39
/100

SOC 33-2022

Forest Fire Inspectors and Prevention Specialists

ModerateFrey/Osborne: 4.8%

Risk Score

โš ๏ธ

39/100

Moderate

US Employment

๐Ÿ‘ฅ

2,780

Total workers

Median Wage

๐Ÿ’ฐ

$52K

$34K โ€“ $100K

Projected Growth

๐Ÿ“ˆ

+14.6%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

59/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Forest Fire Inspectors and Prevention Specialists face a risk score of 39/100 โ€” 5 points below the national average of 44. With 59/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $52K ($6K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 39/100, Forest Fire Inspectors and Prevention Specialists faces moderate automation pressure. While tasks like ai-powered surveillance and threat detection systems are increasingly handled by AI, the role retains significant human elements. The 2,780 workers in this occupation should focus on strengthening skills in physical apprehension and emergency response and de-escalation of volatile interpersonal confrontations to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Forest Fire Inspectors and Prevention Specialists?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

AI-powered surveillance and threat detection systems

2

Automated access control and identity verification

3

Predictive policing and crime analytics

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Physical apprehension and emergency response

โœ“

De-escalation of volatile interpersonal confrontations

โœ“

Navigating legally and ethically complex enforcement scenarios

โœ“

Community relationship-building and trust development

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Relay messages about emergencies, accidents, locations of crew and personnel, and fire hazard conditions.

โ€ข

Conduct wildland firefighting training.

โ€ข

Estimate sizes and characteristics of fires, and report findings to base camps by radio or telephone.

โ€ข

Direct crews working on firelines during forest fires.

โ€ข

Locate forest fires on area maps, using azimuth sighters and known landmarks.

๐Ÿ’ป Technology Skills

โ€ข

Cloud-based management software

โ€ข

Data base user interface and query software

โ€ข

Expert system software

โ€ข

Application server software

โ€ข

Enterprise resource planning ERP software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Administration and Management

โ€ข

Customer and Personal Service

โ€ข

Education and Training

โ€ข

Personnel and Human Resources

โ€ข

Public Safety and Security

๐Ÿ“Š vs National Average

Median Wage$52K
+$6K

National avg: $46K

Risk Score39/100
-5

National avg: 44/100

GenAI Exposure59/100
+21

National avg: 38/100

Projected Growth14.6%
+10.9%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K51%
Lawyers, Judges, and Related Workers17$144K69%
Education Administrators, All Other21$89K61%