Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Anesthesiologists:
58.5%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forAnesthesiologists
$391,490 median salary•1,100 annual openings•SOC Code: 29-1211.00
Anesthesiologists are somewhat more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Anesthesiology is labeled "Mostly Resilient" because AI is stepping in as a helpful assistant rather than a replacement, handling tasks like real-time monitoring and record-keeping while the anesthesiologist stays in charge of the big decisions. The most critical parts of this job, including reading a patient's condition in the moment, adapting to unexpected complications, and applying years of medical training, still require a skilled human that no AI system has come close to replacing.
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Anesthesiology is labeled "Mostly Resilient" because AI is stepping in as a helpful assistant rather than a replacement, handling tasks like real-time monitoring and record-keeping while the anesthesiologist stays in charge of the big decisions. The most critical parts of this job, including reading a patient's condition in the moment, adapting to unexpected complications, and applying years of medical training, still require a skilled human that no AI system has come close to replacing.
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Anesthesiologists
Updated Quarterly
How is AI changing Anesthesiologists jobs?
Right now, AI in anesthesiology is mostly augmenting doctors rather than replacing them — think of it as a smart assistant working alongside the physician. A systematic review presented at the ANESTHESIOLOGY® 2025 annual meeting described AI as a "co-pilot," where AI can continuously analyze thousands of data points in real time and learn patterns from past cases, spotting subtle changes sooner and helping tailor decisions to each child's unique anatomy, but it does not replace the anesthesiologist's training and expertise. In pediatric cases, ASA researchers reported [1] that an AI model that analyzes breathing, oxygen, and heart data in real time can warn anesthesiologists up to 60 seconds before the standard alarm system sounds, and AI pain-detection tools reached 95% accuracy versus 85–88% for older scales.
Beyond monitoring, HealthManagement.org explains [2] that closed-loop anaesthesia systems automatically adjust anaesthetic drug delivery based on real-time physiological data, and clinical studies have shown promising results including improved haemodynamic control and reduced recovery times. A Frontiers in Medicine review [3] notes AI is now spreading across the preoperative, intraoperative, and postoperative phases of care, while ambient AI "scribes" are handling record-keeping — Medical Economics reports [4] they are now widely adopted for clinical documentation.
Sources
How fast is AI adoption growing for Anesthesiologists?
Adoption pressure is high because of a workforce crisis: Becker's ASC reports [5] that the projected shortage of anesthesiologists by 2036 will hit 6,300, and 59% of practicing anesthesiologists are 55 or older, with 17% nearing retirement age. To cope, ASCs are beginning to use predictive analytics to anticipate anesthesia staffing needs before shortages occur, pulling data on surgical case volume, case complexity, and provider availability. But adoption is slowed by safety, ethics, and regulation — AI must operate under human oversight, and earlier automated systems like SEDASYS® were discontinued due to limits in adaptability.
The reassuring takeaway: AI is expanding what anesthesiologists can do, not shrinking the need for them.
Sources
Will AI replace Anesthesiologists?
No. We don't think AI will replace Anesthesiologists, though we do expect the job to change.
Our 58.5% AI Resilience Score reflects a role that is holding up well, even as AI takes on real tasks within it. Right now, AI is acting more like a co-pilot than a replacement, analyzing thousands of data points in real time and flagging problems before standard alarms even trigger [1]. Closed-loop systems can automatically adjust drug delivery based on live physiological data, and AI scribes are handling much of the documentation burden (healthmanagement.org, medicaleconomics.com). These are meaningful shifts, but they expand what anesthesiologists can do rather than cut them out.
What stays human is the part that matters most: reading a patient's full picture, making judgment calls under pressure, and taking responsibility when something goes wrong. Earlier automated systems like SEDASYS were discontinued precisely because adaptability has limits [5]. The field also faces a projected shortage of 6,300 anesthesiologists by 2036, which means demand pressure is real even if long-term job market growth looks modest on paper.
The honest picture is a job that gets harder to do without AI and easier to do with it. That is a shift worth preparing for, not a reason to avoid the field.
Sources
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Latest AI news for Anesthesiologists
These articles highlight how AI is transforming anesthesiology, presenting both opportunities and challenges for future anesthesiologists. For instance, AI's role in closed-loop anesthesia control systems promises enhanced patient safety and care efficiency. Additionally, AI can streamline staffing and improve case supervision, potentially reshaping job responsibilities and work dynamics. Embracing these advancements can foster resilience in your career, enabling you to adapt and thrive in a rapidly evolving field.
AI in Anesthesia: Disruption, Opportunity and the Future of ...
coronishealth.com • 9/20/2026
Sep 29, 2025 — AI may change how anesthesia groups are staffed, how anesthesiologists supervise cases and even how groups negotiate contracts with hospitals ...
Artificial intelligence revolutionizing anesthesia management
www.frontiersin.org • 9/20/2026
by Y Cao · 2025 · Cited by 25 — AI technology has significantly advanced the development of closed-loop anesthesia control systems, improving the stability and safety of the ... Read more
AI-Enhanced Anesthesiology Part One: The Future of Patient ...
anest.ufl.edu • 9/20/2026
Nov 29, 2023 — The potential of AI to enhance the field of anesthesiology extends beyond data research and analysis to clinical technologies and decision ... Read more
Comparison of AI applications and anesthesiologist's ...
link.springer.com • 9/20/2026
by E Çelik · 2025 · Cited by 17 — AI can quickly select the most appropriate anesthesia method from among numerous alternatives, which is a substantial benefit. The fact that AI ... Read more
How AI is reshaping the anesthesia workforce
kevinmd.com • 8/29/2024
Emerging AI and technology advancements in anesthesia may enhance care but also pose potential workforce challenges, necessitating proactive...
More Career Info
Career: Anesthesiologists
They help keep patients pain-free and unconscious during surgeries by giving them special medicine and monitoring their vital signs to ensure safety.
Parent Careers
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Employment & Wage Data
Median Wage
$391,490
Jobs (2025)
41,500
Growth (2025-35)
+3.6%
Annual Openings
1,100
Education
Doctoral or professional degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Provide and maintain life support and airway management and help prepare patients for emergency surgery.
2
Place invasive intravascular monitors into patients.
3
Administer anesthetic or sedation during medical procedures, using local, intravenous, spinal, or caudal methods.
4
Position patient on operating table to maximize patient comfort and surgical accessibility.
5
Provide medical care and consultation in many settings, prescribing medication and treatment and referring patients for surgery.
6
Monitor patient before, during, and after anesthesia and counteract adverse reactions or complications.
7
Coordinate and direct work of nurses, medical technicians, and other health care providers.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
