OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Lightly singed at worst. Carry on.
28% 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
- Maintain patients' records
- Update skills and knowledge by attending conferences and seminars
- Publish research findings or present them at conferences and seminars
- Design orthopedic and prosthetic devices, based on physicians' prescriptions and examination and measurement of patients
- Confer with physicians to formulate specifications and prescriptions for orthopedic or prosthetic devices
WHAT IT STILL CAN’T
- Fit, test, and evaluate devices on patients, and make adjustments for proper fit, function, and comfort
- Examine, interview, and measure patients to determine their appliance needs and to identify factors that could affect appliance fit
- Instruct patients in the use and care of orthoses and prostheses
- Select materials and components to be used, based on device design
- Construct and fabricate appliances, or supervise others constructing the appliances
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 28% 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