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A/KAI Kills What?

Task // O*NET task

Very high exposure · 1 occupations · 0 evidence

Analyze aerial photographs to detect and interpret significant military, industrial, resource, or topographical data.

Analyze aerial photographs to detect and interpret significant military, industrial, resource, or topographical data.

Task automation exposure

85/100

Very high exposure

Exposure basis

[v4/median] score 85 (raw 85 | A 85 / B 85 / C 38 | modality: other) AI models can detect and classify features in aerial imagery with near-human accuracy, enabling professional-level analysis of military, industrial, resource, and topographical data. (capable: Vision‑Language Model (e.g., CLIP + ViT) specialized for remote sensing)

0 capabilities · 1 occupations

Basis

How exposure was assessed

[v4/median] score 85 (raw 85 | A 85 / B 85 / C 38 | modality: other) AI models can detect and classify features in aerial imagery with near-human accuracy, enabling professional-level analysis of military, industrial, resource, and topographical data. (capable: Vision‑Language Model (e.g., CLIP + ViT) specialized for remote sensing)

Automation exposure85/100

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 Analyze aerial photographs to detect and interpret significant military, industrial, resource, or topographical data., with task importance and exposure.
OccupationIndustryImportanceRoleOccupation AI exposure
Surveying and Mapping TechniciansCross-industry3.5/5core12

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.