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

“Document non-destructive testing methods, processes, or results.” is a core task performed by Non-Destructive Testing Specialists. Among the occupation's 16 rated tasks, workers place it 8th by importance (#9 most important). About 100% of workers say it is relevant to their job.

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Document technical designs, procedures, or activities. in Documenting/Recording Information

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T3.

How AI is actually used on this kind of task

The Anthropic Economic Index observes how people actually use AI on tasks like this one across millions of real conversations.

• 0.092% share of AI-use records mapped to this task
• 62% of that use is work-related
• Most common interaction: directive
• Average autonomy of the AI: 3.3 (1–5; higher = more autonomous)
• 87% of interactions still needed a human in the loop

Observed AI use describes people choosing to use AI as a tool on this kind of task today. It is augmentation and assistance, not a measure of jobs replaced.

Working with AI vs. handing it off

Of the AI conversations mapped to this task, the split between people working alongside AI and people delegating the task to it.

How people interact with AI on this task

Other tasks in this occupation

• Interpret or evaluate test results in accordance with applicable codes, standards, specifications, or procedures. · importance 4.8
• 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. · importance 4.8
• Identify defects in solid materials, using ultrasonic testing techniques. · importance 4.8
• Make radiographic images to detect flaws in objects while leaving objects intact. · importance 4.7
• Prepare reports on non-destructive testing results. · importance 4.7
• Select, calibrate, or operate equipment used in the non-destructive testing of products or materials. · importance 4.6
• 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. · importance 4.6
• Examine structures or vehicles such as aircraft, trains, nuclear reactors, bridges, dams, and pipelines, using non-destructive testing techniques. · importance 4.6
• Produce images of objects on film, using radiographic techniques. · importance 4.5
• Supervise or direct the work of non-destructive testing trainees or staff. · importance 4.5
• Evaluate material properties, using radio astronomy, voltage and amperage measurement, or rheometric flow measurement. · importance 4.4
• Conduct liquid penetrant tests to locate surface cracks by coating objects with fluorescent dyes, cleaning excess penetrant, and applying developer. · importance 4.4
• Map the presence of imperfections within objects, using sonic measurements. · importance 4.3
• Develop or use new non-destructive testing methods, such as acoustic emission testing, leak testing, and thermal or infrared testing. · importance 3.8

See all tasks on the Non-Destructive Testing Specialists page.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-task-16616,
  title  = {Document non-destructive testing methods, processes, or results.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-16616}
}