Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Nuclear Monitor Tech:
39.4%
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forNuclear Monitoring Technicians
$110,240 median salary•900 annual openings•SOC Code: 19-4051.02
Nuclear Monitoring Technicians are somewhat less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Nuclear monitoring technicians are labeled "Somewhat Resilient" because AI and robotics are genuinely changing how a big part of this job gets done, with drones and robotic arms now handling the most dangerous tasks like mapping contaminated zones and managing nuclear waste. That means the role is shifting away from hands-on hazardous work and toward supervising smart tools, analyzing AI-generated data, and making safety calls that machines still cannot make on their own.
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Nuclear monitoring technicians are labeled "Somewhat Resilient" because AI and robotics are genuinely changing how a big part of this job gets done, with drones and robotic arms now handling the most dangerous tasks like mapping contaminated zones and managing nuclear waste. That means the role is shifting away from hands-on hazardous work and toward supervising smart tools, analyzing AI-generated data, and making safety calls that machines still cannot make on their own.
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Nuclear Monitor Tech
Updated Quarterly
How is AI changing Nuclear Monitor Tech jobs?
Right now, AI is mostly augmenting — not replacing — nuclear monitoring technicians, and the work is shifting toward supervising smart tools instead of doing every measurement by hand. The riskiest part of the job (going into contaminated zones) is increasingly being handled by robots and drones. The IAEA reports that drones equipped with radiation detectors, cameras, and GPS devices, developed for use in Fukushima Prefecture, are now available for practical use in routine or emergency situations, letting authorities map contaminated areas that are too dangerous for people to enter, and it points out that the low cost of drones and the fact that people avoid being exposed to radiation are significant advantages of this technology.
For cleanup, teleoperated robotic arms are being trialed in the UK to handle legacy nuclear waste [1] to make decommissioning safer and more efficient.
On the paperwork and calculation side (writing contamination reports, computing safe exposure times), AI is speeding things up rather than eliminating the technician. At Oak Ridge, researcher Caleigh Samuels is leveraging AI to modernize computational models that provide decision-makers with high-quality technical data for nuclear safety, work that supports the NRC and plant workers. Smart drones themselves are becoming analysts — the CITI Program notes they are not just flying cameras but multi-sensor intelligence platforms capable of real-time environmental analysis.
Sources
How fast is AI adoption growing for Nuclear Monitor Tech?
Adoption is happening, but carefully. The NRC is taking a "metered" approach to AI [2], reflecting how heavily regulated this field is — every tool must be proven safe before it touches a reactor. At the same time, demand is exploding: NEI's president highlighted that Microsoft and NVIDIA announced a partnership to create new generative AI tools for the nuclear industry [3], and a wave of new reactors is coming online.
That growth, plus a looming workforce shortage, gives plants a strong reason to use AI to stretch their existing teams. Hands-on human skills — sampling, decontaminating, and judging edge cases — remain hard to automate, so if you're curious about this career, learning to work alongside drones, robots, and AI reporting tools is a smart, hopeful move.
Sources
Will AI replace Nuclear Monitor Tech?
Not entirely. We think AI will take over some tasks, but not the whole job.
Nuclear monitoring technicians score a 39.4% AI Resilience Score, which tells you this role faces real change. The riskiest, most repetitive parts are already shifting: drones equipped with radiation detectors and GPS are now handling contamination mapping in areas too dangerous for people to enter, and teleoperated robotic arms are being trialed for handling legacy nuclear waste to make decommissioning safer [1]. On the reporting side, AI is speeding up calculations and paperwork, not eliminating the person behind them.
What stays human is the judgment work: physical sampling, decontamination decisions, and reading edge cases that don't fit a clean pattern. Those skills are genuinely hard to automate in a field where every tool must be proven safe before it touches a reactor [2].
The economic picture is mixed. A wave of new reactors is coming online, and Microsoft and NVIDIA have announced partnerships to build generative AI tools for the nuclear industry [3], which signals growth but also more automation pressure. Long-term employer demand is the weakest part of this career's outlook. The smart move is learning to work alongside drones, robots, and AI reporting tools rather than around them.
Sources
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Latest AI news for Nuclear Monitor Tech
The recommended articles highlight how AI is transforming the nuclear industry, which is crucial for Nuclear Monitoring Technicians. For instance, the article on AI-driven advances in nuclear technology discusses improvements in reactor design and safety protocols, directly enhancing monitoring tasks. Additionally, insights on AI's role in preventing failures in nuclear plants illustrate how technicians can leverage these technologies to boost efficiency and safety. Embracing AI resilience in this field will empower technicians to adapt and thrive in an evolving landscape, ensuring they remain integral to nuclear operations.
Artificial intelligence-driven advances in nuclear technology
www.sciencedirect.com • 8/20/2026
by FE Arhouni · 2025 · Cited by 33 — This study examines a brief review of how AI improves reactor design, optimizes safety protocols, and refines monitoring systems in nuclear operations.
How AI in Nuclear Plants is Preventing Failures
discoveraccelerant.com • 8/20/2026
Oct 24, 2024 — By integrating AI-driven monitoring systems, nuclear facilities can improve efficiency, reduce downtime, and maintain the highest safety ... Read more
A review of the application of artificial intelligence to nuclear ...
pmc.ncbi.nlm.nih.gov • 8/20/2026
by Q Huang · 2023 · Cited by 156 — To make the computation tractable, AI-based surrogate models have been developed in order to accelerate the computation for nuclear reactor analysis, such as ... Read more
The Atom and the Algorithm: Nuclear Energy and AI are Converging to Shape the Future | IAEA
www.iaea.org • 12/3/2025
(As prepared for delivery). Distinguished delegates, colleagues and friends,. Writers and futurists have long echoed Alvin and Heidi...
Integrate AI on Submarines to Predict, Detect, and Decide | Proceedings - July 2025 Vol. 151/7/1,469
www.usni.org • 6/30/2025
U.S. Naval Academy Class of 2025 Capstone Essay Contest Winner—Category: Submarines. Artificial intelligence (AI) can enhance mission execution, training,...
More Career Info
Career: Nuclear Monitoring Technicians
They ensure nuclear plants stay safe by checking equipment and measuring radiation levels to prevent leaks and protect the environment and people.
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Employment & Wage Data
Median Wage
$110,240
Jobs (2025)
6,700
Growth (2025-35)
+1.1%
Annual Openings
900
Education
Associate's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Decontaminate objects by cleaning with soap or solvents or by abrading with wire brushes, buffing wheels, or sandblasting machines.
2
Collect samples of air, water, gases, or solids to determine radioactivity levels of contamination.
3
Place radioactive waste, such as sweepings or broken sample bottles, into containers for shipping or disposal.
4
Instruct personnel in radiation safety procedures and demonstrate use of protective clothing and equipment.
5
Provide initial response to abnormal events or to alarms from radiation monitoring equipment.
6
Calibrate and maintain chemical instrumentation sensing elements and sampling system equipment, using calibration instruments and hand tools.
7
Determine intensities and 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.
