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EXPOSURE TO AI
13%
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.

13% 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 amounts and types of special food items served to customers
  • Examine trays to ensure that they contain required items
  • Total checks, present them to customers, and accept payment for services
WHAT IT STILL CAN’T
  • Place food servings on plates or trays according to orders or instructions
  • Clean or sterilize dishes, kitchen utensils, equipment, or facilities
  • Load trays with accessories, such as eating utensils, napkins, or condiments
  • Take food orders and relay orders to kitchens or serving counters so they can be filled
  • Remove trays and stack dishes for return to kitchen after meals are finished
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