Resilient

Last Update: 6/19/2026

AI Resilience Score for Firefighting Supervisors:

71.9%

Median Score

Meaningful human contribution

High

Long-term employer demand

Med

Sustained economic opportunity

High

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient firefighting supervision is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For firefighting supervisors, five of seven sources had data, with Anthropic and Adaptive Capacity missing. The sources that did weigh in largely agreed: Microsoft and Will Robots Take My Job both rated AI exposure as low, and strong pay signals from Wage Bill reinforced high economic opportunity. That general agreement keeps confidence at medium, and the hands-on, high-stakes nature of leading crews in emergencies pushes the score to "Resilient."

AI Resilience Report forFirst-Line Supervisors of Firefighting and Prevention Workers

$92,430 median salary6,500 annual openingsSOC Code: 33-1021.00

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 "Resilient" because the most critical parts of the job, like making life-or-death decisions on a fireground, leading a crew through chaos, and earning the trust of a community, are deeply human skills that AI simply cannot replicate. While AI is taking over some of the paperwork-heavy tasks (things like meeting notes, grant writing, and records-keeping score as high as 65 to 72 percent automatable), those tasks are a smaller piece of what supervisors actually do.

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This role is resilient

This career is labeled "Resilient" because the most critical parts of the job, like making life-or-death decisions on a fireground, leading a crew through chaos, and earning the trust of a community, are deeply human skills that AI simply cannot replicate. While AI is taking over some of the paperwork-heavy tasks (things like meeting notes, grant writing, and records-keeping score as high as 65 to 72 percent automatable), those tasks are a smaller piece of what supervisors actually do.

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Analysis of Current AI Resilience

Firefighting Supervisors

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Firefighting Supervisors jobs?

Right now, AI in firefighting is mostly augmenting fire-service supervisors rather than replacing them — which makes sense when you look at the tasks. Hands-on jobs like driving engines, running hoselays, or doing rescue work score very low for automation (3–4%), while paperwork and planning tasks score much higher (65–72%). That lines up with what's actually happening in the field.

Fire Engineering reports that AI tools are now "simple enough for any fire chief, fire officer," and supervisors are using them for predictive resource allocation, risk mapping, grant writing, and drafting policies aligned with NFPA standards [1]. FireRescue1 notes that AI notetakers now record, transcribe, and summarize firehouse meetings into action items [2], directly chipping away at the records-keeping task. On the fireground, USC Viterbi researchers have built an AI model that combines satellite data and simulations to forecast a wildfire's path, intensity, and growth rate in real time [3], and NFPA Journal describes researchers using AI to identify effective structure protection in the wildland/urban interface [4] — both help supervisors make better calls, not replace their judgment.

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AI Adoption

How fast is AI adoption growing for Firefighting Supervisors?

Adoption is moving faster than many expect. Firehouse Magazine says AI remains the #1 technology trend for 2026 because nearly every software vendor serving first responders is now leveraging it [5], and utility-driven tools like 360-degree AI smoke detectors and vegetation scans are already deployed against wildfires [6]. Speed-boosters: chronic staffing shortages, rising wildfire risk, and cheap generative AI.

Speed-bumps: legal and ethical concerns — FireRescue1 warns AI notetakers can create a discoverable "shadow record" outside formal records systems, raising public-records and consent issues [2]. The good news for you: leadership, calm decisions under pressure, rescuing people, and earning a community's trust are still deeply human skills — AI is becoming the supervisor's assistant, not their replacement.

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Will AI replace Firefighting Supervisors?

Will AI replace Firefighting Supervisors?

No. We don't think AI will replace First-Line Supervisors of Firefighting and Prevention Workers, but the job is already changing in real ways.

Our scorecard gives this role a 71.9% AI Resilience Score, and the reasoning is pretty clear once you look at what the job actually demands. AI is stepping in as an assistant, not a replacement. Supervisors are already using AI tools for predictive resource allocation, risk mapping, and grant writing [1], and AI notetakers are handling meeting transcription and action items [2]. Real-time wildfire forecasting models are helping supervisors make faster, better-informed calls on the fireground [3]. Nearly every software vendor serving first responders is now building AI into their products [5]. That is real change, and it is happening fast.

What stays human is the heart of the role: leading a crew through a life-or-death situation, earning a community's trust, making judgment calls when the stakes are highest, and keeping people calm under pressure. Those things cannot be automated. The economic picture supports this too, with strong future earning potential for people in the role. If you are heading into fire service leadership, learning to work alongside AI tools will make you more effective, not obsolete.

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Latest AI news for Firefighting Supervisors

These articles highlight the transformative potential of AI in the firefighting field, particularly for First-Line Supervisors. For instance, advanced AI tools like improved thermal imaging can enhance decision-making during emergencies, enabling quicker response times. While concerns about automation exist, the AI automation risk score of 31/100 suggests that these supervisors will still play a crucial role, focusing on leadership and human judgment. Embracing AI-driven innovations can lead to more effective firefighting strategies and ensure that professionals remain vital in safeguarding communities.

More Career Info

Career: 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.

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

97% ResilienceCore Task

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

2

96% ResilienceCore Task

Operate wildland fire engines or hoselays.

3

96% ResilienceCore Task

Drive crew carriers to transport firefighters to fire sites.

4

95% ResilienceCore Task

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

5

95% ResilienceCore Task

Educate the public about forest fire prevention by participating in activities such as exhibits or presentations or by distributing promotional materials.

6

94% ResilienceCore Task

Monitor prescribed burns to ensure that they are conducted safely and effectively.

7

92% 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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