Mostly Resilient

Last Update: 6/19/2026

AI Resilience Score for Protective Service Sup.:

58.4%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Low

Sustained economic opportunity

High

Our confidence in this score:
Low-medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient protective service supervision is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For protective service supervisors, only four of the seven sources had data, which is why confidence sits at low-medium. The sources that did weigh in mostly agreed: AI exposure looks low, pay and mobility are strong, but long-term hiring demand is weak. That mix of signals lands this career at "Mostly Resilient," with high economic opportunity pushing the score up.

AI Resilience Report forFirst-Line Supervisors of Protective Service Workers, All Other

$74,960 median salary2,100 annual openingsSOC Code: 33-1099.00

First-Line Supervisors of Protective Service Workers, All Other are somewhat more resilient to AI impacts than most occupations, according to our analysis of 4 sources.

This career is labeled "Mostly Resilient" because the core work of leading a team, making judgment calls in emergencies, handling discipline, and building trust with staff are all deeply human skills that AI simply cannot replicate. AI is stepping in to help with time-consuming tasks like reviewing video footage and checking reports, but that actually shifts the supervisor's role toward verifying AI output and coaching staff rather than eliminating the position entirely.

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This role is mostly resilient

This career is labeled "Mostly Resilient" because the core work of leading a team, making judgment calls in emergencies, handling discipline, and building trust with staff are all deeply human skills that AI simply cannot replicate. AI is stepping in to help with time-consuming tasks like reviewing video footage and checking reports, but that actually shifts the supervisor's role toward verifying AI output and coaching staff rather than eliminating the position entirely.

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Analysis of Current AI Resilience

Protective Service Sup.

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Protective Service Sup. jobs?

First-line supervisors of protective service workers—the people who lead teams of security officers, transit screeners, animal control workers, parking enforcers, and similar safety crews—are seeing AI show up mostly as a helper, not a replacement. The clearest shift is in paperwork and video review: AI dramatically reduces the burden of monitoring and reviewing the massive volumes of video produced by cameras and devices, and the National Policing Institute notes that AI-assisted tools now produce agency-level assessments of officer-community interactions on a weekly timescale rather than monthly [1]. Supervisors are increasingly responsible for reviewing reports their team members draft with generative AI; the Electronic Frontier Foundation reports that AI-written police reports have "proliferated at a disturbing rate" [2] since 2024, mostly through tools like Axon's Draft One.

Beyond reports, Police1 columnists describe 2026 as the year supervisors must "catch up" to officers already using AI [3], meaning their job is shifting toward verifying AI output, setting policy, and coaching staff. In private security, AI cameras flag intruders and cut false alarms, but the people who run shift schedules, handle emergencies, and discipline staff are still very much human.

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AI Adoption

How fast is AI adoption growing for Protective Service Sup.?

Adoption is moving forward but cautiously. On the speed-up side, Police Chief Magazine notes that algorithm-driven tools like facial recognition and license-plate readers are not new to the profession [4], so supervisors already understand the basics. Staffing shortages also push agencies to use AI as a force multiplier—93% of U.S. law enforcement agencies have fewer than 100 sworn officers, and only 38% of agency representatives surveyed by NPI in 2026 acknowledged currently using AI [1], leaving big room to grow.

Slowing things down are real legal and ethical worries: Brookings warns that AI tools in criminal justice have led to "wrongful arrests, unconstitutional surveillance, and the deprivation of liberty" [5] when poorly deployed, prompting new state regulations. Public trust, union contracts, and budget limits in small departments all slow rollout. The good news for young people eyeing this career: judgment, ethics, de-escalation, leadership, and emergency decision-making are exactly the human skills employers say they still need most—AI is becoming a tool you'll supervise, not a boss that replaces you.

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Will AI replace Protective Service Sup.?

Will AI replace Protective Service Sup.?

No. We don't think AI will replace First-Line Supervisors of Protective Service Workers, All Other, though we do expect the job to change.

Our scorecard gives this role a 58.4% AI Resilience Score, and that feels right to us. AI is already reshaping the day-to-day: supervisors now spend real time reviewing reports their officers draft with generative AI tools, which have spread quickly since 2024 [2]. Video monitoring is increasingly AI-assisted, and police1.com describes 2026 as the year supervisors need to catch up to officers already using these tools. The job is shifting toward verifying AI output, setting policy, and coaching staff rather than doing all the paperwork personally.

What stays human is the core of the role. De-escalation, emergency decisions, discipline, and ethical judgment are not things an algorithm handles well. Brookings has documented how poorly deployed AI in criminal justice has led to wrongful arrests and unconstitutional surveillance [5], which is exactly why you need experienced humans in charge of how these tools get used.

The economic picture is decent, with strong earning potential and reasonable adaptability. Job market growth is a weaker spot, so we would not count on a flood of new openings. But for people who build both leadership skills and AI literacy, this role has a real future.

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Latest AI news for Protective Service Sup.

These articles highlight the impact of AI on job security, especially for First-Line Supervisors of Protective Service Workers. For instance, the Brookings report indicates that while some workers may face displacement, those in supervisory roles can thrive by adapting to new technologies. Additionally, the Dallas Fed article points to a drop in employment in high AI exposure jobs, underscoring the importance of developing skills that enhance human oversight and decision-making. Embracing AI resilience will be key for students entering this field, as they can leverage technology to improve efficiency and effectiveness in their roles.

More Career Info

Career: First-Line Supervisors of Protective Service Workers, All Other

They oversee and guide teams that keep people safe, making sure everyone follows the rules and handles emergencies properly.

Employment & Wage Data

Median Wage

$74,960

Jobs (2024)

21,500

Growth (2024-34)

+1.6%

Annual Openings

2,100

Education

High school diploma or equivalent

Experience

Less than 5 years

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

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