COOKEDthe AI job-risk monitorSYSTEM LIVE
◀ scan anotherLABORERS AND FREIGHT, STOCK, AND MATERIAL MOVERS, HANDshare ⧉
EXPOSURE TO AI
4%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The last desk the machine reaches. Breathe.

4% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. Certified hard to automate. Today’s AI barely touches the core of this one.

WHAT AI CAN ALREADY DO
  • Record numbers of units handled or moved, using daily production sheets or work tickets
WHAT IT STILL CAN’T
  • Move freight, stock, or other materials to and from storage or production areas, loading docks, delivery vehicles, ships, or containers, by hand or using trucks, tractors, or other equipment
  • Sort cargo before loading and unloading
  • Read work orders or receive oral instructions to determine work assignments or material or equipment needs
  • Attach identifying tags to containers or mark them with identifying information
  • Stack cargo in locations, such as transit sheds or in holds of ships as directed, using pallets or cargo boards
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY)  | how this is calculated  | last updated 2026-07-16