OBSERVED IN REAL USE · Anthropic 2026
4%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The robots can help. They can’t replace the room you read.
32% 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
- Write reports or notes to summarize testing procedures or outcomes for physicians or other medical professionals
- Select appropriate imaging techniques or coils to produce required images
- Explain magnetic resonance imaging (MRI) procedures to patients, patient representatives, or family members
- Inspect images for quality, using magnetic resonance scanner equipment and laser camera
- Create backup copies of images by transferring images from disk to storage media or workstation
WHAT IT STILL CAN’T
- Intravenously inject contrast dyes, such as gadolinium contrast, in accordance with scope of practice
- Position patients on cradle, attaching immobilization devices, if needed, to ensure appropriate placement for imaging
- Provide headphones or earplugs to patients to improve comfort and reduce unpleasant noise
- Troubleshoot technical issues related to magnetic resonance imaging (MRI) scanner or peripheral equipment, such as monitors or coils
- Calibrate magnetic resonance imaging (MRI) console or peripheral hardware
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 32% 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