EXPOSURE TO AI
36%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
A co-pilot is coming for the busywork, not the wheel.
36% 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
- Transcribe, type, and distribute reports of diagnostic procedures for interpretation by physician
- Enter factors, such as amount and quality of radiation beam, and filming sequence, into computer
- Perform general administrative tasks, such as scheduling appointments or ordering supplies or equipment
- Explain testing procedures to patients to obtain cooperation and reduce anxiety
- Obtain and record patient identification, medical history, or test results
WHAT IT STILL CAN’T
- Monitor patients' comfort and safety during tests, alerting physicians to abnormalities or changes in patient responses
- Prepare and position patients for testing
- Adjust equipment and controls according to physicians' orders or established protocol
- Check, test, and maintain cardiology equipment, making minor repairs when necessary, to ensure proper operation
- Supervise or train other cardiology technologists or students
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 36% 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