AI exposure by occupation, O*NET 33-2022.00
Will AI replace Forest Fire Inspectors and Prevention Specialists?
Forest Fire Inspectors and Prevention Specialists: AI can already handle 2 of 16 tasks; the work mostly needs a standard-tier model.
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Every task, scored
The 16 tasks O*NET 30.3 lists for Forest Fire Inspectors and Prevention Specialists, from most to least exposed. 2 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Compile and report meteorological data, such as temperature, relative humidity, wind direction and velocity, and types of cloud formations. | Estimated | Efficient | |
| Inspect forest tracts and logging areas for fire hazards such as accumulated wastes or mishandling of combustibles, and recommend appropriate fire prevention measures. | Estimated | Standard | |
| Relay messages about emergencies, accidents, locations of crew and personnel, and fire hazard conditions. | Estimated | Standard | |
| Estimate sizes and characteristics of fires, and report findings to base camps by radio or telephone. | Estimated | Standard | |
| Direct crews working on firelines during forest fires. | Estimated | Frontier | |
| Locate forest fires on area maps, using azimuth sighters and known landmarks. | Estimated | Standard | |
| Extinguish smaller fires with portable extinguishers, shovels, and axes. | Estimated | Efficient | |
| Patrol assigned areas, looking for forest fires, hazardous conditions, and weather phenomena. | Estimated | Standard | |
| Examine and inventory firefighting equipment, such as axes, fire hoses, shovels, pumps, buckets, and fire extinguishers, to determine amount and condition. | Estimated | Standard | |
| Educate the public about fire safety and prevention. | Estimated | Standard | |
| Administer regulations regarding sanitation, fire prevention, violation corrections, and related forest regulations. | Estimated | Frontier | |
| Restrict public access and recreational use of forest lands during critical fire seasons. | Estimated | Efficient | |
| Conduct wildland firefighting training. | Estimated | Efficient | |
| Direct maintenance and repair of firefighting equipment, or requisition new equipment. | Estimated | Standard | |
| Maintain records and logbooks. | Estimated | Efficient | |
| Inspect camp sites to ensure that campers are in compliance with forest use regulations. | Estimated | Efficient |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 16 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 16 of 16. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A standard-tier model or lower covers 88% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 2,780
- Median annual wage
- $56,870
- Middle half of earners
- $43,760 to $81,500
- Projected change, 2024 to 2034
- +14.6%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- First-Line Supervisors of Firefighting and Prevention Workers 74% skill overlap, about 9 months to move Exposure33
- Fire Inspectors and Investigators 74% skill overlap, about 9 months to move Exposure37
- Forest and Conservation Workers 73% skill overlap, about 10 months to move Exposure20
- Foresters 71% skill overlap, about 10 months to move Exposure40
- Firefighters 71% skill overlap, about 11 months to move Exposure39
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Forest Fire Inspectors and Prevention Specialists and AI
Will AI replace Forest Fire Inspectors and Prevention Specialists?
AI already handles 2 of the 16 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 49 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +14.6% from 2024 to 2034.
What is the AI exposure of Forest Fire Inspectors and Prevention Specialists?
49 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 16 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 16 are estimated from each task's O*NET work activity.
Which Forest Fire Inspectors and Prevention Specialists tasks can AI already do?
The tasks with the highest exposure are: Compile and report meteorological data, such as temperature, relative humidity, wind direction and velocity, and types of cloud formations; Inspect forest tracts and logging areas for fire hazards such as accumulated wastes or mishandling of combustibles, and recommend appropriate fire prevention measures. They are the tasks that reach 60 or more.
What AI model tier does this role need?
A standard-tier model or lower covers 88% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Forest Fire Inspectors and Prevention Specialists, and what do they earn?
2,780 people in the United States, with a median annual wage of $56,870 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +14.6% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Forest Fire Inspectors and Prevention Specialists. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/forest-fire-inspectors-and-prevention-specialists
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