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.
U.S. Workers
23,220
Median Salary
$109,660
10-Year Growth
+4.4%
Annual Openings
1,500
Typical entry: Bachelor's degree
13 of 13 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Prepare and write reports detailing specific fire prevention and protection issues, such as work performed, revised codes or standards, and proposed review schedules.
AI: Fully automatable - AI can reliably prepare, structure, and write detailed fire prevention and protection reports from data, templates, and code references, making this task largely automatable.
Attend workshops, seminars, or conferences to present or obtain information regarding fire prevention and protection.
AI: Fully automatable - AI can prepare and present technical content and ingest, summarize, and analyze conference material remotely, effectively attending and obtaining information from workshops and seminars.
Advise architects, builders, and other construction personnel on fire prevention equipment and techniques and on fire code and standard interpretation and compliance.
AI: Partial - AI can interpret codes, provide compliance recommendations, and advise on fire prevention techniques, but it cannot substitute for licensed professional judgment or authoritative legal interpretation.
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.
AI: Partial - AI can evaluate building designs and models to identify fire protection requirements and potential problems, yet physical inspections and contextual, situational judgments still require human engineers.
Design fire detection equipment, alarm systems, and fire extinguishing devices and systems.
AI: Partial - AI can design system layouts, simulate detector and suppression performance, and produce specifications, but final engineering decisions, prototyping, installation, and certification need human oversight.
Determine causes of fires and ways in which they could have been prevented.
AI: Partial - AI can analyze incident data, imagery, and patterns to suggest probable causes and preventive measures, but definitive fire cause determination often requires physical evidence, lab tests, and legal expertise.
Direct the purchase, modification, installation, maintenance, and operation of fire protection systems.
AI: Partial - AI can optimize procurement, produce modification and maintenance plans, and recommend operational procedures, but authoritative direction, contract management, and hands-on oversight remain human responsibilities.
Develop plans for the prevention of destruction by fire, wind, and water.
AI: Partial - AI can develop detailed prevention and resilience plans for fire, wind, and water based on hazard data and standards, but tailoring to local conditions, stakeholder coordination, and implementation need human involvement.
Consult with authorities to discuss safety regulations and to recommend changes as necessary.
AI: Partial - AI can draft regulatory analyses, prepare recommended changes, and generate briefing materials, but direct consultation, negotiation, and official regulatory authority are not fully automatable.
Study the relationships between ignition sources and materials to determine how fires start.
AI: Partial - AI can analyze data and run simulations to map relationships between ignition sources and materials, but cannot perform the hands‑on experimental testing and novel materials characterization required to fully determine fire initiation alone.
Develop training materials and conduct training sessions on fire protection.
AI: Partial - AI can create comprehensive training materials and deliver virtual instruction, but cannot fully replace human-led, in-person practical drills and situational judgment during hands‑on training.
Conduct research on fire retardants and the fire safety of materials and devices.
AI: Partial - AI can drive literature review, in‑silico screening, and experimental design for fire retardants and safety testing, but cannot autonomously carry out lab synthesis and physical fire testing required for complete research.
Evaluate fire department performance and the laws and regulations affecting fire prevention or fire safety.
AI: Partial - AI can analyze performance metrics and regulatory texts to identify issues, but nuanced interpretation, stakeholder context, and enforcement judgment typically require human oversight.