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A/KAI Kills What?

Task // O*NET task

Very low exposure · 1 occupations · 0 evidence

Apply sampling techniques, or use complete enumeration bases to determine and define groups to be surveyed.

Apply sampling techniques, or use complete enumeration bases to determine and define groups to be surveyed.

Task automation exposure

15/100

Very low exposure

Exposure basis

[v4/median] score 15 (raw 15 | A 85 / B 15 / C 15 | modality: other) AI and statistical software can efficiently execute complex sampling algorithms, stratification, and cluster definitions based on provided data, though the initial strategic judgment of which variables to use for stratification often requires human domain expertise. (capable: Python (Pandas, Scikit-learn), R, SAS)

0 capabilities · 1 occupations

Basis

How exposure was assessed

[v4/median] score 15 (raw 15 | A 85 / B 15 / C 15 | modality: other) AI and statistical software can efficiently execute complex sampling algorithms, stratification, and cluster definitions based on provided data, though the initial strategic judgment of which variables to use for stratification often requires human domain expertise. (capable: Python (Pandas, Scikit-learn), R, SAS)

Automation exposure15/100

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 Apply sampling techniques, or use complete enumeration bases to determine and define groups to be surveyed., with task importance and exposure.
OccupationIndustryImportanceRoleOccupation AI exposure
StatisticiansCross-industry3.8/5core14

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.