Evolving

Last Update: 3/13/2026

Your role’s AI Resilience Score is

46.8%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Nuclear Technicians

They assist scientists by monitoring and maintaining equipment used in nuclear energy, ensuring everything runs safely and efficiently.

This role is evolving

The career of a nuclear technician is labeled as "Evolving" because AI is being integrated to assist with tasks like data analysis and monitoring, but human skills remain crucial for safety and decision-making. While AI tools can help make work more efficient and detect issues faster, technicians still need to oversee processes and ensure compliance.

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This role is evolving

The career of a nuclear technician is labeled as "Evolving" because AI is being integrated to assist with tasks like data analysis and monitoring, but human skills remain crucial for safety and decision-making. While AI tools can help make work more efficient and detect issues faster, technicians still need to oversee processes and ensure compliance.

Read full analysis

Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

Learn about this score
Evolving iconEvolving

68.8%

68.8%

Microsoft's Working with AI

AI Applicability

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Evolving iconEvolving

48.0%

48.0%

Will Robots Take My Job

Automation Resilience

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Evolving iconEvolving

35.3%

35.3%

Althoff & Reichardt

Economic Growth

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Evolving iconEvolving

35.2%

35.2%

Low Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

-7.7%

Growth Percentile:

7.1%

Annual Openings:

700

Annual Openings Pct:

7.5%

Analysis of Current AI Resilience

Nuclear Technicians

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

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.

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AI Adoption

AI in the real world

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].

Sources

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More Career Info

Career: Nuclear Technicians

Employment & Wage Data

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

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

80% Resilience

Identify and implement appropriate decontamination procedures, based on equipment and the size, nature, and type of contamination.

2

75% ResilienceSupplemental

Warn maintenance workers of radiation hazards and direct workers to vacate hazardous areas.

3

70% ResilienceSupplemental

Modify, devise, and maintain equipment used in operations.

4

65% Resilience

Follow nuclear equipment operational policies and procedures that ensure environmental safety.

5

60% ResilienceCore Task

Follow policies and procedures for radiation workers to ensure personnel safety.

6

60% Resilience

Monitor nuclear reactor equipment performance to identify operational inefficiencies, hazards, or needs for maintenance or repair.

7

55% ResilienceSupplemental

Perform testing, maintenance, repair, or upgrading of accelerator systems.

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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