π‘ Ship Engineers have a composite risk score of 33/100 (Frey-Osborne probability: 4%, GenAI exposure: 53/100). With 8,580 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 8,580 workers and a median wage of $101K,ship engineers represent a significant portion of the US workforce. Their GenAI exposure index is 53%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
33/100
Employment
8,580
Median Wage
$101K
GenAI Exposure
53%
β οΈ Top Risk Factors
AI route optimization reducing dispatcher roles
Automated warehouse sorting and loading systems
Drone delivery displacing last-mile logistics workers
π‘οΈ Tasks AI Can't Easily Replace
Customer interaction and conflict resolution during delivery
Emergency situation response and quick decision-making
Manual loading of irregular and fragile cargo
Navigating complex urban environments with obstacles
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Air Transportation Workers
79% skills overlap Β· $107K median wage
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors
71% skills overlap Β· $62K median wage
Ambulance Drivers and Attendants, Except Emergency Medical Technicians
80% skills overlap Β· $34K median wage
β Frequently Asked Questions
Will AI completely replace ship engineers?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for ship engineers?
Ship Engineers have a composite AI automation risk score of 33 out of 100, classified as "Moderate".
How many ship engineers are there in the US?
There are approximately 8,580 ship engineers employed in the United States.
What do ship engineers earn?
The median annual wage for ship engineers is $101K.
What skills should ship engineers develop?
Focus on tasks AI can't easily replicate: customer interaction and conflict resolution during delivery, emergency situation response and quick decision-making, manual loading of irregular and fragile cargo, navigating complex urban environments with obstacles. These human-centric skills will become more valuable as routine tasks are automated.