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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
Managers, All Other are more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
The career of Managers, All Other in security is labeled as "Resilient" because, while AI can handle routine tasks like monitoring and sorting data, it can't replace human judgment and empathy. Security managers are crucial for making quick, high-pressure decisions in emergencies and for creating policies that require understanding people's rights and feelings.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is resilient
The career of Managers, All Other in security is labeled as "Resilient" because, while AI can handle routine tasks like monitoring and sorting data, it can't replace human judgment and empathy. Security managers are crucial for making quick, high-pressure decisions in emergencies and for creating policies that require understanding people's rights and feelings.
Read full analysisAnalysis of Current AI Resilience
Managers, All Other
Updated Quarterly • Last Update: 2/17/2026

Today’s AI tools can handle many routine security tasks. For example, AI-driven video analytics are already used to watch surveillance cameras 24/7 and flag fights, weapons, or intruders [1] [2]. Software can even transcribe and search hours of police or security video to help investigations [2].
AI also helps link and scan security data from cameras, badge scanners, or alarms. Integrated systems (“smart” cameras plus access control) can spot unusual patterns so humans only get alerted about likely problems [3] [1]. These tools are “force multipliers” – they alert the security manager or guard, who then makes the judgment call [1] [1].
However, tasks needing human judgment are still mostly done by people. Responding to a bomb threat, fire alarm or medical emergency means making quick decisions under pressure – something AI only assists with (for example, by helping triage calls or map smoke-filled rooms) [4] [1]. Creating policies to prevent harassment or violence also relies on understanding people’s feelings and rights, so it’s not really automated.
In short, AI can do the “scanning and sorting” part of security work [1] [3], but final decisions and caring for people are kept human [1] [4].

AI tools for security are becoming widely available and attractive. Modern cloud-based surveillance and analytics systems can be bought or subscribed to right now, and many companies are already moving data to the cloud and adding AI features [3] [3]. With security managers earning a good salary (around \$104K median [5]), businesses may see AI as a cost-saving investment for routine work.
Yet deployment depends on several factors. Sensitive issues like privacy and safety mean users expect AI to be fair and explainable – for instance, 85% of security tech buyers say they require responsible AI use [1]. New laws and rules (such as recent U.S. and EU AI regulations [1]) also guide how fast and where AI can be used.
In short, the field already has many AI tools ready, but adoption is careful. Companies weigh the benefits of automation (faster monitoring, fewer missed alerts) against costs, needed training, and trust. Experts emphasize that these AI tools should support people, not replace them [1] [4].
This means security managers will still be needed for the people skills – with AI handling the “busywork” of scanning data and video [1] [1], they can focus on analysis, leadership and caring for staff and the public.

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They oversee various projects or teams, making sure everything runs smoothly by planning, directing, and coordinating different activities.
Median Wage
$136,550
Jobs (2024)
1,333,700
Growth (2024-34)
+4.5%
Annual Openings
106,700
Education
Bachelor's degree
Experience
Less than 5 years
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Prepare reports or make presentations on internal investigations, losses, or violations of regulations, policies and procedures.
Attend meetings, professional seminars, or conferences to keep abreast of changes in executive legislative directives or new technologies impacting security operations.
Respond to medical emergencies, bomb threats, fire alarms, or intrusion alarms, following emergency response procedures.
Analyze and evaluate security operations to identify risks or opportunities for improvement through auditing, review, or assessment.
Develop, implement, manage, or evaluate policies and methods to protect personnel against harassment, threats, or violence.
Support efforts to reduce substance abuse or other illegal activities in the workplace.
Coordinate security operations or activities with public law enforcement, fire and other agencies.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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