π‘ School Bus Monitors have a composite risk score of 58/100 (Frey-Osborne probability: 67%, GenAI exposure: 42/100). With 72,140 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Possible. Significant task automation is underway β workers should actively upskill.
With 72,140 workers and a median wage of $35K,school bus monitors represent a significant portion of the US workforce. Their GenAI exposure index is 42%, meaning a minority of their core tasks overlap with current generative AI capabilities.
Risk Score
58/100
Employment
72,140
Median Wage
$35K
GenAI Exposure
42%
β οΈ Top Risk Factors
AI-powered surveillance and threat detection systems
Predictive policing and crime analytics
Automated access control and identity verification
Drone-based perimeter monitoring and response
π‘οΈ Tasks AI Can't Easily Replace
Split-second judgment in life-threatening situations
Community relationship-building and trust development
Navigating legally and ethically complex enforcement scenarios
Physical apprehension and emergency response
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Education Administrators, All Other
59% skills overlap Β· $89K median wage
Social Workers, All Other
57% skills overlap Β· $69K median wage
Substance Abuse, Behavioral Disorder, and Mental Health Counselors
55% skills overlap Β· $59K median wage
β Frequently Asked Questions
Will AI completely replace school bus monitors?
Possible. Significant task automation is underway β workers should actively upskill.
What is the AI risk score for school bus monitors?
School Bus Monitors have a composite AI automation risk score of 58 out of 100, classified as "Elevated".
How many school bus monitors are there in the US?
There are approximately 72,140 school bus monitors employed in the United States.
What do school bus monitors earn?
The median annual wage for school bus monitors is $35K.
What skills should school bus monitors develop?
Focus on tasks AI can't easily replicate: split-second judgment in life-threatening situations, community relationship-building and trust development, navigating legally and ethically complex enforcement scenarios, physical apprehension and emergency response. These human-centric skills will become more valuable as routine tasks are automated.