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Federal data × LLM scoring

AI Career Stats

Stockers and Order Fillers: daily tasks & AI impact

This page breaks Stockers and Order Fillers into the top 15 daily O*NET tasks and scores each for Generative AI automation probability. Those task scores roll up to an overall vulnerability index of 27/100 (Moderate automation risk). Struck-through rows are ≥80% automatable; highlighted safer rows are under 30% or primarily physical.

0 highly automatable 0 safer / physical Back to risk score Alternative careers

High-automation exposure

No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.

Durable human work

This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.

Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.

Task Importance AI probability Nature
Complete order receipts. Core 4.69
Answer customers' questions about merchandise and advise customers on merchandise selection. Core 4.56
Issue or distribute materials, products, parts, and supplies to customers or coworkers, based on information from incoming requisitions. Core 4.39
Keep records of out-going orders. Core 4.23
Stock shelves, racks, cases, bins, and tables with new or transferred merchandise. Core 4.21
Operate equipment such as forklifts. Core 4.17
Stamp, attach, or change price tags on merchandise, referring to price list. Core 4.14
Obtain merchandise from bins or shelves. Core 4.1
Receive and count stock items, and record data manually or on computer. Core 4.05
Read orders to ascertain catalog numbers, sizes, colors, and quantities of merchandise. Core 4.04
Receive, unload, open, unpack, or issue sales floor merchandise. Core 4.01
Pack customer purchases in bags or cartons. Core 3.93
Store items in an orderly and accessible manner in warehouses, tool rooms, supply rooms, or other areas. Core 3.92
Mark stock items, using identification tags, stamps, electric marking tools, or other labeling equipment. Core 3.87
Pack and unpack items to be stocked on shelves in stockrooms, warehouses, or storage yards. Core 3.86

What remains human

No tasks currently fall under the safe threshold for this occupation.

FAQ

Which Stockers and Order Fillers tasks are most exposed to AI?

No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.

Which Stockers and Order Fillers tasks are safest from Generative AI?

This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.

How should I read the Stockers and Order Fillers task table?

Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.

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