OBSERVED IN REAL USE · Anthropic 2026
64%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Well done. And by that we mean: cooked.
88% 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. Deeply cooked. Almost the entire task list is something a model can already attempt.
WHAT AI CAN ALREADY DO
- Perform data entry and data retrieval services, providing data for inclusion in medical records and for transmission to physicians
- Take dictation using shorthand, a stenotype machine, or headsets and transcribing machines
- Perform a variety of clerical and office tasks, such as handling incoming and outgoing mail, completing and submitting insurance claims, typing, filing, or operating office machines
- Return dictated reports in printed or electronic form for physician's review, signature, and corrections and for inclusion in patients' medical records
- Produce medical reports, correspondence, records, patient-care information, statistics, medical research, and administrative material
WHAT IT STILL CAN’T
- Receive and screen telephone calls and visitors
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 88% 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