EXPOSURE TO AI
38%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Half in the fire, half out. Choose which half you become.
38% 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
- Interpret diagnostic test results for deviations from normal
- Obtain, compile, and record patient medical data, including health history, progress notes, and results of physical examination
- Administer or order diagnostic tests, such as x-ray, electrocardiogram, and laboratory tests
- Make tentative diagnoses and decisions about management and treatment of patients
- Prescribe therapy or medication with physician approval
WHAT IT STILL CAN’T
- Examine patients to obtain information about their physical condition
- Perform therapeutic procedures, such as injections, immunizations, suturing and wound care, and infection management
- Provide physicians with assistance during surgery or complicated medical procedures
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 38% 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