EXPOSURE TO AI
43%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
7%
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.
43% 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
- Receive written prescription or refill requests and verify that information is complete and accurate
- Enter prescription information into computer databases
- Answer telephones, responding to questions or requests
- Price and file prescriptions that have been filled
- Compute charges for medication or equipment dispensed to hospital patients and enter data in computer
WHAT IT STILL CAN’T
- Maintain proper storage and security conditions for drugs
- Mix pharmaceutical preparations, according to written prescriptions
- Clean and help maintain equipment or work areas and sterilize glassware, according to prescribed methods
- Prepack bulk medicines, fill bottles with prescribed medications, and type and affix labels
- Operate cash registers to accept payment from customers
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 43% 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