How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is moderately exposed to automation, and meaningful change looks likely over the next 5 to 10 years.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 0.0 to 20.8
Physical / roboticsrange 41.9 to 65.9
When the change is likely
Partial, 5 to 10 yearslocal demand stable
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Use your 5 to 10 year runway
Change here is gradual. Build resilient skills steadily and watch the signals rather than waiting for a shock.
2
Move up from the task to the system
Robotics targets the physical work. Shift toward supervising, maintaining, or programming the automation instead of competing with it.
3
Pivot toward Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers
It is skill-adjacent and less exposed (33.1 vs 54). A lateral move now beats a forced one later.
4
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
5
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
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Which of my tasks are exposed
Rescue survivors from burning buildings, accident sites, and water hazards.
53.9
Dress with equipment such as fire-resistant clothing and breathing apparatus.
53.9
Assess fires and situations and report conditions to superiors to receive instructions, using two-way radios.
100.0
Move toward the source of a fire, using knowledge of types of fires, construction design, building materials, and physical layout of properties.
53.9
Respond to fire alarms and other calls for assistance, such as automobile and industrial accidents.
53.9
Create openings in buildings for ventilation or entrance, using axes, chisels, crowbars, electric saws, or core cutters.
53.9
Drive and operate fire fighting vehicles and equipment.
100.0
Inspect fire sites after flames have been extinguished to ensure that there is no further danger.
100.0
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Assess fires and situations and report conditions to superiors to receive instructions, using two-way radios.
Task: Drive and operate fire fighting vehicles and equipment.
Lower-risk adjacent roles
Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers
33.1
Occupational Health and Safety Specialists
35.7
Fire Inspectors and Investigators
39.0
First-Line Supervisors of Firefighting and Prevention Workers
47.8
Forest Fire Inspectors and Prevention Specialists
52.3
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Firefighters to its standard O*NET task list (8 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 8.8, robotics 53.9.
The timeline comes from the higher axis (53.9), shifted for local demand (stable), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.