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A/KAI Kills What?

Task // O*NET task

Low exposure · 1 occupations · 0 evidence

Plan data collection methods for specific projects, and determine the types and sizes of sample groups to be used.

Plan data collection methods for specific projects, and determine the types and sizes of sample groups to be used.

Task automation exposure

35/100

Low exposure

Exposure basis

[v4/median] score 35 (raw 35 | A 15 / B 35 / C 35 | modality: other) While AI can assist with power analysis and suggest standard sampling frameworks, planning data collection methods requires deep contextual understanding of the specific research question, logistical constraints, and ethical considerations that currently demand human-led strategi (capable: None - human-led)

0 capabilities · 1 occupations

Basis

How exposure was assessed

[v4/median] score 35 (raw 35 | A 15 / B 35 / C 35 | modality: other) While AI can assist with power analysis and suggest standard sampling frameworks, planning data collection methods requires deep contextual understanding of the specific research question, logistical constraints, and ethical considerations that currently demand human-led strategi (capable: None - human-led)

Automation exposure35/100

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 Plan data collection methods for specific projects, and determine the types and sizes of sample groups to be used., 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.