Share and intensity of work current AI systems can materially affect.
SOC 33-2011
Firefighters AI displacement risk
Firefighting is one of the least automatable jobs in the economy: physical rescue, fireground judgment, and emergency medical response happen in chaotic, dangerous environments. Drones, sensors, and AI dispatch add capability without replacing crews.
Likely potential for exposed tasks to move to software after workflow integration.
Technology changes detection and dispatch more than suppression. Staffing levels are driven by municipal budgets and call volumes, not by AI substitution.
Distribution
Where Firefighters sits across 620 tracked roles
Displacement pressure 8 — higher than 0% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-08. 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 33-2011. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $59,280 (May 2025, US national). The latest BLS row matched SOC 33-2011.
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 Firefighters
SOC 33-2011 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 8/100 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 Firefighters
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
SOC33-2011
- Core task / ID 22961
Rescue survivors from burning buildings, accident sites, and water hazards.
- Core task / ID 22987
Administer first aid and cardiopulmonary resuscitation to injured persons or provide emergency medical care such as basic or advanced life support.
- Core task / ID 22962
Dress with equipment such as fire-resistant clothing and breathing apparatus.
- Core task / ID 22964
Move toward the source of a fire, using knowledge of types of fires, construction design, building materials, and physical layout of properties.
- Core task / ID 22967
Drive and operate fire fighting vehicles and equipment.
- Core task / ID 22965
Respond to fire alarms and other calls for assistance, such as automobile and industrial accidents.
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
Suppress fires and perform rescues
Exposure 6, automation 1%, augmentation 12%.
O*NET evidence: Extinguish flames and embers to suppress fires, using shovels or engine- or hand-driven... (ID 22986)
Provide emergency medical care
Exposure 12, automation 3%, augmentation 22%.
O*NET evidence: Administer first aid and cardiopulmonary resuscitation to injured persons or provide em... (ID 22987)
Inspect buildings for fire hazards
Exposure 34, automation 12%, augmentation 46%.
O*NET evidence: Inspect buildings for fire hazards and compliance with fire prevention ordinances, test... (ID 22984)
Write incident reports
Exposure 56, automation 28%, augmentation 60%.
O*NET evidence: Prepare written reports that detail specifics of fire incidents. (ID 22977)
TaskExposureAutomationAugmentation
Suppress fires and perform rescues61%12%
Provide emergency medical care123%22%
Inspect buildings for fire hazards3412%46%
Write incident reports5628%60%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
LowFire Inspector
Training horizon: 6-12 months. Skill overlap 66. Wage preservation signal 114.
- Study fire codes deeply
- Earn inspector certification
- Document investigation methods
adjacent role
LowEmergency Management Coordinator
Training horizon: 6-12 months. Skill overlap 56. Wage preservation signal 118.
- Build emergency response plans
- Run preparedness drills
- Coordinate agency communications
Comparison guides
Compare the next move before you commit
6-12 months
Firefighters to Fire Inspector
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Firefighters into Fire Inspector.
6-12 months
Firefighters to Emergency Management Coordinator
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Firefighters into Emergency Management Coordinator.
What the AI risk score means for Firefighters
The displacement pressure score for Firefighters is 8. 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. Write incident reports carries 28% automation pressure, while Write incident reports carries 60% 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: $59,280 (May 2025, US national). Employment context: Emergency response role with stable public demand. Typical education: High school diploma plus academy training; EMT certification common.
Wage vulnerability is 32, while transition feasibility is 62. 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.
- Very low displacement pressure
- Physical emergency work is irreplaceable
- Drones and sensors augment crews
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Firefighters, 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.
Fireground judgment
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.
Emergency medicine
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.
Physical fitness
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 operation
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 Fire Inspector, such as study fire codes deeply.
- By 90 days, compare internal openings and external postings for Fire Inspector or Emergency Management Coordinator and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Firefighters
Will AI replace Firefighters?
Firefighting is one of the least automatable jobs in the economy: physical rescue, fireground judgment, and emergency medical response happen in chaotic, dangerous environments. Drones, sensors, and AI dispatch add capability without replacing crews. 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 Firefighters work are most exposed to AI?
Write incident reports and Inspect buildings for fire hazards show the strongest automation pressure in this model. Write incident reports and Inspect buildings for fire hazards are better treated as AI-augmented work.
What should Firefighters learn next?
Start with Fireground judgment, Emergency medicine, Physical fitness. The most practical adjacent paths in this model are Fire Inspector and Emergency Management Coordinator.
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