First-Line Supervisors of Security Workers
In short: today's best AI models could do about 34% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 42% by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 58% of the time, stays with people.
Directly supervise and coordinate activities of security workers and security guards.
81,480 people do this job in the US. $55,940 a year.
Reviewed on October 1, 2026: what each task is made of, and what handing it over would ask.
A typical 40-hour week
- AI could take on1 h
- A person checks AI's work13 h
- Desk work AI can't do yet3 h
- Stays with people23 h
First-Line Supervisors of Security Workers, now: of a 40-hour week, AI could take on 1 hours, 13 hours become checking its work, 3 hours are desk work it can't do yet, and 23 hours stay with people.
The largest pieces: Write security procedures (about 6 h, a person checks); Watch the cameras (about 2 h, a person checks); Write patrol reports (about 1 h, a person checks).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 33%
- 10%
- 13%
- 21%
- 23%
Anthropic's data does not cover this job.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
What handing it over would take, now
The 34% within reach splits by what a model would need. The dates, pace and reliability follow the controls above. Estimates.
of the working time. The material can be handed to a model and the result handed back.
of the working time. The model has to be connected to the system the work lives in.
is conversation short enough by length. This site leaves conversation with people, so it is not in the total.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 1%. With Claude Mythos Preview (early), measured in April 2026, 15%. Today's estimate: 34%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
None of this job's 21 tasks showed up in the Claude.ai conversations Anthropic sampled in any of its 7 releases, from February 2025 to May 2026.
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates 30% of this job's working time as physical work. For 20% of the working time, a robot has been shown doing most of the task somewhere: 20% in a structured facility. 0.40 of 3, the 344th highest of the 923 jobs.
- Not physical 70%
- No robot shown 10%
- In a structured facility 20%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
What changes for the people in this job
From the task-by-task review, by the end of 2028 on the long-run pace at four in five. It says which parts of the work stay with people and which change, not whether anyone keeps a job: that depends on decisions no data set can see.
What stays with people
58% of the working time: the conversation, in-person and hands-on parts of the tasks.
- Patrol the premises, the hands-on work, 11%
- Hire security staff, the conversation, 9%
- Train security staff, the in-person work, 7%
- Investigate disturbances, the hands-on work, 5%
- Monitor officers' work, the in-person work, 4%
- Inspect security equipment, the hands-on work, 4%
What becomes checking the machine
39% of the working time: desk work a model could do by then, in tasks where a mistake costs something or a licensed person signs. A person checks it. Another 3% is desk work that is small if wrong, which can be handed over with lighter checks.
- Write security procedures, costly if wrong, 19%
- Watch the cameras, costly if wrong, 6%
- Prepare and present the budget, costly if wrong, 5%
- Hire security staff, costly if wrong, 4%
- Write patrol reports, costly if wrong, 3%
- Schedule drills and training, costly if wrong, 0.8%
What to learn
- Reviewing work you did not do yourself. The tasks under What becomes checking the machine, where a mistake costs something, stay a person's to check: spotting what a draft gets wrong is a skill of its own.
- The conversations. About 34% of the time is conversation and in-person work, which this site leaves with people: listening, explaining, persuading, calming.
- Briefing a model and checking its drafts. About 33% of the time is documents and data, the part models reach first: writing a clear brief, giving the right material, and checking what comes back.
- The hands-on craft. About 23% of the time is hands-on work, which no model here does; robots are rated separately on this page.
- Dealing with people outside the organization. Customers, patients, suppliers or the public: trust with them is built by a person.
Your own version of this job: read it against your job description. The headline is free; the full personal report, every task with its timeline and what to learn, is $19 (a sample).
The tasks
Sorted by . 21 tasks from .
