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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
Police and Sheriff's Patrol Officers are more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
This career is labeled as "Resilient" because even though AI tools are being used in policing, they primarily assist rather than replace officers. The core duties, like making arrests, providing first aid, offering comfort in emergencies, and testifying in court, rely on human judgment, empathy, and physical presence—skills that AI cannot replicate.
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
This career is labeled as "Resilient" because even though AI tools are being used in policing, they primarily assist rather than replace officers. The core duties, like making arrests, providing first aid, offering comfort in emergencies, and testifying in court, rely on human judgment, empathy, and physical presence—skills that AI cannot replicate.
Read full analysisAnalysis of Current AI Resilience
Police & Sheriff Patrol
Updated Quarterly • Last Update: 2/17/2026

Today, AI tools are helping with some policing tasks – but they are still mostly assistants, not replacements. For paperwork, new systems can turn body-camera recordings into written reports, saving officers hours of writing [1] [1]. In cities like Philadelphia and Chesterfield (VA), AI-driven cameras on buses and street corners automatically spot traffic violators and even issue tickets [1] [1].
Patrol duties are getting tech help too: over 1,500 U.S. police departments now use drones for surveillance, search-and-rescue and even delivering emergency medicine, providing aerial views that human officers alone can’t easily get [1] [1]. Automated license-plate readers on patrol cars scan thousands of plates every hour to flag suspects or stolen vehicles [1]. These tools “gather evidence” and direct officers where to act [1] [1], but they don’t replace the human officer.
Many core tasks remain firmly human. We found no examples of AI that can physically arrest a suspect, carry someone to safety, or comfort an accident victim. First aid and courtroom testimony still require a person’s judgment and presence.
In fact, even advocates of policing AI emphasize that it’s “just another tool” – the final decisions and talk-tos belong to human officers [1] [1]. In short, AI and cameras can automate data collection (license plates, videos, radio logs) and speed up report-writing [1] [1], but patrol officers’ core duties – especially anything involving care, ethics or personal contact – remain human.

Police agencies have reasons to try AI quickly. Many departments face staff shortages and rising demands, so tools that cut paperwork or boost surveillance are attractive [1] [1]. For example, automating report-writing lets officers “get back on patrol” faster [1], and AI drones can survey large areas or find missing people more cheaply than dozens of extra officers [1] [1].
Cities and counties are piloting AI projects (like traffic cameras and drone pilots) in the hope of improving safety without adding as much cost for overtime or new hires [1] [1]. When budgets allow it, departments invest in cameras and software that promise long-term savings in staff time as crime analysts or dispatch helpers.
At the same time, adoption is cautious and uneven. High-tech gear isn’t cheap: for instance, Des Moines spent about \$1.5 million on 130 automatic license‐plate cameras [1], a big sum for most police budgets. And legal/ethical concerns slow things down.
Civil-rights groups warn that AI surveillance (body cams, facial scans, license readers) can invade privacy or amplify bias [1] [1]. After public scrutiny, some cities even halted AI pilots: Seattle stopped a body‐cam analysis program amid privacy protests [1]. In other words, leaders weigh the costs and the public trust issues before going full-steam.
Advocates emphasize that AI tools still need human oversight and can’t replace personal skills. This means AI is likely to grow as a helpful assistant (for spotting violations or speeding up reports) rather than taking over the job completely [1] [1]. Young people interested in policing can take heart: even as technology evolves, teamwork, empathy, and judgment are skills only people provide.

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They keep communities safe by patrolling neighborhoods, responding to emergencies, and enforcing laws to protect people and property.
Median Wage
$76,290
Jobs (2024)
698,800
Growth (2024-34)
+3.1%
Annual Openings
53,700
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Provide for public safety by maintaining order, responding to emergencies, protecting people and property, enforcing motor vehicle and criminal laws, and promoting good community relations.
Identify, pursue, and arrest suspects and perpetrators of criminal acts.
Testify in court to present evidence or act as witness in traffic and criminal cases.
Drive vehicles or patrol specific areas to detect law violators, issue citations, and make arrests.
Render aid to accident victims and other persons requiring first aid for physical injuries.
Monitor, note, report, and investigate suspicious persons and situations, safety hazards, and unusual or illegal activity in patrol area.
Investigate illegal or suspicious activities.
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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