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A/KAI Kills What?

Task // O*NET task

Moderate exposure · 1 occupations · 0 evidence

Interpret data, reports, maps, photographs, or charts to predict long- or short-range weather conditions, using compute…

Interpret data, reports, maps, photographs, or charts to predict long- or short-range weather conditions, using computer models and knowledge of climate theory, physics, and mathematics.

Task automation exposure

58/100

Moderate exposure

Exposure basis

[v4/median] score 58 (raw 58 | A 58 / B 35 / C 85 | modality: other) AI can run and post‑process numerical weather models at scale, but nuanced interpretation of maps and local adjustments still rely on human expertise. (capable: Deep learning weather models (e.g., GraphCast) with NWP pipelines)

0 capabilities · 1 occupations

Basis

How exposure was assessed

[v4/median] score 58 (raw 58 | A 58 / B 35 / C 85 | modality: other) AI can run and post‑process numerical weather models at scale, but nuanced interpretation of maps and local adjustments still rely on human expertise. (capable: Deep learning weather models (e.g., GraphCast) with NWP pipelines)

Automation exposure58/100

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 Interpret data, reports, maps, photographs, or charts to predict long- or short-range weather conditions, using compute…, with task importance and exposure.
OccupationIndustryImportanceRoleOccupation AI exposure
Atmospheric and Space ScientistsCross-industry4.4/5core14

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.