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.
21% 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
- Attend training classes to maintain certification licensure, keep abreast of new developments in the field, or maintain existing knowledge
- Observe, record, and report to physician the patient's condition or injury, the treatment provided, and reactions to drugs or treatment
- Communicate with dispatchers or treatment center personnel to provide information about situation, to arrange reception of victims, or to receive instructions for further treatment
WHAT IT STILL CAN’T
- Administer first aid treatment or life support care to sick or injured persons in prehospital settings
- Comfort and reassure patients
- Decontaminate ambulance interior following treatment of patient with infectious disease, and report case to proper authorities
- Drive mobile intensive care unit to specified location, following instructions from emergency medical dispatcher
- Immobilize patient for placement on stretcher and ambulance transport, using backboard or other spinal immobilization device
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 21% 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