EXPOSURE TO AI
44%
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.
44% 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
- Collect and record patient information, such as medical history or examination results, in electronic or handwritten medical records
- Analyze records, examination information, or test results to diagnose medical conditions
- Communicate likely outcomes of medical diseases or traumatic conditions to patients or their representatives
- Conduct primary patient assessments that include information from prior medical care
- Consult with hospitalists and other professionals, such as social workers, regarding patients' hospital admission, continued observation, transition of care, or discharge
WHAT IT STILL CAN’T
- Perform emergency resuscitations on patients
- Perform such medical procedures as emergent cricothyrotomy, endotracheal intubation, and emergency thoracotomy
- Stabilize patients in critical condition
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.
"My job is 44% cooked. What’s yours?"
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