AI Automation Index

Will AI Replace Non-Destructive Testing Specialists?

Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Non-Destructive Testing Specialists. Run the upskilling simulator.

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AI Vulnerability

41% risk score

Median Salary

$78,350 / year

Growth Demand

Medium

Constituent Task Mix

We parsed O*NET's 16 constituent tasks for this occupation and classified them by AI threat risk.

High Automation Risk (Routine Tasks) 0%
Medium Automation Risk (Cognitive/Technical) 81%
Low Automation Risk (Strategy/Leadership) 19%

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Automate your routine tasks and design your day around strategic advisory to future-proof this score.

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constituent Tasks

Interpret the results of all methods of non-destructive testing (NDT), such as acoustic emission, electromagnetic, leak, liquid penetrant, magnetic particle, neutron radiographic, radiographic, thermal or infrared, ultrasonic, vibration analysis, and visual testing.

Semi-structured task combining routine and non-routine responsibilities.

Interpret or evaluate test results in accordance with applicable codes, standards, specifications, or procedures.

Semi-structured cognitive task involving analysis, inspection, or monitoring.

Identify defects in solid materials, using ultrasonic testing techniques.

Semi-structured task combining routine and non-routine responsibilities.

Make radiographic images to detect flaws in objects while leaving objects intact.

Semi-structured task combining routine and non-routine responsibilities.

Prepare reports on non-destructive testing results.

Semi-structured task combining routine and non-routine responsibilities.

Select, calibrate, or operate equipment used in the non-destructive testing of products or materials.

Semi-structured task combining routine and non-routine responsibilities.

Visually examine materials, structures, or components for signs of corrosion, metal fatigue, cracks, or other flaws, using tools and equipment such as endoscopes, closed-circuit television systems, and fiber optics.

Semi-structured task combining routine and non-routine responsibilities.

Examine structures or vehicles such as aircraft, trains, nuclear reactors, bridges, dams, and pipelines, using non-destructive testing techniques.

Semi-structured task combining routine and non-routine responsibilities.

Document non-destructive testing methods, processes, or results.

Semi-structured task combining routine and non-routine responsibilities.

Produce images of objects on film, using radiographic techniques.

Semi-structured task combining routine and non-routine responsibilities.

Supervise or direct the work of non-destructive testing trainees or staff.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Conduct liquid penetrant tests to locate surface cracks by coating objects with fluorescent dyes, cleaning excess penetrant, and applying developer.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Map the presence of imperfections within objects, using sonic measurements.

Semi-structured task combining routine and non-routine responsibilities.

Develop or use new non-destructive testing methods, such as acoustic emission testing, leak testing, and thermal or infrared testing.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Identify defects in concrete or other building materials, using thermal or infrared testing.

Semi-structured task combining routine and non-routine responsibilities.

Evaluate material properties, using radio astronomy, voltage and amperage measurement, or rheometric flow measurement.

Semi-structured cognitive task involving analysis, inspection, or monitoring.

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O*NET Methodology

O*NET Data Source

This page dynamically extracts data structures sponsored by the U.S. Department of Labor. Our AI classification applies cognitive task automation risk models to individual tasks.

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