π‘ Bus Drivers, School have a composite risk score of 62/100 (Frey-Osborne probability: 89%, GenAI exposure: 48/100). With 387,920 workers in the US, this is one of the most AI-vulnerable occupations. Full occupation profile β
π― The Verdict
Likely for many tasks. The role will look very different in 5β10 years.
With 387,920 workers and a median wage of $47K,bus drivers, school represent a significant portion of the US workforce. Their GenAI exposure index is 48%, meaning a minority of their core tasks overlap with current generative AI capabilities.
Risk Score
62/100
Employment
387,920
Median Wage
$47K
GenAI Exposure
48%
β οΈ Top Risk Factors
Predictive maintenance reducing manual inspection needs
Automated warehouse sorting and loading systems
AI traffic management and fleet coordination
AI route optimization reducing dispatcher roles
π‘οΈ Tasks AI Can't Easily Replace
Emergency situation response and quick decision-making
Navigating unpredictable road and weather conditions
Manual loading of irregular and fragile cargo
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors
74% skills overlap Β· $62K median wage
Aircraft Cargo Handling Supervisors
81% skills overlap Β· $64K median wage
Air Transportation Workers
77% skills overlap Β· $107K median wage
β Frequently Asked Questions
Will AI completely replace bus drivers, school?
Likely for many tasks. The role will look very different in 5β10 years.
What is the AI risk score for bus drivers, school?
Bus Drivers, School have a composite AI automation risk score of 62 out of 100, classified as "High Risk".
How many bus drivers, school are there in the US?
There are approximately 387,920 bus drivers, school employed in the United States.
What do bus drivers, school earn?
The median annual wage for bus drivers, school is $47K.
What skills should bus drivers, school develop?
Focus on tasks AI can't easily replicate: emergency situation response and quick decision-making, navigating unpredictable road and weather conditions, manual loading of irregular and fragile cargo. These human-centric skills will become more valuable as routine tasks are automated.