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A/KAI Kills What?

Task // O*NET task

High exposure · 1 occupations · 0 evidence

Classify goods according to tariff coding system.

Classify goods according to tariff coding system.

Task automation exposure

75/100

High exposure

Exposure basis

[v4/median] score 75 (raw 75 | A 75 / B 85 / C 35 | modality: other) AI-driven trade compliance platforms can automatically parse product descriptions and suggest HS tariff codes with high accuracy, and are widely used across many firms, though occasional human review is still common. (capable: Large language model (e.g., GPT-4) integrated with trade classification databases)

0 capabilities · 1 occupations

Basis

How exposure was assessed

[v4/median] score 75 (raw 75 | A 75 / B 85 / C 35 | modality: other) AI-driven trade compliance platforms can automatically parse product descriptions and suggest HS tariff codes with high accuracy, and are widely used across many firms, though occasional human review is still common. (capable: Large language model (e.g., GPT-4) integrated with trade classification databases)

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 Classify goods according to tariff coding system., with task importance and exposure.
OccupationIndustryImportanceRoleOccupation AI exposure
Customs BrokersCross-industry4.8/5core15

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.