OBSERVED IN REAL USE · Anthropic 2026
6%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Lightly singed at worst. Carry on.
34% 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. Mostly safe. AI helps around the edges, but the job stays human.
WHAT AI CAN ALREADY DO
- Document patients' medical histories and assessment findings
- Document patients' treatment plans, interventions, outcomes, or plan revisions
- Participate in professional organizations and continuing education to improve practice knowledge and skills
- Evaluate patients' vital signs or laboratory data to determine emergency intervention needs
- Prioritize nursing care for assigned critically ill patients, based on assessment data or identified needs
WHAT IT STILL CAN’T
- Administer medications intravenously, by injection, orally, through gastric tubes, or by other methods
- Monitor patients' fluid intake and output to detect emerging problems, such as fluid and electrolyte imbalances
- Collect specimens for laboratory tests
- Set up and monitor medical equipment and devices such as cardiac monitors, mechanical ventilators and alarms, oxygen delivery devices, transducers, or pressure lines
- Administer blood and blood products, monitoring patients for signs and symptoms related to transfusion reactions
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 34% 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