π‘ Firefighters have a composite risk score of 32/100 (Frey-Osborne probability: 17%, GenAI exposure: 30/100). With 332,240 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
With 332,240 workers and a median wage of $60K,firefighters represent a significant portion of the US workforce. Their GenAI exposure index is 30%, meaning a minority of their core tasks overlap with current generative AI capabilities.
Risk Score
32/100
Employment
332,240
Median Wage
$60K
GenAI Exposure
30%
β οΈ Top Risk Factors
Automated access control and identity verification
Predictive policing and crime analytics
Drone-based perimeter monitoring and response
π‘οΈ Tasks AI Can't Easily Replace
Community relationship-building and trust development
Split-second judgment in life-threatening situations
Navigating legally and ethically complex enforcement scenarios
De-escalation of volatile interpersonal confrontations
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Advertising, Marketing, Promotions, Public Relations, and Sales Managers
57% skills overlap Β· $145K median wage
Lawyers, Judges, and Related Workers
55% skills overlap Β· $144K median wage
Education Administrators, All Other
67% skills overlap Β· $89K median wage
β Frequently Asked Questions
Will AI completely replace firefighters?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for firefighters?
Firefighters have a composite AI automation risk score of 32 out of 100, classified as "Moderate".
How many firefighters are there in the US?
There are approximately 332,240 firefighters employed in the United States.
What do firefighters earn?
The median annual wage for firefighters is $60K.
What skills should firefighters develop?
Focus on tasks AI can't easily replicate: community relationship-building and trust development, split-second judgment in life-threatening situations, navigating legally and ethically complex enforcement scenarios, de-escalation of volatile interpersonal confrontations. These human-centric skills will become more valuable as routine tasks are automated.