OBSERVED IN REAL USE · Anthropic 2026
6%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The machines are eyeing your desk.
53% 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. Heavily exposed. Most of the tasks are within reach of today’s AI.
WHAT AI CAN ALREADY DO
- Prepare study-related documentation, such as protocol worksheets, procedural manuals, adverse event reports, institutional review board documents, or progress reports
- Code, evaluate, or interpret collected study data
- Maintain contact with sponsors to schedule and coordinate site visits or to answer questions about issues such as incomplete data
- Develop advertising and other informational materials to be used in subject recruitment
- Register protocol patients with appropriate statistical centers as required
WHAT IT STILL CAN’T
- Perform specific protocol procedures such as interviewing subjects, taking vital signs, and performing electrocardiograms
- Direct the requisition, collection, labeling, storage, or shipment of specimens
- Organize space for study equipment and supplies
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 53% 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