EXPOSURE TO AI
44%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
44% 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
- Order, perform, and interpret tests and analyze records, reports, and examination information to diagnose patients' condition
- Collect, record, and maintain patient information, such as medical history, reports, or examination results
- Explain procedures and discuss test results or prescribed treatments with patients
- Refer patients to medical specialists or other practitioners when necessary
- Plan, implement, or administer health programs or standards in hospitals, businesses, or communities for prevention or treatment of injury or illness
WHAT IT STILL CAN’T
- Coordinate work with nurses, social workers, rehabilitation therapists, pharmacists, psychologists, and other health care providers
- Operate on patients to remove, repair, or improve functioning of diseased or injured body parts and systems
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 44% 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