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EXPOSURE TO AI
35%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
n/a
Not yet measured in the Anthropic Economic Index. The exposure figure is a capability estimate only.
Half in the fire, half out. Choose which half you become.

35% 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. In the blast radius. A real slice of the work is already automatable. The rest isn’t.

WHAT AI CAN ALREADY DO
  • Advise patients and community members concerning diet, activity, hygiene, or disease prevention
  • Compare measurements of heart wall thickness and chamber sizes to standards to identify abnormalities, using the results of an echocardiogram
  • Conduct research to develop or test medications, treatments, or procedures that prevent or control disease or injury
  • Design and explain treatment plans, based on patient information such as medical history, reports, and examination results
  • Diagnose medical conditions of patients, using records, reports, test results, or examination information
WHAT IT STILL CAN’T
  • Administer emergency cardiac care for life-threatening heart problems, such as cardiac arrest and heart attack
  • Conduct tests of the pulmonary system, using a spirometer or other respiratory testing equipment
  • Diagnose cardiovascular conditions, using cardiac catheterization
  • Inject contrast media into patients' blood vessels
  • Operate diagnostic imaging equipment to produce contrast-enhanced radiographs of heart and cardiovascular system
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