Will AI replace Fire-Prevention and Protection Engineers?
AI reaches most of this job’s work.
65/100
Very high exposure
More exposed to AI than 95% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 72% of the work
What the job involves
Research causes of fires, determine fire protection methods, and design or recommend materials or equipment such as structural components or fire-detection equipment to assist organizations in safeguarding life and property against fire, explosion, and related hazards.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(9)
- Advise architects, builders, and other construction personnel on fire prevention equipment and techniques and on fire code and standard interpretation and compliance.
- Inspect buildings or building designs to determine fire protection system requirements and potential problems in areas such as water supplies, exit locations, and construction materials.
- Prepare and write reports detailing specific fire prevention and protection issues, such as work performed, revised codes or standards, and proposed review schedules.
- Design fire detection equipment, alarm systems, and fire extinguishing devices and systems.
- Attend workshops, seminars, or conferences to present or obtain information regarding fire prevention and protection.
and 4 more
Out of reach(4)
- Direct the purchase, modification, installation, testing, maintenance, and operation of fire prevention and protection systems.
- Study the relationships between ignition sources and materials to determine how fires start.
- Evaluate fire department performance and the laws and regulations affecting fire prevention or fire safety.
- Conduct research on fire retardants and the fire safety of materials and devices.
Also called
Fire Protection Engineer (FPE) · FPE · Consulting Engineer · Engineer · Fire Protection Consultant · Forensic Fire Protection Engineer · Licensed Fire Protection Engineer · Professional Fire Protection Engineer
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