EXPOSURE TO AI
45%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
3%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
45% 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
- Document patients' medical histories
- Engage in self-directed learning and continuing education activities
- Present research findings at national meetings or in peer-reviewed journals
- Educate patients about diagnoses, prognoses, or treatments
- Interpret diagnostic test results to make appropriate differential diagnoses
WHAT IT STILL CAN’T
- Provide therapies, such as allergen immunotherapy or immunoglobin therapy, to treat immune conditions
- Conduct physical examinations of patients
- Perform allergen provocation tests such as nasal, conjunctival, bronchial, oral, food, or medication challenges
- Order or perform diagnostic tests such as skin pricks and intradermal, patch, or delayed hypersensitivity tests
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 45% 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