Will AI replace Nuclear Monitoring Technicians?

Some of your tasks will be automated. People who use AI will have the edge.

Task exposure to today's AI

30/100

Moderate exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Nuclear Monitoring Technicians?

Not entirely. Today's AI tools can take on about 30% of the typical work in this occupation, mostly: prepare reports describing contamination tests, material or equipment decontaminated, or methods used in decontamination processes. The parts that stay human include: Determine intensities and types of radiation in work areas, equipment, or materials, using radiation detectors or other instruments.; Monitor personnel to determine the amounts and intensities of radiation exposure.; Collect samples of air, water, gases, or solids to determine radioactivity levels of contamination..

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable

Prepare reports describing contamination tests, material or equipment decontaminated, or methods used in decontamination processes. 78%

Brief workers on radiation levels in work areas. 42%

Analyze samples, such as air or water samples, for contaminants or other elements. 20%

Monitor personnel to determine the amounts and intensities of radiation exposure. 15%

Determine intensities and types of radiation in work areas, equipment, or materials, using radiation detectors or other instruments. 12%

Collect samples of air, water, gases, or solids to determine radioactivity levels of contamination. 10%

+ 10 more tasks (42% of the week) in the full test.

Your human edge

Determine intensities and types of radiation in work areas, equipment, or materials, using radiation detectors or other instruments.
Monitor personnel to determine the amounts and intensities of radiation exposure.
Collect samples of air, water, gases, or solids to determine radioactivity levels of contamination.

AI tools to try

ChatGPT / Claude for literature and writingAI research tools (e.g. Elicit, Consensus, Semantic Scholar)Copilot for data analysis code (Python, R)

Related roles

A 3-phase AI learning plan

Phase 1

Faster literature and writing

Literature search and summaries with AI, always checked against the papers.
Drafts of methods, reports and grant text.
Reference management and formatting.

Project

Use AI to draft a standard contamination survey report template plus a summary of 10 current ALARA/radiation-protection papers, verifying every citation against the source.

Phase 2

AI for data analysis

Analysis code in Python or R written with AI help.
Visualisation and statistics explained step by step.
Reproducibility: version code and prompts.

Project

Build an AI-assisted Python or R script that cleans a month of dosimetry and survey-meter readings and plots exposure trends, versioned in Git with prompts logged.

Phase 3

AI as a research method

Classification, extraction or modelling with AI on your data.
Validate against human labels or ground truth.
Ethics, data protection and disclosure of AI use.

Project

Train and validate an AI model that flags anomalous air or water sample activity levels against 200 technician-classified results, reporting accuracy, false negatives and AI-use disclosure.

Take the free 11-question test