Nuclear engineers

AI Overlap Index
47.5 / 100
Partially Exposed

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

SOC 17-2161 · Architecture And Engineering

Bureau of Labor Statistics
Median pay
$127,520/yr
Hourly
$61/hr
Jobs 2024
15,400
Projected 2034
15,300
10-yr outlook
-1% · Decline
Employment change
-200
Entry education
Bachelor's degree
SOC code
17-2161

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
47.5
contribution to AOI: 28.5
Automation Potential weight 10%
70.0
contribution to AOI: 7.0
Market Pressure weight 15%
45.0
contribution to AOI: 6.8
Entry Barrier Erosion weight 15%
35.0
contribution to AOI: 5.2

By seniority

multiplicative adjustment from category curve

Entry
57.0
mult 1.20x
Mid
47.5
mult 1.00x
Senior
37.1
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

10 tasks · model: claude-sonnet-4-5-20250929
Important t5

Provide dose and shielding calculations for nuclear applications

Dose and shielding calculations are well-defined physics problems with established models and codes. AI can perform these calculations, run Monte Carlo simulations, and optimize shielding designs with human review of critical applications, substantially reducing labor content.

BLS evidence: Nuclear engineers in medical applications 'provide dose and shielding calculations for medical isotope production.'

72
automation
Supporting t9

Write operating instructions for nuclear plants and equipment

AI can draft operating procedures from technical specifications, safety requirements, and existing documentation, producing structured instructions that require expert review. The writing task itself is highly automatable, though validation by nuclear engineers remains essential.

BLS evidence: Nuclear engineers 'Write instructions to be used in operating nuclear plants or other nuclear equipment or in managing nuclear materials.'

68
automation
Core t2

Monitor nuclear facility operations to ensure compliance with safety regulations and standards

AI can monitor sensor data streams, detect anomalies, and flag compliance issues in real-time, substantially reducing human monitoring load. However, safety-critical decision-making and regulatory accountability require human oversight of AI recommendations, especially for non-routine situations.

BLS evidence: Nuclear engineers 'Monitor nuclear facility design, construction, and operation practices to ensure compliance with state and federal regulations.'

58
automation
Supporting t10

Assist in drafting new regulations and standards based on research

AI can analyze research findings, compare regulatory frameworks, and draft regulation language, but crafting nuclear safety regulations requires balancing technical feasibility, industry input, political considerations, and public safety in ways that demand human judgment and stakeholder engagement.

BLS evidence: In research and regulation, they 'may assist in drafting new regulations and standards based on research and experiments.'

55
automation
Important t6

Examine nuclear accidents and analyze data to design preventive measures

AI can process accident data, identify patterns, and simulate failure modes, but analyzing nuclear accidents requires understanding complex sociotechnical factors, regulatory context, and designing preventive measures involves high-stakes judgment that demands substantial human expertise.

BLS evidence: In research and regulation, they 'examine nuclear accidents and analyze the data to aid in designing preventive measures.'

52
automation
Important t4

Design and conduct irradiation experiments and analyze their results

AI can design experiment parameters, predict outcomes via simulation, and analyze resulting data patterns, but conducting physical irradiation experiments requires hands-on laboratory work and interpreting novel results requires domain expertise that AI supports but doesn't replace.

BLS evidence: In the medical area, nuclear engineers 'design and conduct irradiation experiments and then analyze and document the results of these experiments.'

48
automation
Core t3

Test and evaluate methods of managing nuclear material or reclaiming nuclear fuel

AI can model nuclear material behavior, simulate fuel cycles, and analyze test data, but physical testing requires lab work and the evaluation of novel fuel management methods demands expert judgment on safety and feasibility that AI cannot yet provide autonomously.

BLS evidence: The duties section specifies they 'Test whether methods of managing nuclear material or reclaiming nuclear fuel are acceptable.'

42
automation
Important t7

Design or evaluate nuclear propulsion systems for naval vessels

Naval nuclear propulsion involves classified systems, extreme safety requirements, and integration with complex vessel designs. AI can assist with thermal-hydraulic modeling and optimization, but the design and evaluation process requires deep specialized expertise and security clearances.

BLS evidence: Nuclear engineers in defense 'help design or evaluate these systems to ensure compliance with safety standards and system specifications.'

38
automation
Core t1

Design or develop nuclear equipment such as reactor cores, nuclear batteries, and radiation shielding

AI can assist with simulations, materials analysis, and design optimization, but core nuclear equipment design requires deep domain expertise, safety-critical judgment, and accountability that keeps humans central. AI serves as a powerful design tool but cannot autonomously produce validated reactor core designs.

BLS evidence: The duties section states nuclear engineers 'Design or develop nuclear equipment—such as reactor cores, nuclear batteries, and radiation shielding—and its associated instruments.'

35
automation
Important t8

Direct maintenance activities at nuclear power plants

Directing maintenance at nuclear facilities requires on-site presence, coordination of specialized crews, real-time safety decisions in unpredictable situations, and regulatory accountability. AI can schedule and optimize, but cannot replace the human director role.

BLS evidence: Utility power generation engineers 'may direct maintenance activities to ensure that these plants meet safety standards.'

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
45
outlook: Decline
  • BLS projected outlook: Decline (-1%)
  • 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)

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