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Engineering & Architecture · Updated Aug 2026

Non-Destructive Testing Specialists

Test the safety of structures, vehicles, or vessels using x-ray, ultrasound, fiber optic or related equipment.

JVS 2.0.0-phase4b
AI Exposure
61/100
High

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
49/100
Moderate

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence83/100
Task coverage87%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Interpret or evaluate test results in accordance with applicable codes, standards, specifications, or procedures.High
70
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.High
70
Identify defects in solid materials, using ultrasonic testing techniques.High
71
Document non-destructive testing methods, processes, or results.High
71
Produce images of objects on film, using radiographic techniques.High
70
Select, calibrate, or operate equipment used in the non-destructive testing of products or materials.High
66
Supervise or direct the work of non-destructive testing trainees or staff.High
61
Make radiographic images to detect flaws in objects while leaving objects intact.High
55
Map the presence of imperfections within objects, using sonic measurements.High
70
Evaluate material properties, using radio astronomy, voltage and amperage measurement, or rheometric flow measurement.High
70
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.High
52
Examine structures or vehicles such as aircraft, trains, nuclear reactors, bridges, dams, and pipelines, using non-destructive testing techniques.High
31
Conduct liquid penetrant tests to locate surface cracks by coating objects with fluorescent dyes, cleaning excess penetrant, and applying developer.High
37
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Identify defects in solid materials, using ultrasonic testing techniques.71
  2. Document non-destructive testing methods, processes, or results.71
  3. Interpret or evaluate test results in accordance with applicable codes, standards, specifications, or procedures.70
  4. 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.70
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Examine structures or vehicles such as aircraft, trains, nuclear reactors, bridges, dams, and pipelines, using non-destructive testing techniques.01
  2. Conduct liquid penetrant tests to locate surface cracks by coating objects with fluorescent dyes, cleaning excess penetrant, and applying developer.02
  3. Interpret or evaluate test results in accordance with applicable codes, standards, specifications, or procedures.03
  4. 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.04
  5. Identify defects in solid materials, using ultrasonic testing techniques.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency73
Physical dependency57
Adoption pressure65
Labour-market resilience67
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence83/100
CalculatedAug 21, 2026
Read methodology →