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First-Line Supervisors of Firefighting and Prevention Workers

Occupation · SOC 33-1021.00

Directly supervise and coordinate activities of workers engaged in firefighting and fire prevention and control.

Also called: Engine Boss · Fire Battalion Chief · Fire Captain · Fire Chief · Fire Lieutenant · Fire Marshal · Fire Prevention Chief · Fire Suppression Captain · Forest Fire Specialist Supervisor · Section Forest Fire Warden · Battalion Chief · Captain

Job family: Protective Service Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-33-1021-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

26th-percentile task overlap — yet about 6,500 openings a year (+3.4% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) Low 32nd -0.6
LLM task exposure, γ (OpenAI / Eloundou) Moderate 50th 0.6
AI assistant applicability (Microsoft) Low 2nd 0.0

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.4), and including AI-powered software (γ 0.6). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.0 · 1st percentile among occupations · Low

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Perform administrative duties, such as compiling and maintaining records, completing forms, preparing reports, or composing correspondence. 0.2%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook About average · +3.4% by 2034
Projected annual openings 6,500
Employment 2024 → 2034 97,200 → 100,500

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international 3 occupations below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

24% mean task exposure (2025)
44th percentile of 427 placed occupations
−6 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Civil Engineering Technicians · 3112 28% Not exposed
Physical and Engineering Science Technicians Not Elsewhere Classified · 3119 26% Not exposed
Fire Fighters · 5411 18% Not exposed

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 30 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Emerging tasks

Newer responsibilities O*NET has flagged as growing for this occupation.

  • Deploy and monitor drones for aerial surveillance and assessment of fire situations.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Public Safety and Security 4.7
Customer and Personal Service 4.4
Education and Training 4.1
Building and Construction 4.0
Administration and Management 4.0
English Language 4.0
Mechanical 3.7
Law and Government 3.6
Personnel and Human Resources 3.5
Administrative 3.4
Medicine and Dentistry 3.4
Psychology 3.3

Abilities

Oral Expression 4.3
Oral Comprehension 4.1
Problem Sensitivity 4.1
Near Vision 4.0
Deductive Reasoning 3.8
Inductive Reasoning 3.8
Written Comprehension 3.6
Written Expression 3.6
Information Ordering 3.6
Speech Recognition 3.6
Speech Clarity 3.6
Fluency of Ideas 3.5
Category Flexibility 3.4

Essential skills

Active Listening 4.0
Critical Thinking 3.9
Reading Comprehension 3.6
Speaking 3.6
Monitoring 3.6
Writing 3.3
Active Learning 3.3

Transferable skills

Social Perceptiveness 3.8
Coordination 3.6
Service Orientation 3.6
Judgment and Decision Making 3.6
Management of Personnel Resources 3.6
Instructing 3.5
Complex Problem Solving 3.5
Time Management 3.5

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Microsoft PowerPoint Presentation software Hot technology In demand
Microsoft Access Data base user interface and query software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft Word Word processing software Hot technology
Affiliated Computer Services ACS FIREHOUSE Data base user interface and query software
BehavePlus Analytical or scientific software
BIO-key FireRMS Data base user interface and query software
Computer aided dispatch software Helpdesk or call center software
Corel WordPerfect Office Suite Office suite software
Email software Electronic mail software
ESRI ArcView Geographic information system
FARSITE Analytical or scientific software
Fire incident reporting systems Data base user interface and query software
FlamMap Analytical or scientific software
Geographic information system GIS software Geographic information system
Geographic information system GIS systems Geographic information system
IBM Lotus 1-2-3 Spreadsheet software
Incident command system ICS software Project management software
Mapping software Map creation software
Plume modeling software Analytical or scientific software
Resource Ordering and Statusing System ROSS Project management software
Web browser software Internet browser software
Wildland Fire Assessment System WFAS Data base user interface and query software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Health and Safety of Other Workers 4.8
Contact With Others 4.7
Work With or Contribute to a Work Group or Team 4.7
Face-to-Face Discussions with Individuals and Within Teams 4.7
Impact of Decisions on Co-workers or Company Results 4.6
Telephone Conversations 4.6
Work Outcomes and Results of Other Workers 4.6
Deal With External Customers or the Public in General 4.6
E-Mail 4.5
Outdoors, Exposed to All Weather Conditions 4.5
In an Enclosed Vehicle or Operate Enclosed Equipment 4.5
Coordinate or Lead Others in Accomplishing Work Activities 4.5
Freedom to Make Decisions 4.5
Consequence of Error 4.4
Determine Tasks, Priorities and Goals 4.3
Importance of Being Exact or Accurate 4.3
Frequency of Decision Making 4.3
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.3
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.3
Physical Proximity 4.2
Exposed to Very Hot or Cold Temperatures 4.0
Indoors, Not Environmentally Controlled 4.0
Exposed to Contaminants 4.0
Exposed to Hazardous Equipment 3.9
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 3.9
Indoors, Environmentally Controlled 3.8
Exposed to Hazardous Conditions 3.8
Exposed to Disease or Infections 3.7
Exposed to Extremely Bright or Inadequate Lighting Conditions 3.7
Written Letters and Memos 3.7
Time Pressure 3.5
Level of Competition 3.5
Exposed to Minor Burns, Cuts, Bites, or Stings 3.4
Exposed to Cramped Work Space, Awkward Positions 3.4
Conflict Situations 3.3
Dealing With Unpleasant, Angry, or Discourteous People 3.3
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.2
Exposed to High Places 3.2
Spend Time Standing 3.2
Public Speaking 3.1

