Marine engineers and naval architects

AI Overlap Index
46.8 / 100
Partially Exposed

Clear pressure on routine tasks. Composition of the role will shift within the decade.

SOC 17-2121 · Architecture And Engineering

Bureau of Labor Statistics
Median pay
$105,670/yr
Hourly
$51/hr
Jobs 2024
8,500
Projected 2034
9,000
10-yr outlook
+6% · Faster than average
Employment change
500
Entry education
Bachelor's degree
SOC code
17-2121

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
50.2
contribution to AOI: 30.1
Automation Potential weight 10%
70.0
contribution to AOI: 7.0
Market Pressure weight 15%
30.0
contribution to AOI: 4.5
Entry Barrier Erosion weight 15%
35.0
contribution to AOI: 5.2

By seniority

multiplicative adjustment from category curve

Entry
56.2
mult 1.20x
Mid
46.8
mult 1.00x
Senior
36.5
mult 0.78x

Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.

Task-level analysis

scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance

8 tasks · model: claude-sonnet-4-5-20250929
Supporting t8

Prepare technical reports for engineers, managers, or sales personnel

AI can synthesize technical data into structured reports, generate visualizations, and tailor content for different audiences with minimal human intervention, requiring only light review for accuracy and tone—a task already being automated in many engineering contexts.

BLS evidence: The duties section includes 'Prepare technical reports for use by engineers, managers, or sales personnel.'

82
automation
Important t4

Prepare system layouts and detailed drawings and schematics

AI-powered CAD tools can generate detailed system layouts, drawings, and schematics from specifications with high accuracy, requiring human review for compliance and integration checks but substantially reducing the labor content of drafting work.

BLS evidence: The duties section lists 'Prepare system layouts and detailed drawings and schematics' as a typical task.

72
automation
Important t6

Prepare cost estimates, contract specifications, and design and construction schedules

AI can generate cost estimates from historical data, produce contract specifications from templates, and create schedules using project management algorithms, though human review is needed for market conditions, vendor negotiations, and risk assessment.

BLS evidence: The duties section states they 'Prepare cost estimates, contract specifications, and design and construction schedules.'

68
automation
Core t2

Study design proposals and specifications to establish basic vessel characteristics

AI can analyze design proposals, extract specifications, and calculate basic vessel characteristics using engineering databases and physics models, but establishing final characteristics requires human judgment on trade-offs between competing requirements and stakeholder priorities.

BLS evidence: Marine engineers and naval architects 'Study design proposals and specifications to establish basic characteristics of a marine vessel, such as its size, weight, and speed.'

58
automation
Important t7

Coordinate activities with regulatory bodies to ensure safe and cost-effective repairs and alterations

AI can draft communications and track regulatory requirements, but coordinating with regulatory bodies requires nuanced negotiation, relationship management, and real-time adaptation to regulatory feedback that demands substantial human involvement.

BLS evidence: They 'Coordinate activities with regulatory bodies to ensure that repairs and alterations are done safely and at minimal cost.'

48
automation
Core t1

Design ship hulls and superstructures following safety, efficiency, and economy standards

AI can generate hull designs using computational fluid dynamics and optimization algorithms, but the integration of safety standards, regulatory compliance, and real-world constraints requires substantial human engineering judgment and iterative refinement that AI cannot yet autonomously manage.

BLS evidence: The duties section states they 'Design ship hulls and superstructures, following standards for safety, efficiency and economy.'

42
automation
Important t5

Conduct environmental, operational, or performance tests on marine machinery and equipment

Conducting physical tests on marine machinery requires hands-on operation of equipment in marine environments, real-time monitoring of complex mechanical systems, and on-the-spot troubleshooting that current AI and robotics cannot reliably perform autonomously.

BLS evidence: They 'Conduct environmental, operational, or performance tests on marine machinery and equipment' according to the duties section.

35
automation
Core t3

Design and oversee building and testing of prototypes and marine equipment installation

While AI can assist with design generation and simulation, overseeing physical prototype building and testing requires on-site presence, real-time problem-solving in unpredictable marine environments, and hands-on coordination with fabrication teams that AI cannot perform.

BLS evidence: They 'Design and oversee the building and testing of prototypes and the installation and repair of marine equipment.'

25
automation

Task heatmap

automation score by task, sorted by weighted contribution

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External signals and sources

category-level priors and BLS fields that feed the four non-task signals

Automation Potential
70
karpathy 7/10
  • Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
Market Pressure
30
outlook: Faster than average
  • BLS projected outlook: Faster than average (6%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
35
ed: Bachelor's degree
  • BLS typical entry-level education: Bachelor's degree
  • Credential trend signal (annual refresh)

Related in Architecture And Engineering

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