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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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Last Update: 5/19/2026
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 Monitoring Technicians are somewhat less resilient to AI impacts than most occupations, according to our analysis of 4 sources.
Nuclear Monitoring Technicians land in the "Somewhat Resilient" category because AI is genuinely changing how this job works, even if it isn't replacing the people doing it. Tools like real-time anomaly detectors and AI assistants are taking over a lot of the data-watching and pattern-spotting tasks that technicians used to handle manually, which means the job is shifting toward interpreting AI outputs and responding to what the technology flags.
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 somewhat resilient
Nuclear Monitoring Technicians land in the "Somewhat Resilient" category because AI is genuinely changing how this job works, even if it isn't replacing the people doing it. Tools like real-time anomaly detectors and AI assistants are taking over a lot of the data-watching and pattern-spotting tasks that technicians used to handle manually, which means the job is shifting toward interpreting AI outputs and responding to what the technology flags.
Read full analysisAnalysis of Current AI Resilience
Nuclear Monitor Tech
Updated Quarterly • Last Update: 5/14/2026

Good news first: in this field, AI is mostly being used to help radiation technicians—not replace them. Nuclear plants already generate huge streams of sensor data, so they're a natural fit for AI tools that watch for anomalies. The OECD Nuclear Energy Agency recently ran an international "RegLab" exercise on exactly this, and the American Nuclear Society reported that participants explored an AI application designed to detect anomalies in real-time operational data, recognizing AI's potential for improving safety margins, early detection of deviations, and reducing operational costs.
At Oak Ridge National Laboratory [1], researchers are using machine learning to refine biokinetic models that estimate radiation dose, helping technicians set safer exposure limits for workers. A Texas A&M team also unveiled AROMA-GPT [2], a generative AI assistant that monitors reactors through a digital twin—explicitly designed as a "human-in-the-loop" tool rather than an autonomous controller. And the U.S. Army has begun piloting RADIANT [3], an AI assistant that helps inspectors interpret complex radiation data faster.
Tasks like decontamination scrubbing and physically responding to alarms still require trained humans.

Adoption will likely be steady but cautious. On the "speed up" side, the BLS projects nuclear technician employment to decline 8% from 2024 to 2034 [4], even as a nuclear renaissance creates a serious workforce shortage [5]—so plants have strong incentives to use AI to stretch existing staff. On the "slow down" side, safety culture rules the industry.
The OECD report highlighted the need to address challenges with AI explainability, ensure the maintenance of defense-in-depth measures, and support robust data assurance. The Nuclear Regulatory Commission [6] is still building its review framework for AI. So if you're considering this career, the human judgment, hands-on response skills, and regulatory know-how you bring will remain very valuable—AI will be your high-tech sidekick, not your replacement.

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They ensure nuclear plants stay safe by checking equipment and measuring radiation levels to prevent leaks and protect the environment and people.
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
Decontaminate objects by cleaning with soap or solvents or by abrading with wire brushes, buffing wheels, or sandblasting machines.
Set up equipment that automatically detects area radiation deviations and test detection equipment to ensure its accuracy.
Provide initial response to abnormal events or to alarms from radiation monitoring equipment.
Determine intensities and types of radiation in work areas, equipment, or materials, using radiation detectors or other instruments.
Calibrate and maintain chemical instrumentation sensing elements and sampling system equipment, using calibration instruments and hand tools.
Instruct personnel in radiation safety procedures and demonstrate use of protective clothing and equipment.
Confer with scientists directing projects to determine significant events to monitor during tests.
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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