Share and intensity of work current AI systems can materially affect.
SOC 33-1021
Fire Supervisors AI displacement risk
Fire supervisors lead engine and rescue crews, size up scenes, assign positions, and drill personnel. Dispatch analytics and pre-incident planning software improve information flow, but scene command under time pressure — reading a building, committing crews, calling a Mayday — is human judgment with lives attached.
Likely potential for exposed tasks to move to software after workflow integration.
Distinct from firefighters: supervisors absorb the administrative layer, where inspection-scheduling and reporting tools genuinely save hours. The command function itself resists automation because every incident is a novel physical situation.
Distribution
Where Fire Supervisors sits across 620 tracked roles
Displacement pressure 14 — higher than 8% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
30 O*NET task statements matched to SOC 33-1021. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $93,530 (May 2025, US national). The latest BLS row matched SOC 33-1021.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Fire Supervisors
SOC 33-1021 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 14/100 role score and are not an occupation forecast.
+1.1% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +1.6% GDP and 3.9% unemployment.
+5.9% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +8.3% GDP and 4.6% unemployment.
+33.6% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Fire Supervisors
The current evidence import matched 30 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks30
SOC33-1021
- Core task / ID 22911
Provide emergency medical services as required, and perform light to heavy rescue functions at emergencies.
- Core task / ID 22916
Maintain fire suppression equipment in good condition, checking equipment periodically to ensure that it is ready for use.
- Core task / ID 22910
Assign firefighters to jobs at strategic locations to facilitate rescue of persons and maximize application of extinguishing agents.
- Core task / ID 22913
Communicate fire details to superiors, subordinates, or interagency dispatch centers, using two-way radios.
- Core task / ID 22914
Serve as a working leader of an engine, hand, helicopter, or prescribed fire crew of three or more firefighters.
- Core task / ID 22936
Evaluate size, location, and condition of fires.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Assess fire conditions and determine crew requirements
Exposure 20, automation 7%, augmentation 44%.
O*NET evidence: Assess nature and extent of fire, condition of building, danger to adjacent buildings, ... (ID 22912)
Assign firefighters to strategic locations
Exposure 26, automation 10%, augmentation 46%.
O*NET evidence: Assign firefighters to jobs at strategic locations to facilitate rescue of persons and ... (ID 22910)
Instruct and drill department personnel
Exposure 22, automation 8%, augmentation 46%.
O*NET evidence: Instruct and drill fire department personnel in assigned duties, including firefighting... (ID 22915)
Communicate fire details to dispatch and superiors
Exposure 30, automation 12%, augmentation 48%.
O*NET evidence: Communicate fire details to superiors, subordinates, or interagency dispatch centers, u... (ID 22913)
TaskExposureAutomationAugmentation
Assess fire conditions and determine crew requirements207%44%
Assign firefighters to strategic locations2610%46%
Instruct and drill department personnel228%46%
Communicate fire details to dispatch and superiors3012%48%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
LowBattalion Chief
Training horizon: 12-24 months. Skill overlap 66. Wage preservation signal 118.
- Complete officer development
- Command multi-company incidents
- Own district operations
role redesign
LowFire Inspection Program Manager
Training horizon: 6-12 months. Skill overlap 62. Wage preservation signal 110.
- Modernize inspection scheduling
- Lead prevention programs
- Manage code compliance staff
Comparison guides
Compare the next move before you commit
12-24 months
Fire Supervisors to Battalion Chief
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Fire Supervisors into Battalion Chief.
6-12 months
Fire Supervisors to Fire Inspection Program Manager
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Fire Supervisors into Fire Inspection Program Manager.
What the AI risk score means for Fire Supervisors
The displacement pressure score for Fire Supervisors is 14. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Communicate fire details to dispatch and superiors carries 12% automation pressure, while Communicate fire details to dispatch and superiors carries 48% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $93,530 (May 2025, US national). Employment context: Working-leader scope above the firefighter role. Typical education: Promotion from firefighter ranks; officer training required.
Wage vulnerability is 20, while transition feasibility is 64. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low displacement pressure
- Pre-plan software improves information
- Scene command stays human
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Fire Supervisors, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Emergency response
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Crew supervision
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Equipment readiness
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Fire training instruction
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Battalion Chief, such as complete officer development.
- By 90 days, compare internal openings and external postings for Battalion Chief or Fire Inspection Program Manager and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Fire Supervisors
Will AI replace Fire Supervisors?
Fire supervisors lead engine and rescue crews, size up scenes, assign positions, and drill personnel. Dispatch analytics and pre-incident planning software improve information flow, but scene command under time pressure — reading a building, committing crews, calling a Mayday — is human judgment with lives attached. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Fire Supervisors work are most exposed to AI?
Communicate fire details to dispatch and superiors and Assign firefighters to strategic locations show the strongest automation pressure in this model. Communicate fire details to dispatch and superiors and Assign firefighters to strategic locations are better treated as AI-augmented work.
What should Fire Supervisors learn next?
Start with Emergency response, Crew supervision, Equipment readiness. The most practical adjacent paths in this model are Battalion Chief and Fire Inspection Program Manager.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
OECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics