How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Prepare plans, estimates, design and construction schedules, and contract specifications, including any special provisions.74
- Conduct analyses of ships, such as stability, structural, weight, and vibration analyses.73
- Maintain contact with, and formulate reports for, contractors and clients to ensure completion of work at minimum cost.73
- Prepare technical reports for use by engineering, management, or sales personnel.72
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Maintain and coordinate repair of marine machinery and equipment for installation on vessels.01
- Design and oversee testing, installation, and repair of marine apparatus and equipment.02
- Procure materials needed to repair marine equipment and machinery.03
- Maintain records of engineering department activities, including expense records and details of equipment maintenance and repairs.04
- Coordinate activities with regulatory bodies to ensure repairs and alterations are at minimum cost and consistent with safety.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Ship Engineers
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Compare these careers →Aerospace Engineering and Operations Technologists and Technicians
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Compare these careers →Mechanical Engineering Technologists and Technicians
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Related work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
