NueCareer

AI and jobs

Will AI Replace Police Officers? (2026)

The Bureau of Labor Statistics places police officers in its high AI exposure category, above the middle of the pack: a substantial share of the work overlaps with what AI can do. BLS projects employment to change by +3.5% over 2025–2035, against 3.5% for all occupations, with about 51,500 openings a year.

Short answer

Not replaced, but changed. BLS rates the exposure as high, so AI can help with a real share of the work, yet it still projects employment to grow faster than average.

BLS AI exposure
HighBLS EP supplemental table
AI-resilience score
60/100Higher than 85% of jobs · NueCareer
Projected change
+3.5%BLS EP 2025–2035; all jobs 3.5%
Openings a year
51,500BLS EP 2025–2035

The federal measure

How exposed police officers are to AI

The Bureau of Labor Statistics publishes a relative AI exposure category for each occupation it projects, built from five public measures of where AI could be, or already is, used to assist with or complete the work. Police Officers land in the high category: above the middle of the pack: a substantial share of the work overlaps with what AI can do.

Where this job sits on the BLS scale

786 occupations in the NueCareer bank, in BLS's four relative categories; width shows how many fall in each

  1. Low203 occupations · 26%
  2. Moderate194 occupations · 25%
  3. High · this job190 occupations · 24%
  4. Very high199 occupations · 25%

Source: BLS Employment Projections, AI exposure categories supplemental table.

  1. Exposure is relative. The categories rank occupations against each other; they are not a probability that a job is automated.
  2. BLS says exposure does not imply job loss, productivity gains, automation probability or wage effects. A highly exposed job can still grow if AI makes the people in it more productive.
  3. The classification reflects AI capabilities as the underlying studies measured them. Read the BLS method and limitations.

Inside the work

What AI can and cannot do in this job

O*NET rates how important each work activity is to an occupation and how often each working condition comes up. The ratings below are the ones that move the job's NueCareer AI-resilience score the most: the ones that pull it up, and the ones that pull it down. Only ratings clearly above the midpoint count.

What holds up

Physical, hands-on and person-to-person work

  • Performing for or working directly with the public4.9/5
    O*NET work activity, importance
  • Assisting and caring for others4.4/5
    O*NET work activity, importance
  • Resolving conflicts and negotiating with others4.5/5
    O*NET work activity, importance
  • Performing general physical activities4.3/5
    O*NET work activity, importance

What AI reaches first

Routine, repeatable and screen-based work

  • Documenting/recording information4.9/5
    O*NET work activity, importance
  • Processing information4.3/5
    O*NET work activity, importance
  • Working with computers4.4/5
    O*NET work activity, importance
  • Getting information4.6/5
    O*NET work activity, importance

The tasks O*NET lists for police officers

  • Identify, pursue, and arrest suspects and perpetrators of criminal acts.
  • Investigate illegal or suspicious activities.
  • Record facts to prepare reports that document incidents and activities.
  • Monitor, note, report, and investigate suspicious persons and situations, safety hazards, and unusual or illegal activity in patrol area.
  • Review facts of incidents to determine if criminal act or statute violations were involved.
  • 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.

O*NET 31.0 Database task statements, most important first.

The jobs

Will there still be jobs?

Exposure says where AI meets the work. The BLS projection says what the labor market is expected to do over 2025–2035. BLS projects +3.5% change in employment over the decade, against 3.5% across all occupations, and about 51,500 openings a year once retirements and career changes are counted. About 670,520 people work in the job today, at a median of $76,210 a year (BLS OEWS, May 2025).

Full police officer profile: pay by state, entry route and skills

Options

Related careers less exposed to AI than police officers

Careers O*NET lists as related to the work, or in the same field at similar pay, that BLS places in a lower exposure category.

  1. Median pay
    $93,530median a year
    Growth
    +3.7%
    Openings / yr
    6,600
    Education
    Certificate
    Low
    BLS AI exposure
    64/100
    resilience

    Directly supervise and coordinate activities of workers engaged in firefighting and fire prevention and control.

Questions

Will AI Replace Police Officers? FAQ

Will AI replace police officers?

Not replaced, but changed. BLS rates the exposure as high, so AI can help with a real share of the work, yet it still projects employment to grow faster than average. 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 +3.5% over 2025–2035, against 3.5% for all occupations, with about 51,500 openings a year.

How exposed are police officers to AI?

BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. Police Officers are in the high category, alongside 189 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 police officer'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 working with computers. The parts that hold up best are performing for or working directly with the public, assisting and caring for others and resolving conflicts and negotiating with others. 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 police officer a safe career from AI?

On NueCareer's AI-resilience score, built from O*NET work activities, police officers score 60 out of 100, higher than 85% of the occupations we score. The job pays a median of $76,210 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 police officers 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 police officers, and most are listed by O*NET as related to the work.

The AI exposure category is the Bureau of Labor Statistics'. The AI-resilience score and the activity breakdown are NueCareer's analysis of O*NET 31.0 Database data (method), not a federal figure. More: jobs most exposed to AI, jobs least exposed to AI, or check any job.