Resilient

Last Update: 7/31/2026

AI Resilience Score for Firefighting Supervisors:

71.1%

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 five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. 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, six of eight sources had data, with Anthropic and Adaptive Capacity unavailable. The AI exposure sources largely agreed: Microsoft, Will Robots Take My Job, and OpenAI Signals all rated exposure low, with our own model at medium, pointing to work that stays deeply human. Strong pay signals and low automation risk pushed the score to "Resilient," though medium employer demand kept confidence at medium.

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

$93,530 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 6 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.

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 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.

Read full analysis

Learn more about how you can thrive in this position

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

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.

Reveal More
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.

Reveal More
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 will definitely change as these tools become standard in the firehouse.

Our scorecard gives this role a 71.1% AI Resilience Score, and we think that's earned. The tasks AI is best at, like writing reports, drafting policies, and scheduling resources, are real parts of the job, but they're not the heart of it. AI tools are already handling meeting transcriptions and summaries [2] and helping supervisors map wildfire risk in real time [3]. That frees up supervisors to focus on what actually matters: making fast calls under pressure, leading crews through dangerous and unpredictable situations, and earning the trust of both their team and the community.

Adoption is accelerating, too. Nearly every software vendor serving first responders is now building AI into their products [5], and AI smoke detectors and vegetation scanning tools are already deployed in the field [6]. But legal and ethical concerns around things like discoverable AI-generated records are slowing full integration. More importantly, no algorithm can replace the human judgment, calm, and accountability that a fire supervisor brings when lives are on the line. AI is becoming a powerful assistant here, not a successor.

Reveal More
Career Village Logo

Help us improve this report.

Tell us if this analysis feels accurate or we missed something.

Share your feedback

Your Career Starts Here

Navigate your career with COACH, your free AI Career Coach. Research-backed, designed with career experts.

Explore careers

Plan your next steps

Get resume help

Find jobs

Explore careers

Plan your next steps

Get resume help

Find jobs

Explore careers

Plan your next steps

Get resume help

Find jobs

Career Village Logo

Ask a pro on CareerVillage.org. Free career advice from more than 200,000 professionals.

Latest AI news for Firefighting Supervisors

These articles highlight the growing role of AI in firefighting, which can enhance the effectiveness of First-Line Supervisors. For instance, AI can improve dispatch prioritization and predictive risk analysis, allowing supervisors to make more informed decisions quickly. Additionally, AI-driven early detection systems can enhance response times, ultimately improving safety. Embracing these advancements fosters AI resilience, ensuring that supervisors remain essential in managing human elements alongside technological innovations in their field.

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

$93,530

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

Built with ❤️ by Sandbox Web

The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.