Stable

Last Update: 3/13/2026

Your role’s AI Resilience Score is

86.8%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
High

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

First-Line Supervisors of Police and Detectives

They lead and guide police officers and detectives, ensuring they follow rules and solve cases effectively to keep the community safe.

This role is stable

This career is labeled as "Stable" because it relies heavily on human judgment and personal trust, which AI cannot replace. Supervisors of police and detectives make important decisions, lead teams, and handle sensitive situations that require people skills and experience.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

This role is stable

This career is labeled as "Stable" because it relies heavily on human judgment and personal trust, which AI cannot replace. Supervisors of police and detectives make important decisions, lead teams, and handle sensitive situations that require people skills and experience.

Read full analysis

Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

Learn about this score
Stable iconStable

84.4%

84.4%

Microsoft's Working with AI

AI Applicability

Learn about this score
Stable iconStable

76.6%

76.6%

Will Robots Take My Job

Automation Resilience

Learn about this score
Stable iconStable

97.7%

97.7%

Althoff & Reichardt

Economic Growth

Learn about this score
Stable iconStable

87.6%

87.6%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

2.9%

Growth Percentile:

49.9%

Annual Openings:

10,900

Annual Openings Pct:

55.3%

Analysis of Current AI Resilience

Police/Detective Supervisor

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

As of today, most police supervisors’ tasks still rely on people. Routine paperwork like press releases or reports can be helped by AI tools, but only carefully. For example, one Seattle police supervisor tried ChatGPT to draft reports, prompting officials to warn that AI can make factual errors [1] [2].

In rare cases, departments are experimenting with AI for record-keeping or evidence (the FBI uses AI in fingerprint and face‐match systems, but humans double-check each match [3]).

Outreach and inspections see some tech help too. Agencies use AI to translate or generate community messages (a Florida sheriff’s office used an AI tool to make police videos in multiple languages [4]). Drones and even robot dogs are being tested to scamper through facilities or dangerous scenes.

For instance, Hong Kong police are trialing robot dogs for cell checks [5], and U.S. SWAT teams use drones and ground robots to scout hostage or barricade situations [6] [6]. These machines assist officers (keeping them safer) but don’t replace the humans.

Other core duties remain human jobs. Resolving staff problems or leading raids requires judgment and personal trust. No agency is letting AI run a disciplinary meeting or do an arrest.

In short, technology can help with data and safety (for example, scanning cameras or handling chores), but decisions and people-skills stay with real supervisors [2] [3].

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AI Adoption

AI in the real world

Police agencies adopt AI slowly because it must be precise and trusted. Specialized AI software can be expensive and needs training. Many local departments have tight budgets, so they spend extra money only if it clearly saves work [3] [7]. (Some did use federal grants to buy new cameras or analytics tools [7].) Human skills in policing are also hard to replace: officers still need to explain things in court, build community trust, and handle emergencies.

Legal and ethical concerns also slow AI. Citizens have high trust in police, so agencies must avoid mistakes or bias [3] [3]. For example, after hearing about a sergeant using ChatGPT for reports, Seattle’s oversight asked for clear AI rules [1], and some prosecutors now forbid AI-written incident reports to prevent errors [2].

In short, AI can help with routine analysis or writing drafts, but departments move carefully. They balance costs and benefits, always keeping officers in charge of final decisions [3] [3].

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More Career Info

Career: First-Line Supervisors of Police and Detectives

Employment & Wage Data

Median Wage

$105,980

Jobs (2024)

160,800

Growth (2024-34)

+2.9%

Annual Openings

10,900

Education

High school diploma or equivalent

Experience

Less than 5 years

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

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

95% ResilienceCore Task

Investigate and resolve personnel problems within organization and charges of misconduct against staff.

2

95% ResilienceCore Task

Conduct raids and order detention of witnesses and suspects for questioning.

3

95% ResilienceSupplemental

Direct release or transfer of prisoners.

4

90% ResilienceCore Task

Supervise and coordinate the investigation of criminal cases, offering guidance and expertise to investigators, and ensuring that procedures are conducted in accordance with laws and regulations.

5

90% ResilienceCore Task

Develop, implement and revise departmental policies and procedures.

6

90% ResilienceCore Task

Cooperate with court personnel and officials from other law enforcement agencies and testify in court as necessary.

7

90% ResilienceCore Task

Inspect facilities, supplies, vehicles, and equipment to ensure conformance to standards.

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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