COOKEDthe AI job-risk monitorSYSTEM LIVE
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).
Robots can’t hold a hand, a scalpel, or your nerve.

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
  • Cook the exact number of items ordered by each customer, working on several different orders simultaneously
  • Prepare specialty foods, such as pizzas, fish and chips, sandwiches, or tacos, following specific methods that usually require short preparation time
  • Operate large-volume cooking equipment, such as grills, deep-fat fryers, or griddles
  • Wash, cut, and prepare foods designated for cooking
  • Prepare and serve beverages, such as coffee or fountain drinks
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