Security Management Specialists
In short: today's best AI models could do about 45% 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 74% by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 25% of the time, stays with people.
Conduct security assessments for organizations, and design security systems and processes. May specialize in areas such as physical security or the safety of employees and facilities.
$83,050 a year (for the broader BLS group this job sits in).
Reviewed on September 30, 2026: what each task is made of, and what handing it over would ask.
A typical 40-hour week
- AI could take on0 h
- A person checks AI's work18 h
- Desk work AI can't do yet12 h
- Stays with people10 h
Security Management Specialists, now: of a 40-hour week, AI could take on 0 hours, 18 hours become checking its work, 12 hours are desk work it can't do yet, and 10 hours stay with people.
The largest pieces: Analyze security risks (about 2 h, a person checks); Assess physical threats (about 2 h, a person checks); Recommend security improvements (about 2 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.
- 66%
- 9%
- 1%
- 3%
- 21%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
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 45% 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, 0%. With Claude Mythos Preview (early), measured in April 2026, 6%. Today's estimate: 45%.
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
Of the Claude.ai conversations Anthropic sampled and tied to a work task, 0.042% went to this job's tasks in May 2026, the 248th largest of the 447 jobs that showed up at all; 2 of its 23 tasks showed up. Within each of Anthropic's methods, never across a change: 0.49% to 0.25% (released February and March 2025); 0.14% to 0.11% (August 2025 to February 2026); 0.045% to 0.042% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.49% | 36 of 708 | 13 of 23 |
| Released March 2025 | 0.25% | 79 of 703 | 10 of 23 |
| The week of Aug 4, 2025 (released September 2025) | 0.14% | 129 of 655 | 8 of 23 |
| The week of Nov 13, 2025 (released January 2026) | 0.078% | 184 of 672 | 8 of 23 |
| The week of Feb 5, 2026 (released March 2026) | 0.11% | 150 of 677 | 9 of 23 |
| April 2026 (released June 2026) | 0.045% | 239 of 434 | 2 of 23 |
| May 2026 (released June 2026) | 0.042% | 248 of 447 | 2 of 23 |
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 22% of this job's working time as physical work. For 3% of the working time, a robot has been shown doing most of the task somewhere: 3% in a structured facility. 0.05 of 3, the 583rd highest of the 923 jobs.
- Not physical 78%
- No robot shown 19%
- In a structured facility 3%
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
25% of the working time: the conversation, in-person and hands-on parts of the tasks.
- Design and implement surveillance systems, the hands-on work, 5%
- Assess physical threats, the hands-on work, 4%
- Install and repair security systems, the hands-on work, 3%
- Inspect security systems, the hands-on work, 2%
- Oversee security contractors, the in-person work, 2%
- Test and accept security measures, the hands-on work, 2%
What becomes checking the machine
73% 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.
- Analyze security risks, severe if wrong, 8%
- Review surveillance recordings, costly if wrong, 8%
- Design and implement surveillance systems, severe if wrong, 7%
- Recommend security improvements, severe if wrong, 7%
- Design security policies, severe if wrong, 6%
- Assess physical threats, severe if wrong, 6%
What to learn
- Judgment where errors are severe. Some tasks are severe if wrong. Knowing when not to trust an output matters more there than speed.
- 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.
- Briefing a model and checking its drafts. About 66% 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 21% of the time is hands-on work, which no model here does; robots are rated separately on this page.
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 . 23 tasks from .
