SOC 17-2111

Fire-Prevention and Protection Engineers AI displacement risk

Suppression system design, hazard analysis, and safety-code evaluation are increasingly simulation-assisted. Accident investigation, expert testimony, and accountability for life-safety design keep protection engineers professionally anchored.

Exposure48

Share and intensity of work current AI systems can materially affect.

Automation24%

Likely potential for exposed tasks to move to software after workflow integration.

Risk bandLow

Fire modeling software accelerates analysis, but life-safety design must be defended before code officials and sometimes courts. The engineer's stamp on suppression and egress systems is a legal responsibility that does not automate.

Distribution

Where Fire-Prevention and Protection Engineers sits across 620 tracked roles

Fire-Prevention and Protection Engineers · 26050100

Displacement pressure 26 — higher than 37% 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 17-2111. The displayed task profile combines these official task statements with the current public score model.

Median wage context: $115,160 (May 2025, US national). The latest BLS row matched SOC 17-2111.

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-Prevention and Protection Engineers

SOC 17-2111 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 26/100 role score and are not an occupation forecast.

Modest change

+0.4% group wage

-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.

Economy-wide: +1.6% GDP and 3.9% unemployment.

Substantial change

-0.3% group wage

-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.

Economy-wide: +8.3% GDP and 4.6% unemployment.

Extreme change

-11.5% group wage

-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.

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-Prevention and Protection Engineers

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
SOC17-2111
  • Core task / ID 21860

    Investigate industrial accidents, injuries, or occupational diseases to determine causes and preventive measures.

  • Core task / ID 21861

    Conduct research to evaluate safety levels for products.

  • Core task / ID 21862

    Evaluate product designs for safety.

  • Core task / ID 21863

    Conduct or coordinate worker training in areas such as safety laws and regulations, hazardous condition monitoring, and use of safety equipment.

  • Core task / ID 21864

    Maintain and apply knowledge of current policies, regulations, and industrial processes.

  • Core task / ID 21865

    Recommend procedures for detection, prevention, and elimination of physical, chemical, or other product hazards.

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

analytical

Evaluate designs for safety

Exposure 44, automation 19%, augmentation 66%.

O*NET evidence: Evaluate product designs for safety. (ID 21862)

analytical

Investigate accidents and determine causes

Exposure 32, automation 12%, augmentation 58%.

O*NET evidence: Investigate industrial accidents, injuries, or occupational diseases to determine cause... (ID 21860)

physical

Inspect facilities for hazards and compliance

Exposure 30, automation 12%, augmentation 52%.

O*NET evidence: Inspect facilities, machinery, or safety equipment to identify and correct potential ha... (ID 21885)

language

Write and revise safety regulations and codes

Exposure 52, automation 25%, augmentation 68%.

O*NET evidence: Write and revise safety regulations and codes. (ID 21881)

TaskExposureAutomationAugmentation
Evaluate designs for safety4419%66%
Investigate accidents and determine causes3212%58%
Inspect facilities for hazards and compliance3012%52%
Write and revise safety regulations and codes5225%68%

Transition pathways

Adjacent moves that preserve existing skills

role redesign

Senior Fire Protection Engineer

Training horizon: 3-6 months. Skill overlap 78. Wage preservation signal 112.

  • Own complex building reviews
  • Lead performance-based design
  • Mentor junior engineers
Low
industry switch

Risk Engineering Consultant

Training horizon: 3-6 months. Skill overlap 64. Wage preservation signal 108.

  • Move to insurance risk consulting
  • Evaluate industrial fire risks
  • Write loss-prevention recommendations
Low

Comparison guides

Compare the next move before you commit

What the AI risk score means for Fire-Prevention and Protection Engineers

The displacement pressure score for Fire-Prevention and Protection Engineers is 26. 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 and revise safety regulations and codes carries 25% automation pressure, while Write and revise safety regulations and codes carries 68% 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: $115,160 (May 2025, US national). Employment context: Safety engineering role with code-driven demand. Typical education: Bachelor's degree common.

Wage vulnerability is 24, while transition feasibility is 68. 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
  • Simulation tools accelerate analysis
  • Life-safety accountability is durable

Upskilling priorities

Skills that make this role more resilient

The safest upskilling plan starts with skills already close to the work. For Fire-Prevention and Protection Engineers, 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.

Priority 1

Fire dynamics

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.

Priority 2

Code compliance

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.

Priority 3

Hazard analysis

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.

Priority 4

AI-assisted modeling

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.

  1. 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.
  2. By 60 days, complete one small project connected to Senior Fire Protection Engineer, such as own complex building reviews.
  3. By 90 days, compare internal openings and external postings for Senior Fire Protection Engineer or Risk Engineering Consultant and update your resume around measurable workflow outcomes.

FAQ

Questions about AI and Fire-Prevention and Protection Engineers

Will AI replace Fire-Prevention and Protection Engineers?

Suppression system design, hazard analysis, and safety-code evaluation are increasingly simulation-assisted. Accident investigation, expert testimony, and accountability for life-safety design keep protection engineers professionally anchored. 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-Prevention and Protection Engineers work are most exposed to AI?

Write and revise safety regulations and codes and Evaluate designs for safety show the strongest automation pressure in this model. Write and revise safety regulations and codes and Evaluate designs for safety are better treated as AI-augmented work.

What should Fire-Prevention and Protection Engineers learn next?

Start with Fire dynamics, Code compliance, Hazard analysis. The most practical adjacent paths in this model are Senior Fire Protection Engineer and Risk Engineering Consultant.

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