Will AI replace Anesthesiologists?
Most of the work in Anesthesiologists still leans on things AI struggles with — research rates its theoretical AI reach at only ~25%, and real-world use lower still.
O*NET-SOC 29-1211
How your 16 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~25%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~25%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 16 tasks, ratedBased on real task-level AI scores — click to collapse
- None — AI cannot fully do any core task alone yet.
- 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.
- Order laboratory tests, x-rays, and other diagnostic procedures.
- Inform students and staff of types and methods of anesthesia administration, signs of complications, and emergency methods to counteract reactions.
- Manage anesthesiological services, coordinating them with other medical activities and formulating plans and procedures.
- Diagnose illnesses, using examinations, tests, and reports.
- Instruct individuals and groups on ways to preserve health and prevent disease.
- 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.
- Position patient on operating table to maximize patient comfort and surgical accessibility.
- Coordinate administration of anesthetics with surgeons during operation.
- Decide when patients have recovered or stabilized enough to be sent to another room or ward or to be sent home following outpatient surgery.
- Provide medical care and consultation in many settings, prescribing medication and treatment and referring patients for surgery.
- Coordinate and direct work of nurses, medical technicians, and other health care providers.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.