π‘ Locomotive Engineers have a composite risk score of 61/100 (Frey-Osborne probability: 96%, GenAI exposure: 42/100). With 31,990 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 31,990 workers and a median wage of $77K,locomotive engineers 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
61/100
Employment
31,990
Median Wage
$77K
GenAI Exposure
42%
β οΈ Top Risk Factors
Drone delivery displacing last-mile logistics workers
AI route optimization reducing dispatcher roles
Automated warehouse sorting and loading systems
Autonomous vehicle and self-driving truck technology
π‘οΈ Tasks AI Can't Easily Replace
Emergency situation response and quick decision-making
Navigating unpredictable road and weather conditions
Customer interaction and conflict resolution during delivery
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Air Transportation Workers
75% skills overlap Β· $107K median wage
Ship Engineers
71% skills overlap Β· $101K median wage
Aircraft Cargo Handling Supervisors
84% skills overlap Β· $64K median wage
β Frequently Asked Questions
Will AI completely replace locomotive engineers?
Likely for many tasks. The role will look very different in 5β10 years.
What is the AI risk score for locomotive engineers?
Locomotive Engineers have a composite AI automation risk score of 61 out of 100, classified as "High Risk".
How many locomotive engineers are there in the US?
There are approximately 31,990 locomotive engineers employed in the United States.
What do locomotive engineers earn?
The median annual wage for locomotive engineers is $77K.
What skills should locomotive engineers develop?
Focus on tasks AI can't easily replicate: emergency situation response and quick decision-making, navigating unpredictable road and weather conditions, customer interaction and conflict resolution during delivery. These human-centric skills will become more valuable as routine tasks are automated.