---
title: "Will AI Replace First-Line Supervisors of Police and Detectives?"
description: "BLS rates first-line supervisors of police and detectives' exposure to AI as moderate. What that means, which parts of the work AI touches, and the…"
canonical: "https://nuecareer.com/careers/will-ai-replace-first-line-supervisors-of-police-and-detectives"
last-updated: "2026-10-15T08:19:32.066Z"
---

# Will AI Replace First-Line Supervisors of Police and Detectives? (2026)

**Short answer:** Unlikely. BLS rates the work's exposure to AI as moderate, below the middle of the pack, and still projects employment to grow.

The Bureau of Labor Statistics places first-line supervisors of police and detectives in its moderate AI exposure category, below the middle of the pack: some of the work overlaps with what AI can do, much of it does not. BLS projects employment to change by +3.3% over 2025–2035, against 3.5% for all occupations, with about 10,600 openings a year.

| Measure | Value | Source |
| --- | --- | --- |
| BLS relative AI exposure | Moderate | BLS Employment Projections, AI exposure categories |
| NueCareer AI-resilience score | 60/100 | NueCareer analysis of O\*NET 31.0 Database |
| Projected employment change | +3.3% | BLS EP 2025–2035 |
| Openings a year | 10,600 | BLS EP 2025–2035 |
| Median annual wage | $106,040 | BLS OEWS May 2025 |

## Exposure categories

| BLS category | Occupations |
| --- | --- |
| Low | 203 |
| Moderate (this job) | 194 |
| High | 190 |
| Very high | 199 |

Exposure means AI could be or has been used to assist with or complete some of the work. BLS says it does not imply job loss, productivity gains, automation probability or wage effects. Method: https://www.bls.gov/emp/publications/ai-exposure-categories.htm

## What holds up

- Assisting and caring for others: 4.2/5 (O\*NET work activity importance)
- Face-to-face discussions: 5.0/5 (O\*NET work context)
- Performing for or working directly with the public: 4.3/5 (O\*NET work activity importance)
- Resolving conflicts and negotiating with others: 4.1/5 (O\*NET work activity importance)

## What AI reaches first

- Documenting/recording information: 4.5/5 (O\*NET work activity importance)
- Processing information: 4.0/5 (O\*NET work activity importance)
- Performing administrative activities: 4.1/5 (O\*NET work activity importance)
- Getting information: 4.7/5 (O\*NET work activity importance)

## O\*NET tasks

- Explain police operations to subordinates to assist them in performing their job duties.
- Inform personnel of changes in regulations and policies, implications of new or amended laws, and new techniques of police work.
- Prepare work schedules and assign duties to subordinates.
- Maintain logs, prepare reports, and direct the preparation, handling, and maintenance of departmental records.
- Inspect facilities, supplies, vehicles, and equipment to ensure conformance to standards.
- Train staff in proper police work procedures.

## Related careers less exposed to AI than first-line supervisors of police and detectives

- [First-Line Supervisor of Firefighting and Prevention Workers](https://nuecareer.com/careers/first-line-supervisor-of-firefighting-and-prevention-workers): BLS exposure Low, median $93,530

## FAQ

**Will AI replace first-line supervisors of police and detectives?**

Unlikely. BLS rates the work's exposure to AI as moderate, below the middle of the pack, and still projects employment to grow. BLS defines exposure as AI being able to assist with or complete some of the work, and says it does not imply job loss, productivity gains or wage effects. BLS projects employment to change by +3.3% over 2025–2035, against 3.5% for all occupations, with about 10,600 openings a year.

**How exposed are first-line supervisors of police and detectives to AI?**

BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. First-Line Supervisors of Police and Detectives are in the moderate category, alongside 193 other occupations. The categories combine five public measures of where AI could be or already is used, and they compare occupations with each other rather than giving an absolute risk.

**What parts of a first-line supervisor of police and detectives's job can AI do?**

In O\*NET's description of the work, the parts that overlap most with what AI handles well are documenting/recording information, processing information and performing administrative activities. The parts that hold up best are assisting and caring for others, face-to-face discussions and performing for or working directly with the public. These come from O\*NET ratings of how important each activity is to the job, read through NueCareer's AI-resilience method.

**Is being a first-line supervisor of police and detectives a safe career from AI?**

On NueCareer's AI-resilience score, built from O\*NET work activities, first-line supervisors of police and detectives score 60 out of 100, higher than 85% of the occupations we score. The job pays a median of $106,040 a year (BLS OEWS, May 2025). No job is fully safe from technological change, but the federal exposure category and the projected openings are the two numbers worth weighing.

**What careers similar to first-line supervisors of police and detectives are less exposed to AI?**

First-Line Supervisor of Firefighting and Prevention Workers (low exposure, $93,530 median). Each is in a lower BLS exposure category than first-line supervisors of police and detectives, and most are listed by O\*NET as related to the work.

Full profile: https://nuecareer.com/careers/first-line-supervisor-of-police-and-detectives.

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This bank includes information from the O\*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O\*NET® is a trademark of USDOL/ETA. NueCareer has transformed the data by joining it to BLS wage and projection data and deriving facet, personality-fit and AI-resilience scores. BLS and BEA data are public domain (17 U.S.C. §105).

O\*NET content is used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). How these figures are sourced and derived: https://nuecareer.com/careers/methodology