Select or develop mineral location, extraction, and production methods, based on factors such as safety, cost, and depo…

Select or develop mineral location, extraction, and production methods, based on factors such as safety, cost, and deposit characteristics.

Task automation exposure

15/100

Very low exposure

Exposure basis

[v4/median] score 15 (raw 15 | A 35 / B 15 / C 15 | modality: other) AI‑enhanced mine planning software can model deposits and optimize extraction methods using safety, cost, and geological data, but professional engineers must still interpret, validate, and tailor the solutions. (capable: GEOVIA Surpac (AI‑enhanced mine design and planning software))

0 capabilities · 1 occupations

Basis

How exposure was assessed

Automation exposure15/100

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 Select or develop mineral location, extraction, and production methods, based on factors such as safety, cost, and depo…, with task importance and exposure.
Occupation	Industry	Importance	Role	Occupation AI exposure
Mining and Geological Engineers, Including Mining Safety Engineers	Cross-industry	4/5	core	12

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.