EXPOSURE TO AI
18%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Robots can’t hold a hand, a scalpel, or your nerve.
18% 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. Certified hard to automate. Today’s AI barely touches the core of this one.
WHAT AI CAN ALREADY DO
- Enter patient, specimen, insurance, or billing information into computer
- Document route of specimens from collection to laboratory analysis and diagnosis
- Explain fluid or tissue collection procedures to patients
- Provide sample analysis results to physicians to assist diagnosis
- Determine donor suitability, according to interview results, vital signs, and medical history
WHAT IT STILL CAN’T
- Dispose of contaminated sharps, in accordance with applicable laws, standards, and policies
- Organize or clean blood-drawing trays, ensuring that all instruments are sterile and all needles, syringes, or related items are of first-time use
- Draw blood from veins by vacuum tube, syringe, or butterfly venipuncture methods
- Match laboratory requisition forms to specimen tubes
- Dispose of blood or other biohazard fluids or tissue, in accordance with applicable laws, standards, or policies
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 18% 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