| Task | ||||
|---|---|---|---|---|
| Design, implement, or establish requirements for security systems, video surveillance, motion detection, or closed-circuit television systems to ensure proper installation and operation.Design at the desk and the installation checked on site.Done more than monthly by most who do it. | 13% | 2.1 work days3.3 h to 1.7 work weeks | Documents 60%, hands-on 40% | 9%Desk part half by Oct 2027 |
| Assess the nature and level of physical security threats so that the scope of the problem can be determined.A look at the site and the analysis written.Done more than monthly by most who do it. | 10% | 3.3 h1.7 h to 1.7 work days | Documents 60%, hands-on 40% | 55%Desk part half by now |
| Perform risk analyses so that appropriate countermeasures can be developed.Analysis at the desk.Done more than yearly by most who do it. AI observed on this task. | 8% | 6.7 h3.3 h to 3.3 work days | Documents 100% | 69%Half by now |
| Monitor tapes or digital recordings to identify the source of losses.Watching the recordings.Done more than weekly by most who do it. | 8% | 2.5 h25 min to 1.7 work days | Systems 100% | 56%Half by now |
| Recommend improvements in security systems or procedures.Written recommendations.Done more than yearly by most who do it. | 7% | 3.3 h50 min to 1.7 work days | Documents 100% | 71%Half by now |
| Design security policies, programs, or practices to ensure adequate security relating to alarm response, access card use, and other security needs.Policy written at the desk.Done more than yearly by most who do it. | 6% | 1.3 work days3.3 h to 4.2 work days | Documents 100% | 44%Half by Dec 2026 |
| Provide system design and integration recommendations.Written recommendations.Done more than yearly by most who do it. AI observed on this task. | 6% | 5 h1.7 h to 2.5 work days | Documents 100% | 67%Half by now |
| Develop conceptual designs of security systems.Design at the desk.Done more than yearly by most who do it. | 5% | 1.3 work days3.3 h to 3.3 work days | Documents 100% | 50%Half by now |
| Engineer, install, maintain, or repair security systems, programmable logic controls, or other security-related electronic systems.Hands-on work on the systems and their controllers.Done more than monthly by most who do it.Robots: no robot shown. Anthropic's rating. | 5% | 6.7 h1.7 h to 3.3 work days | Hands-on 70%, systems 30% | 14%Desk part half by Dec 2026 |
| Develop or review specifications for design or construction of security systems.Specifications at the desk.Done yearly or less by most who do it. | 4% | 6.7 h1.7 h to 3.3 work days | Documents 100% | 46%Half by Dec 2026 |
| Test security measures for final acceptance and implement or provide procedures for ongoing monitoring and evaluation of the measures.Testing on site and the procedures written.Done more than yearly by most who do it. AI observed on this task.Robots: no robot shown. Anthropic's rating. | 4% | 6.7 h1.7 h to 2.5 work days | Documents 50%, hands-on 50% | 28%Desk part half by now |
| Review design drawings or technical documents for completeness, correctness, or appropriateness.Reading the drawings for gaps.Done more than yearly by most who do it. | 3% | 2.5 h50 min to 1.3 work days | Documents 100% | 87%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
- Digital Forensics Analysts67% now, 98% by 2028
- Compliance Managers42% now, 74% by 2028
- Management Analysts37% now, 85% by 2028
- Retail Loss Prevention Specialists43% now, 50% by 2028
- Health and Safety Engineers, Except Mining Safety Engineers and Inspectors35% now, 73% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025). Counts are for the broader BLS group this job sits in.
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025). Counts are for the broader BLS group this job sits in.
Questions about this job
- How much of the work of Security Management Specialists is within reach of AI now?
- An estimated 45% of the working time is within reach of AI models now and 74% by the end of 2028, on METR's long-run pace at four in five (69% to 75% across the three paces the site shows). 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 Security Management Specialists 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: Analyze security risks (69% of the task's time now, 100% by the end of 2028); Assess physical threats (55% of the task's time now, 60% by the end of 2028); and Recommend security improvements (71% of the task's time now, 100% by the end of 2028).
- Which tasks of Security Management Specialists stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Inspect security systems; and Respond to emergencies. Together such tasks are about 4% of the working time, and the people and body parts of the other tasks stay with people too.
- What should Security Management Specialists learn as AI takes on more of the work?
- By the job's own task-by-task review, the first things to learn are judgment where errors are severe; reviewing work you did not do yourself; and briefing a model and checking its drafts. By the end of 2028 on the long-run pace at four in five, about 25% of the working time stays with people, 73% becomes checking a model's work and 0% 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 Security Management Specialists?
- In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.042% went to this job's tasks, the 248th largest share of the 447 jobs that showed up; 2 of its 23 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 18%. 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 Security Management Specialists?
- Anthropic's robot exposure rating (September 2026) finds 22% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 3% of the working time, 3% in a structured facility. Its index is 0.05 of 3. One example: Spot + Orbit 5.0 (Automated Visual Inspection) for "inspect security systems". 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 23 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 September 30, 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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