Public & Community occupation
Will AI replace Firefighters?
See how this occupation’s day-to-day work compares with other jobs in exposure to AI and automation, why it received this result, and where human skills remain essential.
Firefighters
Higher AI & automation exposure than 34% of jobs we compare.
Exposure index: 34 / 100
This compares the type of work in this job with the work in hundreds of other jobs.
This is a comparison between jobs — not a 34% chance of job loss.
Why did this job get this result?
- Completing post-incident logs, reviewing pre-fire building plans, and logging equipment maintenance happen on computer terminals.
- Incident command structures, hose deployment sequences, and hazardous materials protocols follow rigorous emergency standards.
- The occupation is intensely physical and dangerous, entering burning structures, operating heavy hydraulic tools, and working at heights.
- Firefighters must evaluate structural collapse risks, search smoke-filled buildings, and adapt instantly to dynamic fire behavior.
- Rescuing trapped civilians, providing emergency medical care, and calming terrified accident victims require immense courage and compassion.
How technology may change this work
Technology and human strengths
What AI & automation may affect
- Thermal imaging cameras and digital atmospheric gas monitors provide critical data on hidden heat sources and toxic gas levels.
- Computer-aided dispatch systems and emergency vehicle tracking software optimize response routing and fire hydrant mapping.
Human strengths in this job
- Entering hazardous, zero-visibility burning structures physically to search for, locate, and carry trapped civilians to safety
- Making rapid life-or-death decisions when structural collapse, flashovers, or backdrafts threaten crew survival
- Delivering high-stress emergency medical interventions and CPR to critical trauma victims at accident scenes
- Comforting displaced families who have lost their homes and possessions with genuine human compassion
How this result breaks down
These are model components, not percentages of the job or of how necessary people are.
How much the job involves information, data, writing, analysis or other digital work that AI and software may help with.
How much of the work follows regular, predictable or repeated steps.
How much of the physical work may be suitable for machines or robotics.
How much the job depends on judgment, creativity, communication and adapting to real situations.
How is the index calculated?
The Exposure Index is a percentile comparing this job's digital, routine, and physical tasks against all 897 occupations in the Model 2.1 dataset. A score of 34 means higher modeled exposure than approximately 34% of comparable jobs.
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What people in this job commonly do
- Rescue survivors from burning buildings, accident sites, and water hazards.
- Administer first aid and cardiopulmonary resuscitation to injured persons or provide emergency medical care such as basic or advanced life support.
- Dress with equipment such as fire-resistant clothing and breathing apparatus.
- Move toward the source of a fire, using knowledge of types of fires, construction design, building materials, and physical layout of properties.
- Drive and operate fire fighting vehicles and equipment.
- Respond to fire alarms and other calls for assistance, such as automobile and industrial accidents.
How we compare jobs
We look at what people do in hundreds of occupations — including digital work, repeatable activities, physical automation and human skills — then compare the job with other occupations.
What this tool cannot predict
It cannot predict individual job loss, exact technology adoption timing or decisions by an individual employer.
Occupation and data details
O*NET-SOC: 33-2011.00
Career category: Public & Community
Typical education: High school diploma or equivalent
Data source: O*NET, U.S. Department of Labor.
This product includes information from the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. Toolsyte has modified and scored some information; USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.