worth saying out loud next to a score of 60. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.

Read that as a gap in the reporting we can see, not proof of absence — the dispatch runs on English-language feeds and misses plenty. If you know of a case, tell us, or add a field report from inside the job.

Quick take — do you do this job?

Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.

Self-reported and unverified — a sentiment signal, not a survey. One response per person per occupation; you can change your answer.

Field reports — what people say has changed

No field reports yet. A written account takes a paragraph rather than a tap, goes to an editor before it appears, and is the one thing on this page the rubric cannot produce on its own.

File a field report

Concrete beats general: a tool that arrived, a task that moved, a headcount decision you watched happen. Don't include anything that identifies you or your employer if that would put you at risk.

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