COOKEDthe AI job-risk monitorSYSTEM LIVE
◀ scan anotherNURSING ASSISTANTSshare ⧉
EXPOSURE TO AI
10%
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.

10% 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
  • Document or otherwise report observations of patient behavior, complaints, or physical symptoms to nurses
  • Explain medical instructions to patients or family members
  • Record height or weight of patients
  • Provide information, such as directions, visiting hours, or patient status information to visitors or callers
  • Observe or examine patients to detect symptoms that may require medical attention, such as bruises, open wounds, or blood in urine
WHAT IT STILL CAN’T
  • Turn or reposition bedridden patients
  • Answer patient call signals, signal lights, bells, or intercom systems to determine patients' needs
  • Feed patients or assist patients to eat or drink
  • Provide physical support to assist patients to perform daily living activities, such as getting out of bed, bathing, dressing, using the toilet, standing, walking, or exercising
  • Remind patients to take medications or nutritional supplements
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