COOKEDthe AI job-risk monitorSYSTEM LIVE
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EXPOSURE TO AI
88%
SEVERE
OBSERVED IN REAL USE · Anthropic 2026
52%
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.

88% 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
  • Identify, analyze, and document problems with program function, output, online screen, or content
  • Document software defects, using a bug tracking system, and report defects to software developers
  • Develop testing programs that address areas such as database impacts, software scenarios, regression testing, negative testing, error or bug retests, or usability
  • Design test plans, scenarios, scripts, or procedures
  • Document test procedures to ensure replicability and compliance with standards
WHAT IT STILL CAN’T
  • Visit beta testing sites to evaluate software performance
  • Recommend purchase of equipment to control dust, temperature, or humidity in area of system installation
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