Will AI replace Nuclear Technicians?
Most of the work in Nuclear Technicians still leans on things AI struggles with — research rates its theoretical AI reach at only ~14%, and real-world use lower still.
O*NET-SOC 19-4051
How your 21 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~14%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~14%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 21 tasks, ratedBased on real task-level AI scores — click to collapse
- Calculate safe radiation exposure times for personnel using plant contamination readings and prescribed safe levels of radiation.
- Prepare reports describing contamination tests, material or equipment decontaminated, or methods used in decontamination processes.
- Monitor nuclear reactor equipment performance to identify operational inefficiencies, hazards, or needs for maintenance or repair.
- Brief workers on radiation levels in work areas.
- Determine or recommend radioactive decontamination procedures, according to the size and nature of equipment and the degree of contamination.
- Follow nuclear equipment operational policies and procedures that ensure environmental safety.
- Conduct surveillance testing to determine safety of nuclear equipment.
- Test plant equipment to ensure it is operating properly.
- Apply safety tags to equipment needing maintenance.
- Follow policies and procedures for radiation workers to ensure personnel safety.
- Modify, devise, or maintain nuclear equipment used in operations.
- Monitor personnel to determine the amounts and intensities of radiation exposure.
- Inform supervisors when individual exposures or area radiation levels approach maximum permissible limits.
- 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.
- Instruct personnel in radiation safety procedures and demonstrate use of protective clothing and equipment.
- Collect samples of air, water, gases, or solids to determine radioactivity levels of contamination.
- Analyze samples, such as air or water samples, for contaminants or other elements.
- Set up equipment that automatically detects area radiation deviations and test detection equipment to ensure its accuracy.
- Place radioactive waste, such as sweepings or broken sample bottles, into containers for shipping or disposal.
- Decontaminate objects by cleaning with soap or solvents or by abrading with wire brushes, buffing wheels, or sandblasting machines.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.