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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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The AI Resilience Report is a project from CareerVillage®, a registered 501(c)(3) nonprofit.
Last Update: 4/23/2026
Your role’s AI Resilience Score is
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%).
Med
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
Nuclear Technicians are less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
This career is labeled as "Not Very Resilient" because many tasks in nuclear technology are being automated or fundamentally changed by AI and robotics, such as monitoring systems and safety report generation. While AI tools are becoming more common in nuclear plants to streamline operations and reduce workloads, they primarily assist rather than replace human workers.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is not very resilient
This career is labeled as "Not Very Resilient" because many tasks in nuclear technology are being automated or fundamentally changed by AI and robotics, such as monitoring systems and safety report generation. While AI tools are becoming more common in nuclear plants to streamline operations and reduce workloads, they primarily assist rather than replace human workers.
Read full analysisAnalysis of Current AI Resilience
Nuclear Technicians
Updated Quarterly • Last Update: 2/17/2026

In nuclear power work, some routine tasks can use computer tools but still need people’s oversight. For example, computers already help with math and data – engineers use software to do calculations, though a technician must check them. Industry research notes that nuclear plants are adding digital systems and automation (like computer-based procedures) to help operators [1].
High-tech sensor networks and AI are being tested to improve safety. One study designed a multi-sensor radiation-monitoring system that uses AI to pinpoint leaks faster, improving accuracy and helping protect workers [1]. In very dangerous zones (like at Fukushima), robots have been sent in to map radiation and begin cleanup where humans can’t safely go [2].
This shows how physical tasks (decontamination, inspection) can be partly done by machines.
However, many core duties still rely on people. Official job guides (O*NET) list following safety policies and deciding how to decontaminate equipment as key tasks [3] [3]. AI and robots are more like helpers: they feed data to humans or do rough work.
For example, automation can reduce workload in procedure steps [1], but humans stay “in the loop” to verify results. In short, AI is starting to streamline calculations and monitoring (so tasks are augmented), but technicians’ judgment is still needed to ensure safety and compliance.

Adopting AI in nuclear tech is careful and gradual. Money and trust matter here: building and running reactors is very expensive, so companies want proven benefits. Tools like the Idaho Lab’s Microsoft AI system show how software can automate writing safety reports, but even developers stress “humans aren’t taken out of the loop” [4].
Regulators such as the U.S. Nuclear Regulatory Commission (NRC) are exploring AI too, but any new tech must pass strict reviews [4] [1]. In other words, the industry moves slowly because mistakes can cost lives.
On the other hand, there are clear benefits. AI can speed up work and spot issues faster, which helps the economy of nuclear energy. For instance, startups are already installing AI tools at plants (one is running at Diablo Canyon, CA) to analyze data [4].
A research study found that more automation tends to lower worker workload [1]. Still, computerization brings challenges: people worry about over-relying on AI or losing skills [1].
Overall, AI in nuclear tech is growing but smartly. Young technicians will likely use new software and robots as assistants. Human skills like careful decision-making, safety training, and teamwork stay crucial [1] [1].
The field values precision and human judgment, so AI complements rather than replaces people. This means the job won’t vanish – it will evolve, with tech making work safer and more interesting for those in the field [1] [1].

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They assist scientists by monitoring and maintaining equipment used in nuclear energy, ensuring everything runs safely and efficiently.
Median Wage
$104,240
Jobs (2024)
6,000
Growth (2024-34)
-7.7%
Annual Openings
700
Education
Associate's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Perform testing, maintenance, repair, or upgrading of accelerator systems.
Modify, devise, and maintain equipment used in operations.
Warn maintenance workers of radiation hazards and direct workers to vacate hazardous areas.
Follow policies and procedures for radiation workers to ensure personnel safety.
Identify and implement appropriate decontamination procedures, based on equipment and the size, nature, and type of contamination.
Monitor instruments, gauges, and recording devices in control rooms during operation of equipment, under direction of nuclear experimenters.
Measure the intensity and identify the types of radiation in work areas, equipment, or materials, using radiation detectors or other instruments.
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.

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