| Task | ||||
|---|---|---|---|---|
| Develop and document security procedures, policies, or standards.Writing the procedures.Done more than yearly by most who do it. | 19% | 5 h1.7 h to 2.1 work days | Documents 100% | 73%Half by now |
| Recruit, interview, and hire security personnel.Interviews, with the applications and records.Done more than yearly by most who do it. | 13% | 5 h1.7 h to 1.6 work days | Conversation 70%, documents 30% | 25%Desk part half by now |
| Patrol the premises to prevent or detect intrusion, protect property, or preserve order.Walking the rounds.Done daily by most who do it. Robots: in a structured facility, Cobalt Robot (Cobalt AI / Cobalt Robotics) (sold). Anthropic's rating. | 11% | 50 min25 min to 1.7 h | Hands-on 100% | Stays with people |
| Write and present department budgets to upper management or other stakeholders.The budget written and presented to management.Done yearly or less by most who do it. | 7% | 1 work day2.5 h to 3.1 work days | Documents 70%, conversation 30% | 36%Desk part half by now |
| Train security personnel on protective procedures, first aid, fire safety, and other duties.Training sessions in person.Done yearly or less by most who do it. | 7% | 2.5 h50 min to 5 h | In person 100% | Stays with people |
| Monitor closed-circuit television cameras.Screens watched from the control room.Done more than yearly by most who do it. | 6% | 50 min25 min to 2.5 h | Systems 100% | 100%Half by now |
| Investigate disturbances on the premises, such as security alarms, altercations, and suspicious activity.Going to the alarm or the altercation and dealing with it.Done daily by most who do it. Robots: in a structured facility, Cobalt Robot (Cobalt AI) (deployed). Anthropic's rating. | 5% | 38 min13 min to 2.5 h | Hands-on 60%, in person 40% | Stays with people |
| Monitor and authorize entry of employees, visitors, or other persons.Checking people in at the gate or desk, with the log.Done hourly or more by most who do it. | 4% | 17 min8 min to 33 min | In person 60%, systems 20%, hands-on 20% | 20%Desk part half by now |
| Monitor the behavior of security employees to ensure adherence to quality standards, deadlines, or procedures.Checking on the officers at their posts.Done daily by most who do it. | 4% | 38 min17 min to 1.7 h | In person 100% | Stays with people |
| Inspect and adjust security equipment to ensure it is operational or to detect evidence of tampering.Checking the equipment by hand.Done daily by most who do it. Robots: no robot shown. Anthropic's rating. | 4% | 38 min13 min to 1.7 h | Hands-on 100% | Stays with people |
| Secure entrances and exits by locking doors and gates.Locking doors and gates.Done daily by most who do it. Robots: in a structured facility, Verkada Command door schedules / powered locks (sold). Anthropic's rating. | 4% | 25 min8 min to 50 min | Hands-on 100% | Stays with people |
| Write reports documenting observations made while on patrol.The written report.Done daily by most who do it. | 3% | 25 min13 min to 1.3 h | Documents 100% | 100%Half by now |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach. Made of: how the task's time splits among five kinds of doing. Only the documents and systems parts can count as within reach, so a task that is 30% documents can be at most 30% within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
- Security Managers34% now, 56% by 2028
- First-Line Supervisors of Office and Administrative Support Workers54% now, 58% by 2028
- First-Line Supervisors of Passenger Attendants32% now, 33% by 2028
- Security Management Specialists45% now, 74% by 2028
- First-Line Supervisors of Housekeeping and Janitorial Workers43% now, 44% by 2028
- Security Guards14% now, 14% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of First-Line Supervisors of Security Workers is within reach of AI now?
- An estimated 34% of the working time is within reach of AI models now and 42% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of First-Line Supervisors of Security Workers come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Write security procedures (73% of the task's time now, 100% by the end of 2028); Watch the cameras (100% of the task's time now); and Write patrol reports (100% of the task's time now).
- Which tasks of First-Line Supervisors of Security Workers stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Patrol the premises; Train security staff; and Investigate disturbances. Together such tasks are about 39% of the working time, and the people and body parts of the other tasks stay with people too.
- What should First-Line Supervisors of Security Workers learn as AI takes on more of the work?
- By the job's own task-by-task review, the first things to learn are reviewing work you did not do yourself; the conversations; and briefing a model and checking its drafts. By the end of 2028 on the long-run pace at four in five, about 58% of the working time stays with people, 39% becomes checking a model's work and 3% could be handed over with lighter checks. It says which parts of the work change, never whether anyone keeps a job.
- Do people already use AI for the work of First-Line Supervisors of Security Workers?
- In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of First-Line Supervisors of Security Workers?
- Anthropic's robot exposure rating (September 2026) finds 30% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 20% of the working time, 20% in a structured facility. Its index is 0.40 of 3. One example: Cobalt Robot (Cobalt AI / Cobalt Robotics) for "patrol the premises". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
- How is this estimated?
- From the 21 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, reviewed one task at a time on October 1, 2026 for what each is made of (documents, business systems, conversation, in person, hands-on), and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
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