How to get in

Job zone
Zone 3 — Job Zone Three: Medium Preparation Needed
Education
Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
Typical entry-level education
Postsecondary nondegree award · BLS, the typical path — not a requirement
Related experience
Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
Preparation level
SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.

What to study: Homeland Security, Law Enforcement, Firefighting and Related Protective Services , Natural Resources and Conservation . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

High School Diploma 29.3%
Associate's Degree (or other 2-year degree) 23.8%
Post-Secondary Certificate 18.7%
Some College Courses 11.8%
Bachelor's Degree 9.6%
Post-Baccalaureate Certificate 3.7%
Less than a High School Diploma 3.0%
Post-Doctoral Training 0.1%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Work styles

Integrity 10.0
Cooperation 9.0
Achievement Orientation 8.0
Self-Control 7.0
Stress Tolerance 6.0
Perseverance 5.0
Adaptability 4.0

Career interests (Holland / RIASEC)

Enterprising 6.2
Realistic 5.1
Conventional 4.7
Social 3.7

Interest areas

Protective Service 6.0
Management/Administration 5.8
Physical/Manual Labor 4.6
Human Resources 3.3
Public Speaking 3.3

Wages & employment

U.S. · annual wages (BLS OEWS)

$54k10th$72k25th$92kMedian$116k75th$142k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
97k2024101k2034 (proj.)+3.4% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $53,970
25th percentile $72,240
Median (50th) $92,430
75th percentile $115,990
90th percentile $142,300
People employed 93,680

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Administrative and Support and Waste Management and Remediation Services · Sector 3,010 $61,400
Manufacturing · Sector 110 $98,070
Educational Services · Sector 100 $103,910
Utilities · Sector 40 $134,080
Transportation and Warehousing · Sector $99,670
Health Care and Social Assistance · Sector $51,690
Ambulance Services · National industry $74,330
Other Services (except Public Administration) · Sector $66,920

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Administrative and Support and Waste Management and Remediation Services · Sector 0.55× 3,010
Manufacturing · Sector 0.01× 110
Educational Services · Sector 0.01× 100

Part of the Public Service & Safety career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay First-Line Supervisors of Firefighting and Prevention Workers sits at the 26th percentile of AI task-overlap and the 77th percentile of median pay, placed here against 11 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay First-Line Supervisors of Firefighting and Prevention Workers Firefighters Forest Fire Inspectors and Prevention Specialists First-Line Supervisors of Farming, Fishing, and Forestry Workers First-Line Supervisors of Police and Detectives Fire Inspectors and Investigators Airfield Operations Specialists Emergency Management Directors AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for First-Line Supervisors of Firefighting and Prevention Workers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Write a report on thisheadline · factoids · citation

First-Line Supervisors of Firefighting and Prevention Workers show 26th-percentile AI task overlap — and about 6,500 annual U.S. openings

  • First-Line Supervisors of Firefighting and Prevention Workers rank in the 26th percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 6,500 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be about average (+3.4%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $92,430, across about 93,680 U.S. workers.BLS OEWS (May 2024)
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First-Line Supervisors of Firefighting and Prevention Workers show 26th-percentile AI task overlap — and about 6,500 annual U.S. openings

• First-Line Supervisors of Firefighting and Prevention Workers rank in the 26th percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 6,500 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be about average (+3.4%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $92,430, across about 93,680 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "First-Line Supervisors of Firefighting and Prevention Workers". https://singulariki.com/roles/role-33-1021-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "First-Line Supervisors of Firefighting and Prevention Workers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-33-1021-00

APA

Singulariki. (2026). First-Line Supervisors of Firefighting and Prevention Workers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-33-1021-00

BibTeX
@misc{singulariki-role-33-1021-00,
  title  = {First-Line Supervisors of Firefighting and Prevention Workers},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-33-1021-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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