Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.
AI Resilience Report for
They keep communities safe by patrolling neighborhoods, responding to emergencies, and enforcing laws to protect people and property.
Summary
The career of Police and Sheriff's Patrol Officers is labeled as "Evolving" because AI is being integrated to handle routine tasks like drafting reports and analyzing data, allowing officers to focus more on critical human-centered duties. This means officers will need to adapt by learning to use new technology, but the core responsibilities that require human judgment, empathy, and presence are still essential and can't be replaced by machines.
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Learn more about how you can thrive in this position
Summary
The career of Police and Sheriff's Patrol Officers is labeled as "Evolving" because AI is being integrated to handle routine tasks like drafting reports and analyzing data, allowing officers to focus more on critical human-centered duties. This means officers will need to adapt by learning to use new technology, but the core responsibilities that require human judgment, empathy, and presence are still essential and can't be replaced by machines.
Read full analysisContributing Sources
AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
High Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Police & Sheriff Patrol
Updated Quarterly • Last Update: 11/21/2025

State of Automation & Augmentation
Some routine police tasks are already being helped by technology. For example, new AI tools can listen to officers’ body-camera audio and draft incident reports in minutes [1] [2]. Officers then check and edit the report, saving hours of paperwork while keeping control of the facts.
Companies like Axon and Motorola have AI “assistants” that pull data (like license-plate or ID scans) from voice or video and speed up report-writing by roughly 40% [1] [2]. Emergency dispatch is also seeing AI help: one start-up’s voice bot now handles many 911 non-emergency calls, freeing human dispatchers to focus on real emergencies [3] [4]. In many U.S. cities police are using AI-powered drones too, for example to survey crash scenes or even deliver medical aid (like Narcan for overdoses) before officers arrive [4] [4].
However, many core police duties still rely on people. Tasks that need human judgment, empathy or presence (like giving first aid to an accident victim, testifying in court, or escorting a crowd) aren’t automated. No AI or robot can yet make a victim feel cared for or stand in open court.
Instead, these tools are augmenting officers—doing the repetitive digital work so officers can spend more time talking to people, leading a procession, or making quick decisions on scene [1] [4]. In short, reporting and data entry are being automated or sped up, but hands-on work still needs a real person.

AI Adoption
Agencies may adopt AI tools faster if they see clear payoff and have the budget. Many departments face staffing shortages, so technologies that save time are attractive [5] [4]. Surveys show under-staffed forces want “force multipliers” – tools that do routine jobs so officers can patrol more or solve crimes faster [5] [4].
Affordable, off-the-shelf AI (like speech-to-text software) makes report writing easier, and hobbyist drones are cheaper than extra patrol cars. Grants and programs (like Ohio’s “Drones for First Responders”) can help pay for these tools [4] [4]. In practice, cities have seen crime drop after adding AI drones for search and rescue, license-plate reads, or crowd monitoring [4] [4].
On the other hand, real-world challenges slow AI adoption. Police budgets are tight, and departments must train officers on new tech [5] [4]. Public and legal concerns also matter a lot: people worry about privacy and fairness (e.g. facial-recognition errors or AI bias), so agencies tread carefully [4] [4].
As one Seattle watchdog noted, using generative AI even for reports must be governed by policy to prevent mistakes or misuse [4]. In summary, law enforcement is adding some AI where it clearly boosts efficiency, but it’s doing so slowly and with oversight. The human skills of judgment, ethics, and compassion remain central to policing, and new tools are used to support officers rather than replace them [5] [4].

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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.
Render aid to accident victims and other persons requiring first aid for physical injuries.
Testify in court to present evidence or act as witness in traffic and criminal cases.
Act as official escorts, such as when leading funeral processions or firefighters.
Identify, pursue, and arrest suspects and perpetrators of criminal acts.
Investigate traffic accidents and other accidents to determine causes and to determine if a crime has been committed.
Photograph or draw diagrams of crime or accident scenes and interview principals and eyewitnesses.
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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