Develop data models describing data elements and how they are used, following procedures and using pen, template, or co…

Develop data models describing data elements and how they are used, following procedures and using pen, template, or computer software.

Task automation exposure

60/100

Moderate exposure

Exposure basis

[v4/median] score 60 (raw 60 | A 60 / B 75 / C 40 | modality: other) AI can generate competent logical/physical data models from specifications using modern AI‑enhanced modeling tools, but human expertise is still needed for nuanced business rules and optimal design. (capable: AI‑enhanced data modeling assistants (e.g., GPT‑4 integrated with ER/Studio, PowerDesigner, or similar tools))

0 capabilities · 1 occupations

Basis

How exposure was assessed

Automation exposure60/100

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 Develop data models describing data elements and how they are used, following procedures and using pen, template, or co…, with task importance and exposure.
Occupation	Industry	Importance	Role	Occupation AI exposure
Database Administrators	Software & technology	3.1/5	core	13

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.