COOKEDthe AI job-risk monitorSYSTEM LIVE
EXPOSURE TO AI
15%
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.

15% 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
  • Attend training classes to maintain certification licensure, keep abreast of new developments in the field, or maintain existing knowledge
  • Assess nature and extent of illness or injury to establish and prioritize medical procedures
  • Observe, record, and report to physician the patient's condition or injury, the treatment provided, and reactions to drugs or treatment
WHAT IT STILL CAN’T
  • Administer drugs, orally or by injection, or perform intravenous procedures
  • Administer first aid treatment or life support care to sick or injured persons in prehospital settings
  • Comfort and reassure patients
  • Instruct emergency medical response team about emergency interventions to ensure correct application of procedures
  • Operate equipment, such as electrocardiograms (EKGs), external defibrillators, or bag valve mask resuscitators, in advanced life support environments
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