Nuclear technicians

AI Overlap Index
43.4 / 100
Partially Exposed

Clear pressure on routine tasks. Composition of the role will shift within the decade.

SOC 19-4051 · Life Physical And Social Science

Bureau of Labor Statistics
Median pay
$104,240/yr
Hourly
$50/hr
Jobs 2024
6,000
Projected 2034
5,500
10-yr outlook
-8% · Decline
Employment change
-500
Entry education
Associate's degree
SOC code
19-4051

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
41.5
contribution to AOI: 24.9
Automation Potential weight 10%
50.0
contribution to AOI: 5.0
Market Pressure weight 15%
45.0
contribution to AOI: 6.8
Entry Barrier Erosion weight 15%
45.0
contribution to AOI: 6.8

By seniority

multiplicative adjustment from category curve

Entry
51.2
mult 1.18x
Mid
43.4
mult 1.00x
Senior
34.7
mult 0.80x

Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.

Task-level analysis

scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance

9 tasks · model: claude-sonnet-4-5-20250929
Supporting t9

Observe data from equipment sensors and gauges to ensure proper system functioning

AI systems excel at continuous monitoring of sensor streams, detecting anomalies, and flagging deviations from normal operating parameters. Modern ML can identify subtle patterns indicating equipment degradation, making this task highly automatable with human review of flagged issues.

BLS evidence: Nuclear technicians must observe data from equipment sensors and gauges to ensure that systems are functioning properly and that radiation levels are controlled.

72
automation
Core t3

Measure the levels and types of radiation produced by nuclear systems

AI excels at analyzing sensor data streams and categorizing radiation types from digital inputs. However, the physical setup of measurement equipment and validation in nuclear environments still requires human oversight, making this a strong AI-assist scenario rather than full automation.

BLS evidence: Nuclear technicians measure the levels and types of radiation produced by nuclear systems and make calculations to measure levels of radiation and radioactive contamination.

55
automation
Important t8

Assist scientists in conducting research to develop new nuclear technologies

AI can accelerate data analysis, run simulations, and identify patterns in research data. However, experimental design, physical setup of nuclear research equipment, and interpretation of novel findings in the context of nuclear physics require substantial scientist-technician collaboration that AI augments rather than replaces.

BLS evidence: Technicians who work in laboratories help nuclear physicists, nuclear engineers, and other scientists conduct research to develop new technologies.

52
automation
Important t7

Monitor disposal, recycling, and storage of nuclear waste

AI can track waste inventories, flag compliance issues, and optimize storage logistics from digital records. However, physical monitoring of waste containers, verification of storage conditions, and coordination of disposal operations require on-site human presence and judgment about safety protocols.

BLS evidence: Technicians who work in waste management and treatment facilities monitor the disposal, recycling, and storage of nuclear waste.

48
automation
Important t6

Instruct personnel on radiation safety procedures and warn of hazardous conditions

AI can generate training materials and identify hazardous conditions from data, but delivering safety instruction requires human credibility and adapting to trainee questions in real-time. Warning of hazards involves judgment about communication timing and severity that benefits from AI support but needs human delivery.

BLS evidence: Nuclear technicians instruct personnel on radiation safety procedures and warn them of hazardous conditions, and may recommend safety procedures for facility personnel.

42
automation
Core t2

Operate and maintain radiation monitoring equipment

AI can process radiation monitoring data and detect patterns, but operating the physical equipment requires presence in nuclear facilities and performing maintenance involves manual tasks in radiation-controlled areas that current robotics cannot reliably handle.

BLS evidence: Nuclear technicians operate and maintain radiation monitoring equipment and ensure safety by setting up, calibrating, maintaining, and operating radiation detection instruments.

38
automation
Core t1

Monitor, test, and maintain equipment and systems used in nuclear power generation

While AI can monitor sensor data and flag anomalies, the physical maintenance and hands-on testing of nuclear equipment requires manual dexterity in controlled but varied environments, plus real-time judgment about safety-critical systems that organizations will not delegate to AI alone.

BLS evidence: Nuclear technicians typically monitor, test, and maintain equipment and systems used in nuclear power generation or laboratories, and technicians in nuclear power plants ensure that reactors and other equipment operate safely and efficiently.

32
automation
Important t4

Collect samples of air, water, and soil and test for radioactive contamination

Sample collection requires physical presence in diverse outdoor and facility locations, manual handling of collection equipment, and navigation of unpredictable environments. While AI can analyze test results, the collection phase is heavily manual and site-specific.

BLS evidence: Nuclear technicians collect samples of air, water, and soil and test for radioactive contamination as part of monitoring the surrounding environment.

28
automation
Important t5

Respond to incidents of radiological contamination and issue corrective action

Radiological incident response demands real-time physical presence, rapid assessment of evolving safety conditions, coordination with emergency personnel, and implementation of corrective actions in high-stakes environments where human judgment and accountability are non-negotiable.

BLS evidence: Nuclear technicians respond to incidents of radiological contamination and issue corrective action, and may recommend radioactive decontamination plans.

22
automation

Task heatmap

automation score by task, sorted by weighted contribution

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External signals and sources

category-level priors and BLS fields that feed the four non-task signals

Automation Potential
50
karpathy 5/10
  • Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
Market Pressure
45
outlook: Decline
  • BLS projected outlook: Decline (-8%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
45
ed: Associate's degree
  • BLS typical entry-level education: Associate's degree
  • Credential trend signal (annual refresh)

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