Mostly Resilient
Last Update: 5/19/2026
AI Resilience Score for Nuclear Engineers:
51.0%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forNuclear Engineers
$127,520 median salary•800 annual openings•SOC Code: 17-2161.00
Nuclear Engineers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Nuclear engineering is "Mostly Resilient" because while AI is genuinely changing how the work gets done, it's taking over the tedious, time-consuming tasks — like drafting lengthy regulatory documents — rather than replacing the safety judgment and creative problem-solving that engineers are actually hired for. The high-stakes nature of nuclear technology means strict regulations and a deep safety culture require human experts to review every AI output, keeping engineers firmly in the decision-making seat.
Learn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is mostly resilient
Nuclear engineering is "Mostly Resilient" because while AI is genuinely changing how the work gets done, it's taking over the tedious, time-consuming tasks — like drafting lengthy regulatory documents — rather than replacing the safety judgment and creative problem-solving that engineers are actually hired for. The high-stakes nature of nuclear technology means strict regulations and a deep safety culture require human experts to review every AI output, keeping engineers firmly in the decision-making seat.
Read full analysisAnalysis of Current AI Resilience
Nuclear Engineers
Updated Quarterly

How is AI changing Nuclear Engineers jobs?
If you're worried that AI is about to take over nuclear engineering, take a breath — what's actually happening right now is augmentation, not replacement. AI is being used to handle the slow, paperwork-heavy parts of the job so engineers can focus on the science and safety decisions that humans do best. For example, the U.S. Department of Energy recently announced that an AI tool called Gordian generated a 208-page chapter of a Nuclear Regulatory Commission license application in about one day — a task that normally takes a team four to six weeks [1].
The American Nuclear Society reports the DOE plans to use these tools "for draft authorship, shifting expert labor to refinement and review," with human experts still reviewing every output [2]. Researchers are also building nuclear-specific AI assistants like RADIANT-LLM at Texas A&M, which pulls trusted technical documents and runs reactor simulations while keeping "a human in the loop" [3]. On the design side, Oklo and Idaho National Laboratory just launched an AI platform called Prometheus to speed up advanced reactor and fuel-system design [4].
Sources

How fast is AI adoption growing for Nuclear Engineers?
Adoption is moving faster than people expected, but carefully. Nuclear plants already collect huge amounts of digital data, which the OECD Nuclear Energy Agency notes makes them a natural fit for AI tools that can spot anomalies and improve safety margins [2]. At the same time, an international NEA task force is writing benchmark rules [5] before AI is trusted with safety-critical modeling.
Strict regulation, the "black box" problem, and a deep safety culture will keep humans firmly in charge — meaning judgment, ethics, and design creativity remain very valuable skills for the next generation of nuclear engineers.
Sources

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More Career Info
Career: Nuclear Engineers
They design and work with nuclear power systems to create energy safely and solve problems related to nuclear technologies.
Parent Careers
Employment & Wage Data
Median Wage
$127,520
Jobs (2024)
15,400
Growth (2024-34)
-1.1%
Annual Openings
800
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Recommend preventive measures to be taken in the handling of nuclear technology, based on data obtained from operations monitoring or from evaluation of test results.
2
Design or develop nuclear equipment, such as reactor cores, radiation shielding, or associated instrumentation or control mechanisms.
3
Design or oversee construction or operation of nuclear reactors or power plants or nuclear fuels reprocessing and reclamation systems.
4
Synthesize analyses of test results, and use the results to prepare technical reports of findings and recommendations.
5
Direct operating or maintenance activities of operational nuclear power plants to ensure efficiency and conformity to safety standards.
6
Conduct environmental studies related to topics such as nuclear power generation, nuclear waste disposal, or nuclear weapon deployment.
7
Perform experiments that will provide information about acceptable methods of nuclear material usage, nuclear fuel reclamation, or waste disposal.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
