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Comparison · dataset August 2026

Firefighter vs Police Officer: which is more exposed to AI?

Police Officer carries 9 points more AI exposure than Firefighter.

Police Officer sits at 25% time-weighted AI exposure against 16% for Firefighter, a 9-point gap driven by the 0% of police officer work time that current models can already substitute outright. Firefighter holds a larger human-critical core — 86% of the role's time sits in work like "suppress fires and perform rescue" that models score poorly on. Both roles sit inside Protective Services, so the exposure difference reflects task design rather than a change of field.

9PP GAP

Seven dimensions, side by side.

METRICFIREFIGHTERPOLICE OFFICERDELTA
AI exposure16%25%9pp gap
Resilience score94/10088/1006pt gap
Substitutable work time0%0%Fully automatable today
Human-critical work time86%70%Models score poorly here
Median salary$58k$74k$16k apart
10-year growth4%3%Firefighter
US workforce334k808kBLS OEWS
Task level

What actually creates the gap.

Both roles hand a similar slice of the week to substitutable work — 0% for Firefighters, 0% for Police Officers — but it is different work. Firefighter exposure concentrates in "review incident maps and building data"; Police Officer exposure concentrates in "write incident reports and narratives". Two roles can share a score and face completely different disruption timelines.

Firefighter
MOST EXPOSED TASKS
    HUMAN-CRITICAL CORE
    • Suppress fires and perform rescue4% · 30% time
    • Operate equipment in hazardous scenes6% · 18% time
    • Provide emergency medical aid8% · 14% time
    Police Officer
    MOST EXPOSED TASKS
      HUMAN-CRITICAL CORE
      • Make lawful arrest and force decisions4% · 12% time
      • De-escalate volatile situations6% · 16% time
      • Patrol and respond to calls10% · 26% time
      What transfers

      Both roles lean on judgement, manual, social — that is the part of your experience that travels intact. Beyond that, the two capability profiles are unusually close: no dimension separates them by more than 15 points, which is why the switch difficulty below reads the way it does.

      Switching between them
      LowDIFFICULTY

      Police Officer appears in our dataset as a mapped adjacent career for Firefighters: the move raises exposure by 9 points, landing at 25%. Switch difficulty reads low — capability profiles are 6 points apart on average and both sit in the same family.

      Score your own exposure in 8 questions →

      Common questions.

      Is Firefighter or Police Officer more at risk from AI?

      Police Officer. It scores 25% time-weighted AI exposure against 16% for Firefighter — a 9-point gap. 0% of police officer work time is already fully substitutable by current models, versus 0% for Firefighters.

      Which pays more, Firefighter or Police Officer?

      Police Officer, by roughly $16k at the median ($74k versus $58k). Note that the higher-paying role here is also the more AI-exposed one, which matters if you are weighing pay against durability.

      Can a firefighter switch to being a police officer?

      Police Officer appears in our dataset as a mapped adjacent career for Firefighters: the move raises exposure by 9 points, landing at 25%. Switch difficulty reads low — capability profiles are 6 points apart on average and both sit in the same family.

      Which role is growing faster, Firefighter or Police Officer?

      Firefighter, at 4% projected ten-year growth versus 3% — a 1-point difference. Growth and AI exposure are separate signals: a role can grow in headcount while the content of the work is substantially rewritten.

      Career families
      Protective Services
      Methodology
      Scores are time-weighted across each role's canonical O*NET tasks, graded against current frontier-model capability. How we score.