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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
First-Line Supervisors of Firefighting and Prevention Workers are more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
This career is labeled as "Resilient" because it relies heavily on human judgment, leadership, and physical action to manage unpredictable and dangerous situations like fires. While AI can help with planning and data analysis, such as predicting fire spread or assisting in recruitment, it cannot replace the critical decision-making and hands-on tasks that fire supervisors perform.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is resilient
This career is labeled as "Resilient" because it relies heavily on human judgment, leadership, and physical action to manage unpredictable and dangerous situations like fires. While AI can help with planning and data analysis, such as predicting fire spread or assisting in recruitment, it cannot replace the critical decision-making and hands-on tasks that fire supervisors perform.
Read full analysisAnalysis of Current AI Resilience
Firefighting Supervisors
Updated Quarterly • Last Update: 2/17/2026

Today’s fire supervisors still mainly rely on people, but AI tools are beginning to help with data tasks. For example, researchers have built AI models that can predict how wildfires spread – one model claims it could prevent up to 76% of wildfires by warning crews in advance [1]. News reports even call AI “a new ally” for wildfire agencies [2].
In practice, this means drones and satellites gather fire maps and AI analyzes them so teams know where flames are moving. However, the critical decisions on how to fight fires – and taking action on the ground – still need human judgment.
Some office tasks are already digital. Supervisors use mapping and database software (GIS tools) to keep records [3]. A few departments even experiment with AI-powered hiring software to screen candidates [4].
But public education (giving talks or handing out flyers) and fixing engines remain hands-on jobs. Importantly, life-saving tasks like providing medical aid or rescuing people are done by humans. O*NET lists “providing personal medical attention” as a core activity [3], which AI cannot do.
In short, AI can assist with maps or sorting paperwork, but caring for people and leading crews in unpredictable fires still depends on human skills [3] [3].

Fire departments tend to adopt new tech cautiously. Budgets are tight, so expensive drones or AI systems must prove they save more money than hiring people. Fire chiefs and communities also value personal trust: O*NET notes that working directly with the public is an essential part of the job [3].
Families and residents usually feel safer knowing experienced people are in charge, not robots. On the other hand, the benefits can be real. If an AI tool can help prevent most wildfires [1], it would save lives and resources, which is very appealing.
For example, using AI to recruit or forecast fires could make crews stronger [4]. Overall, adoption will likely be gradual: AI tools may first assist with hiring or planning, while supervisors keep leading in person. In this way, new technology supports firefighters rather than replaces the human leadership that communities trust.

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They lead and manage firefighters during emergencies, ensuring safety and organizing efforts to put out fires and prevent them from happening.
Median Wage
$92,430
Jobs (2024)
97,200
Growth (2024-34)
+3.4%
Annual Openings
6,500
Education
Postsecondary nondegree award
Experience
Less than 5 years
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Provide emergency medical services as required, and perform light to heavy rescue functions at emergencies.
Operate wildland fire engines or hoselays.
Drive crew carriers to transport firefighters to fire sites.
Serve as a working leader of an engine, hand, helicopter, or prescribed fire crew of three or more firefighters.
Educate the public about forest fire prevention by participating in activities such as exhibits or presentations or by distributing promotional materials.
Monitor prescribed burns to ensure that they are conducted safely and effectively.
Instruct and drill fire department personnel in assigned duties, including firefighting, medical care, hazardous materials response, fire prevention, and related subjects.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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