As of August 2026, Marine Engineers and Naval Architects has an AI-exposure score of 54/100 (Elevated exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Marine Engineers and Naval Architects

54/100
Elevated exposure
LowModerateElevatedHighVery High

More exposed than 42% of the roles we track. Median pay ~US$112,230. About 600 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

Will AI replace Marine Engineers and Naval Architects?

No exposure score can predict whether AI will replace this role. The 54/100 score means our current model estimates elevated task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role is in the Elevated exposure band, but its assessed task mix is not automation-heavy. The study found the decline concentrated where AI was more likely to automate rather than augment work, so the headline figure should not be applied directly.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Design, develop, and evaluate the operation of marine vessels, ship machinery, and related equipment, such as power supply and propulsion systems.

Common titles
Marine EngineerMarine SurveyorNaval ArchitectNaval Architect SpecialistMarine ArchitectMarine Design Engineer
O*NET job-zone preparation
Job Zone 4 · Considerable Preparation Needed Most of these occupations require a four-year bachelor's degree, but some do not. A considerable amount of work-related skill, knowledge, or experience is needed for these occupations.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Complex Problem SolvingCritical ThinkingReading ComprehensionJudgment and Decision MakingSpeakingWriting
Work context
Frequent contact with othersIndoor controlled settingDecision latitudeConsequence of errorRepeating tasks

Source: O*NET 29.1 exact occupation - Marine Engineers and Naval Architects, SOC 17-2121.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Marine Engineers and Naval Architects tasks, by AI exposure

Automatable

No automatable tasks identified for this role - its individually-assessed tasks split 70% augmentable / 30% durable.

Augmentable
  • Perform monitoring activities to ensure that ships comply with international regulations and standards for life-saving equipment and pollution preventatives.
  • Check, test, and maintain automatic controls and alarm systems.
12 more augmentable tasks locked in the report.
Durable
  • Coordinate activities with regulatory bodies to ensure repairs and alterations are at minimum cost and consistent with safety.
  • Evaluate performance of craft during dock and sea trials to determine design changes and conformance with national and international standards.
4 more durable tasks locked in the report.

We analyzed all 20 Marine Engineers and Naval Architects tasks - 14 augmentable and 6 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.

Mechanical Engineer
40% skills overlap; 6 points lower - lower exposure; Moderate band; ~US$96,310
View path
48
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Perform monitoring activities to ensure that ships comply with international regulations and standards for life-saving equipment and pollution preventatives.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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Marine Engineers and Naval Architects - median pay by US state (BLS OEWS, USD)

Texas: US$152,780Florida: US$130,640New York: US$112,230California: US$110,700

Median annual wage, in USD. US national: US$112,230. More states are being added.

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