COOKEDthe AI job-risk monitorSYSTEM LIVE
◀ scan anotherLOGISTICS ANALYSTSshare ⧉
EXPOSURE TO AI
57%
HIGH
OBSERVED IN REAL USE · Anthropic 2026
16%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Automate-adjacent. Keep the parts only you can sign off on.

57% 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. Heavily exposed. Most of the tasks are within reach of today’s AI.

WHAT AI CAN ALREADY DO
  • Enter logistics-related data into databases
  • Maintain logistics records in accordance with corporate policies
  • Write or revise standard operating procedures for logistics processes
  • Enter carbon-output or environmental-impact data into spreadsheets or environmental management or auditing software programs
  • Maintain databases of logistics information
WHAT IT STILL CAN’T
  • Almost nothing here is clearly out of reach. That’s the warning in this one.
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