Perform computations and apply methods of numerical analysis to data.

Task automation exposure

90/100

Very high exposure

Exposure basis

[v4/median] score 90 (raw 90 | A 95 / B 90 / C 90 | modality: other) Modern scientific computing libraries (NumPy, SciPy, MATLAB) and AI-assisted coding tools can execute numerical analysis algorithms and process data with high precision and speed, far exceeding human manual computation capabilities. (capable: Scientific computing libraries (NumPy/SciPy/MATLAB) + LLMs for code generation)

0 capabilities · 1 occupations

Basis

How exposure was assessed

Automation exposure90/100

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 Perform computations and apply methods of numerical analysis to data., with task importance and exposure.
Occupation	Industry	Importance	Role	Occupation AI exposure
Mathematicians	Cross-industry	3.9/5	core	-

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.