As of August 2026, Non-Destructive Testing Specialists has an AI-exposure score of 65/100 (High exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Non-Destructive Testing Specialists

65/100
High exposure
LowModerateElevatedHighVery High

More exposed than 80% of the roles we track. Median pay ~US$78,350. About 5,700 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

Will AI replace Non-Destructive Testing Specialists?

No exposure score can predict whether AI will replace this role. The 65/100 score means our current model estimates high task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role's High score and automation-heavy task mix point in the same direction as the study's highest-exposure automation cohort. The measures are not identical, so the study result is context rather than a direct forecast for this role.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

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

Common titles
NDE Technician (Non-Destructive Evaluation Technician)NDT Specialist (Non-Destructive Testing Specialist)NDT Technical Specialist (Non-Destructive Testing Technical Specialist)NDT Technician (Non-Destructive Testing Technician)Industrial RadiographerNDT Coordinator (Non-Destructive Testing Coordinator)
O*NET job-zone preparation
Job Zone 2 · Job Zone 1-2: Very Little to Some Preparation Needed Usually requires a high school diploma or GED, though some occupations may not. Some occupations may need little or no previous experience; others require several months to a year of experience.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Reading ComprehensionCritical ThinkingMonitoringActive LearningWritingMathematics
Work context
Decision latitudeFrequent contact with othersIndoor controlled settingConsequence of errorRepeating tasks

Source: O*NET 29.1 exact occupation - Non-Destructive Testing Specialists, SOC 17-3029.01. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Non-Destructive Testing Specialists tasks, by AI exposure

Automatable
  • Make radiographic images to detect flaws in objects while leaving objects intact.
  • Produce images of objects on film, using radiographic techniques.
  • Map the presence of imperfections within objects, using sonic measurements.
11 more automatable tasks locked in the report.
Augmentable
  • Develop or use new non-destructive testing methods, such as acoustic emission testing, leak testing, and thermal or infrared testing.
  • Supervise or direct the work of non-destructive testing trainees or staff.
Durable

No durable tasks identified for this role - its individually-assessed tasks split 88% automatable / 13% augmentable.

We analyzed all 16 Non-Destructive Testing Specialists tasks - 14 automatable and 2 augmentable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.

Aerospace Engineering and Operations Technologists and Technicians
80% skills overlap; 9 points lower - lower exposure; Elevated band; ~US$82,890
View path
56
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

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

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

AI was the most-cited reason for U.S. layoffs through mid-2026 - the workers who adapt earliest fare best. - Challenger, Gray & Christmas, 2026The upside: Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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Non-Destructive Testing Specialists - median pay by US state (BLS OEWS, USD)

California: US$80,480Texas: US$73,860Florida: US$70,500New York: US$65,530

Median annual wage, in USD. US national: US$78,350. More states are being added.

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