Share and intensity of work current AI systems can materially affect.
SOC 53-5031
Ship Engineers AI displacement risk
Ship engineers monitor, operate, and repair vessel engines and machinery, keeping propulsion and power running at sea. Engine-room automation and condition monitoring are decades deep, and autonomous-vessel trials run with reduced crews — but licensed engineers remain aboard under crewing rules, fixing what breaks mid-ocean.
Likely potential for exposed tasks to move to software after workflow integration.
Distinct from deck-side sailors and captains: this is the machinery end. Unmanned engine rooms exist on some runs with engineers ashore on call — the direction of travel — but international routes, breakdown response, and regulation keep licensed engineers aboard.
Distribution
Where Ship Engineers sits across 620 tracked roles
Displacement pressure 20 — higher than 23% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
17 O*NET task statements matched to SOC 53-5031. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $109,530 (May 2025, US national). The latest BLS row matched SOC 53-5031.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Ship Engineers
SOC 53-5031 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 20/100 role score and are not an occupation forecast.
+1.1% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +1.6% GDP and 3.9% unemployment.
+5.9% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +8.3% GDP and 4.6% unemployment.
+33.6% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Ship Engineers
The current evidence import matched 17 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks17
SOC53-5031
- Core task / ID 14553
Monitor engine, machinery, or equipment indicators when vessels are underway, and report abnormalities to appropriate shipboard staff.
- Core task / ID 14552
Monitor the availability, use, or condition of lifesaving equipment or pollution preventatives to ensure that international regulations are followed.
- Core task / ID 14559
Monitor and test operations of engines or other equipment so that malfunctions and their causes can be identified.
- Core task / ID 14558
Start engines to propel ships, and regulate engines and power transmissions to control speeds of ships, according to directions from captains or bridge computers.
- Core task / ID 14556
Perform or participate in emergency drills, as required.
- Core task / ID 14561
Perform general marine vessel maintenance or repair work, such as repairing leaks, finishing interiors, refueling, or maintaining decks.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Monitor engine and machinery indicators underway
Exposure 34, automation 17%, augmentation 52%.
O*NET evidence: Monitor engine, machinery, or equipment indicators when vessels are underway, and repor... (ID 14553)
Monitor and test operations to identify malfunctions
Exposure 32, automation 15%, augmentation 52%.
O*NET evidence: Monitor and test operations of engines or other equipment so that malfunctions and thei... (ID 14559)
Perform general vessel maintenance and repair
Exposure 22, automation 9%, augmentation 42%.
O*NET evidence: Perform general marine vessel maintenance or repair work, such as repairing leaks, fini... (ID 14561)
Regulate engines to control vessel speed
Exposure 26, automation 12%, augmentation 46%.
O*NET evidence: Start engines to propel ships, and regulate engines and power transmissions to control ... (ID 14558)
TaskExposureAutomationAugmentation
Monitor engine and machinery indicators underway3417%52%
Monitor and test operations to identify malfunctions3215%52%
Perform general vessel maintenance and repair229%42%
Regulate engines to control vessel speed2612%46%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
LowChief Engineer
Training horizon: 24-36 months. Skill overlap 64. Wage preservation signal 136.
- Accumulate licensed sea time
- Advance license levels
- Lead engine departments
role redesign
LowPort Engineer
Training horizon: 6-12 months. Skill overlap 60. Wage preservation signal 118.
- Move shoreside to fleet support
- Manage vessel maintenance budgets
- Oversee drydockings
Comparison guides
Compare the next move before you commit
24-36 months
Ship Engineers to Chief Engineer
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Ship Engineers into Chief Engineer.
6-12 months
Ship Engineers to Port Engineer
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Ship Engineers into Port Engineer.
What the AI risk score means for Ship Engineers
The displacement pressure score for Ship Engineers is 20. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Monitor engine and machinery indicators underway carries 17% automation pressure, while Monitor engine and machinery indicators underway carries 52% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $109,530 (May 2025, US national). Employment context: Engine-room officers watching autonomous-ship trials. Typical education: Maritime academy or hawsepipe progression plus Coast Guard licensing.
Wage vulnerability is 26, while transition feasibility is 60. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low displacement pressure
- Monitoring is mature; repair stays aboard
- Crewing rules mandate engineers
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Ship Engineers, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Marine engineering
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Machinery diagnostics
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
At-sea repair
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Safety compliance
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Chief Engineer, such as accumulate licensed sea time.
- By 90 days, compare internal openings and external postings for Chief Engineer or Port Engineer and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Ship Engineers
Will AI replace Ship Engineers?
Ship engineers monitor, operate, and repair vessel engines and machinery, keeping propulsion and power running at sea. Engine-room automation and condition monitoring are decades deep, and autonomous-vessel trials run with reduced crews — but licensed engineers remain aboard under crewing rules, fixing what breaks mid-ocean. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Ship Engineers work are most exposed to AI?
Monitor engine and machinery indicators underway and Monitor and test operations to identify malfunctions show the strongest automation pressure in this model. Monitor engine and machinery indicators underway and Monitor and test operations to identify malfunctions are better treated as AI-augmented work.
What should Ship Engineers learn next?
Start with Marine engineering, Machinery diagnostics, At-sea repair. The most practical adjacent paths in this model are Chief Engineer and Port Engineer.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
OECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics