COOKEDthe AI job-risk monitorSYSTEM LIVE
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EXPOSURE TO AI
0%
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.

0% 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
  • No fully-automatable tasks flagged in the O*NET list.
WHAT IT STILL CAN’T
  • Mark or discard items with defects such as spots, stains, scars, snags, chips, scratches, or unacceptable shapes or finishes
  • Trim excess material or cut threads off finished products, such as cutting loose ends of plastic off a manufactured toy for a smoother finish
  • Cut, shape, and trim materials, such as textiles, food, glass, stone, and metal, using knives, scissors, and other hand tools, portable power tools, or bench-mounted tools
  • Position templates or measure materials to locate specified points of cuts or to obtain maximum yields, using rules, scales, or patterns
  • Read work orders to determine dimensions, cutting locations, and quantities to cut
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