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A/KAI Kills What?

Task // O*NET task

Very low exposure · 1 occupations · 0 evidence

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

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

Task automation exposure

20/100

Very low exposure

Exposure basis

[v4/median/cap20] score 20 (raw 45 | A 75 / B 45 / C 45 | modality: physical_primary) Commercial phased‑array ultrasonic scanners with AI‑driven defect detection can automatically acquire and map flaws with professional accuracy in most cases, though expert review is still needed for complex or ambiguous results. (capable: AI‑enhanced phased‑array ultrasonic inspection system (e.g., Olympus OmniScan with AI module))

0 capabilities · 1 occupations

Basis

How exposure was assessed

[v4/median/cap20] score 20 (raw 45 | A 75 / B 45 / C 45 | modality: physical_primary) Commercial phased‑array ultrasonic scanners with AI‑driven defect detection can automatically acquire and map flaws with professional accuracy in most cases, though expert review is still needed for complex or ambiguous results. (capable: AI‑enhanced phased‑array ultrasonic inspection system (e.g., Olympus OmniScan with AI module))

Automation exposure20/100

How much of this task's output current AI can produce or substantially assist.

Strongest applicable capability0/100

Best current model strength on any capability this task requires.

This is an assessment of technical feasibility plus published evidence - not a forecast. Even fully automatable tasks are often not automated, because of cost, verification, liability, regulation or the fact that the task is bundled with other work.

Occupations

Occupations that perform this task (1)

Importance is the O*NET-style weight of this task within each occupation. The same task can be highly exposed but peripheral to one job and core to another.

Occupations performing Map the presence of imperfections within objects, using sonic measurements., with task importance and exposure.
OccupationIndustryImportanceRoleOccupation AI exposure
Non-Destructive Testing SpecialistsCross-industry4.3/5core7

Evidence

Evidence (0)

No evidence item is mapped to this specific task yet. The exposure figure above rests on the v1 editorial baseline and on the capability assessment, and should be treated as low-confidence. Pages with fewer than 0 evidence items are excluded from sitemaps.