Will AI replace nurse anesthetists?
Unlikely. Most of the work is hard for today's AI to speed up. Nurse Anesthetists score 17 out of 100 (low exposure), #663 of 923 US jobs. AI could speed up 8 of the job's 24 tasks, 0 of them on its own, while 16 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which nurse anesthetists tasks can AI do?
The most exposed tasks include "Assess patients' medical histories to predict anesthesia response"; "Develop anesthesia care plans"; "Perform pre-anesthetic screenings, including physical evaluations and patient interviews, and document results".
Which nurse anesthetists tasks are hardest for AI?
Tasks with little or no AI speed-up include "Manage patients' airway or pulmonary status, using techniques such as endotracheal intubation, mechanical ventilation, pharmacological support, respiratory therapy, and extubation"; "Respond to emergency situations by providing airway management, administering emergency fluids or drugs, or using basic or advanced cardiac life support techniques"; "Monitor patients' responses, including skin color, pupil dilation, pulse, heart rate, blood pressure, respiration, ventilation, or urine output, using invasive and noninvasive techniques".
Are people already using AI for this work?
Yes. In April–May 2026, 1 of the 24 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as nurse anesthetists, and what do they earn?
About 51,840 people in the US, with median pay of $236,590 a year (BLS, May 2025).