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A/KAI Kills What?

Task // O*NET task

Moderate exposure · 1 occupations · 0 evidence

Test programs or databases, correct errors, and make necessary modifications.

Test programs or databases, correct errors, and make necessary modifications.

Task automation exposure

45/100

Moderate exposure

Exposure basis

[v4/median] score 45 (raw 45 | A 45 / B 35 / C 45 | modality: other) AI testing frameworks and code assistants can automate many error detection and correction steps, but complex logical, performance, and security issues still require human expertise. (capable: AI code assistants (e.g., GitHub Copilot, OpenAI Codex))

0 capabilities · 1 occupations

Basis

How exposure was assessed

[v4/median] score 45 (raw 45 | A 45 / B 35 / C 45 | modality: other) AI testing frameworks and code assistants can automate many error detection and correction steps, but complex logical, performance, and security issues still require human expertise. (capable: AI code assistants (e.g., GitHub Copilot, OpenAI Codex))

Automation exposure45/100

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 Test programs or databases, correct errors, and make necessary modifications., with task importance and exposure.
OccupationIndustryImportanceRoleOccupation AI exposure
Database AdministratorsSoftware & technology3.7/5core13

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.