EXPOSURE TO AI
39%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
7%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
39% 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, record, and maintain patient information, such as medical histories, reports, or examination results
- Analyze records, reports, test results, or examination information to diagnose medical condition of patient
- Explain procedures and discuss test results or prescribed treatments with patients
- Refer patient to medical specialist or other practitioner when necessary
- Plan, implement, or administer health programs in hospitals, businesses, or communities for prevention and treatment of injuries or illnesses
WHAT IT STILL CAN’T
- Treat diseases of female organs
- Care for and treat women during prenatal, natal, and postnatal periods
- Perform cesarean sections or other surgical procedures as needed to preserve patients' health and deliver babies safely
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 39% 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