EXPOSURE TO AI
48%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
9%
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.
48% 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
- Maintain complete and detailed records of patients' health care plans and prognoses
- Develop treatment plans, based on scientific rationale, standards of care, and professional practice guidelines
- Provide patients with information needed to promote health, reduce risk factors, or prevent disease or disability
- Analyze and interpret patients' histories, symptoms, physical findings, or diagnostic information to develop appropriate diagnoses
- Diagnose or treat complex, unstable, comorbid, episodic, or emergency conditions in collaboration with other health care providers as necessary
WHAT IT STILL CAN’T
- Perform routine or annual physical examinations
- Perform primary care procedures such as suturing, splinting, administering immunizations, taking cultures, and debriding wounds
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 48% 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