Will AI replace anesthesiologists?
Unlikely. Most of the work is hard for today's AI to speed up. Anesthesiologists score 25 out of 100 (moderate exposure), #581 of 923 US jobs. AI could speed up 9 of the job's 18 tasks, 0 of them on its own, while 9 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which anesthesiologists tasks can AI do?
The most exposed tasks include "Record type and amount of anesthesia and patient condition throughout procedure"; "Examine patient, obtain medical history, and use diagnostic tests to determine risk during surgical, obstetrical, and other medical procedures"; "Confer with other medical professionals to determine type and method of anesthetic or sedation to render patient insensible to pain".
Which anesthesiologists tasks are hardest for AI?
Tasks with little or no AI speed-up include "Monitor patient before, during, and after anesthesia and counteract adverse reactions or complications"; "Provide and maintain life support and airway management and help prepare patients for emergency surgery"; "Administer anesthetic or sedation during medical procedures, using local, intravenous, spinal, or caudal methods".
Are people already using AI for this work?
Yes. In April–May 2026, 2 of the 18 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as anesthesiologists, and what do they earn?
About 38,760 people in the US, with median pay of $391,490 a year (BLS, May 2025).