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A/KAI Kills What?

Task // O*NET task

High exposure · 1 occupations · 0 evidence

Report project plans, progress, and results.

Report project plans, progress, and results.

Task automation exposure

78/100

High exposure

Exposure basis

[v4/median] score 78 (raw 78 | A 78 / B 85 / C 55 | modality: other) Current AI can ingest logistics data, generate structured narratives and visualizations for project plans, progress, and results at professional quality, though occasional contextual nuance may still need human oversight. (capable: OpenAI GPT-4 (LLM-based natural language generation integrated with BI platforms))

0 capabilities · 1 occupations

Basis

How exposure was assessed

[v4/median] score 78 (raw 78 | A 78 / B 85 / C 55 | modality: other) Current AI can ingest logistics data, generate structured narratives and visualizations for project plans, progress, and results at professional quality, though occasional contextual nuance may still need human oversight. (capable: OpenAI GPT-4 (LLM-based natural language generation integrated with BI platforms))

Automation exposure78/100

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 Report project plans, progress, and results., with task importance and exposure.
OccupationIndustryImportanceRoleOccupation AI exposure
LogisticiansCross-industry3.9/5core15

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.