COOKEDthe AI job-risk monitorSYSTEM LIVE
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EXPOSURE TO AI
70%
SEVERE
OBSERVED IN REAL USE · Anthropic 2026
46%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The model already does most of this before its first coffee.

70% 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. Deeply cooked. Almost the entire task list is something a model can already attempt.

WHAT AI CAN ALREADY DO
  • Maintain library of model documents, templates, or other reusable knowledge assets
  • Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs
  • Maintain or update business intelligence tools, databases, dashboards, systems, or methods
  • Provide technical support for existing reports, dashboards, or other tools
  • Create or review technical design documentation to ensure the accurate development of reporting solutions
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