Will AI replace First-Line Supervisors of Firefighting and Prevention Workers?
AI reaches some of this job’s work, but most of it stays with people.
39/100
Moderate exposure
More exposed to AI than 63% of US workers.
- AI already used in
- 4% of the work
- As AI tools mature: up to
- 47% of the work
What the job involves
Directly supervise and coordinate activities of workers engaged in firefighting and fire prevention and control.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(1)
- Perform administrative duties, such as compiling and maintaining records, completing forms, preparing reports, or composing correspondence.
Within reach(14)
- Evaluate size, location, and condition of fires.
- Assess nature and extent of fire, condition of building, danger to adjacent buildings, and water supply status to determine crew or company requirements.
- Recommend personnel actions related to disciplinary procedures, performance, leaves of absence, and grievances.
- Evaluate fire station procedures to ensure efficiency and enforcement of departmental regulations.
- Maintain required maps and records.
and 9 more
Out of reach(15)
- Communicate fire details to superiors, subordinates, or interagency dispatch centers, using two-way radios.
- Provide emergency medical services as required, and perform light to heavy rescue functions at emergencies.
- Maintain fire suppression equipment in good condition, checking equipment periodically to ensure that it is ready for use.
- Assign firefighters to jobs at strategic locations to facilitate rescue of persons and maximize application of extinguishing agents.
- Instruct and drill fire department personnel in assigned duties, including firefighting, medical care, hazardous materials response, fire prevention, and related subjects.
and 10 more
Also called
Fire Lieutenant · Battalion Chief · Fire Captain · Fire Chief · Crew Boss · Division Chief · Fire Prevention Chief · Fire Supervisor
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics