Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.
AI Resilience Report for
They lead and manage firefighters during emergencies, ensuring safety and organizing efforts to put out fires and prevent them from happening.
This role is stable
This career is considered "Stable" because, while AI tools can help with certain tasks like predicting fire movements or sorting data, the most important parts of the job still require human skills. Making critical decisions during unpredictable fires, providing personal medical aid, and leading teams on the ground are things only experienced humans can do.
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 stable
This career is considered "Stable" because, while AI tools can help with certain tasks like predicting fire movements or sorting data, the most important parts of the job still require human skills. Making critical decisions during unpredictable fires, providing personal medical aid, and leading teams on the ground are things only experienced humans can do.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Firefighting Supervisors
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
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].

AI in the real world
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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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.
Serve as a working leader of an engine, hand, helicopter, or prescribed fire crew of three or more firefighters.
Assess nature and extent of fire, condition of building, danger to adjacent buildings, and water supply status to determine crew or company requirements.
Maintain fire suppression equipment in good condition, checking equipment periodically to ensure that it is ready for use.
Perform maintenance and minor repairs on firefighting equipment, including vehicles, and write and submit proposals to modify, replace, and repair equipment.
Appraise damage caused by fires and prepare damage reports.
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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