Stable

Last Update: 3/13/2026

Your role’s AI Resilience Score is

90.8%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
High

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

First-Line Supervisors of Firefighting and Prevention Workers

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.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

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 analysis

Contributing 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

Learn about this score
Stable iconStable

84.4%

84.4%

Microsoft's Working with AI

AI Applicability

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Stable iconStable

97.8%

97.8%

Will Robots Take My Job

Automation Resilience

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Stable iconStable

94.0%

94.0%

Althoff & Reichardt

Economic Growth

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Stable iconStable

87.6%

87.6%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

3.4%

Growth Percentile:

55.7%

Annual Openings:

6,500

Annual Openings Pct:

45.0%

Analysis of Current AI Resilience

Firefighting Supervisors

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

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].

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AI Adoption

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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More Career Info

Career: First-Line Supervisors of Firefighting and Prevention Workers

Employment & Wage Data

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

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

90% ResilienceCore Task

Provide emergency medical services as required, and perform light to heavy rescue functions at emergencies.

2

90% ResilienceCore Task

Serve as a working leader of an engine, hand, helicopter, or prescribed fire crew of three or more firefighters.

3

85% ResilienceCore Task

Assess nature and extent of fire, condition of building, danger to adjacent buildings, and water supply status to determine crew or company requirements.

4

85% ResilienceCore Task

Maintain fire suppression equipment in good condition, checking equipment periodically to ensure that it is ready for use.

5

85% ResilienceCore Task

Perform maintenance and minor repairs on firefighting equipment, including vehicles, and write and submit proposals to modify, replace, and repair equipment.

6

85% ResilienceSupplemental

Appraise damage caused by fires and prepare damage reports.

7

80% ResilienceCore Task

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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