First-Line Supervisors of Firefighting and Prevention Workers

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

• Maintain required maps and records.70
• Perform administrative duties, such as compiling and maintaining records, completing forms, preparing reports, or composing correspondence.68
• Communicate fire details to superiors, subordinates, or interagency dispatch centers, using two-way radios.63

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

• Drive crew carriers to transport firefighters to fire sites.58
• Evaluate the performance of assigned firefighting personnel.57
• Instruct and drill fire department personnel in assigned duties, including firefighting, medical care, hazardous materials response, fire prevention, and related subjects.55

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

The current data release does not distinguish durable tasks for this role.

Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 52 puts First-Line Supervisors of Firefighting and Prevention Workers in the third quartile of analyzed occupations. In practice, exposure this high is about the mix: 4 of 20 analyzed tasks lean automatable, 16 augmentable, and 0 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

One next move: audit how much of your week sits in the exposed tasks above — then shift time toward the durable set or investigate the adjacent roles below.

Lower-exposure adjacent roles

Shown only when the target is at least 10 points lower under the same score version and skill overlap is at least 50%. These are adjacent roles with lower task exposure — not guaranteed “safe careers”.

Labor-market context

• $93,530median wage
• 99,140employed
• 6,500annual openings
• +3.4%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Related roles

Adjacent by skills or family — no exposure claim implied.

• Forest Fire Inspectors and Prevention Specialists 52
• Fire Inspectors and Investigators 50
• First-Line Supervisors of Police and Detectives 53
• Occupational Health and Safety Specialists 44
• First-Line Supervisors of Construction Trades and Extraction Workers 43
• Emergency Management Directors 53

FAQ — First-Line Supervisors of Firefighting and Prevention Workers

What does a score of 52 mean for a First-Line Supervisors of Firefighting and Prevention Workers?

It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 52 on a 0–100 exposure scale — in the third quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which tasks in this role are most exposed to AI?

The highest-exposure tasks are: Maintain required maps and records; Perform administrative duties, such as compiling and maintaining records, completing forms, preparing reports, or composing correspondence; Communicate fire details to superiors, subordinates, or interagency dispatch centers, using two-way radios. Exposure is scored per task from structured data, not generated by a language model.

Which parts of this job are most durable?

The current data release does not distinguish durable tasks for this role.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.