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A/KAI Kills What?

Task // O*NET task

High exposure · 1 occupations · 0 evidence

Compile water resource data, using geographic information systems (GIS) or global position systems (GPS) software.

Compile water resource data, using geographic information systems (GIS) or global position systems (GPS) software.

Task automation exposure

75/100

High exposure

Exposure basis

[v4/median] score 75 (raw 75 | A 75 / B 85 / C 55 | modality: other) AI‑enhanced GIS tools can automatically gather, clean, and integrate water resource datasets at professional quality, though expert oversight is still needed for source selection and interpretation. (capable: GIS automation platforms (e.g., ArcGIS ModelBuilder, QGIS with Python scripts, Google Earth Engine))

0 capabilities · 1 occupations

Basis

How exposure was assessed

[v4/median] score 75 (raw 75 | A 75 / B 85 / C 55 | modality: other) AI‑enhanced GIS tools can automatically gather, clean, and integrate water resource datasets at professional quality, though expert oversight is still needed for source selection and interpretation. (capable: GIS automation platforms (e.g., ArcGIS ModelBuilder, QGIS with Python scripts, Google Earth Engine))

Automation exposure75/100

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 Compile water resource data, using geographic information systems (GIS) or global position systems (GPS) software., with task importance and exposure.
OccupationIndustryImportanceRoleOccupation AI exposure
Water Resource SpecialistsCross-industry3.4/5core11

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.