Healthcare · SOC 29-1071.01
Anesthesia demands split-second judgment and patient safety accountability — AI assists monitoring but can't assume that liability.
Hands-on, interpersonal or high-stakes work AI struggles to replace.
Timeline: Automated monitoring tools are improving, but intraoperative judgment and the liability of patient safety under anesthesia mean this remains highly human-dependent through 2035.
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$65,010 median pay
Healthcare
$113,730 median pay
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Industry pages show which sectors this occupation feeds and the AI companies driving the shift.
AI job-risk card
Anesthesiologist Assistants is resilient on AIFear. Hands-on, interpersonal or high-stakes work AI struggles to replace.
AIFear.com
Our AI Fear Score for Anesthesiologist Assistants is 25/100 (Resilient). Hands-on, interpersonal or high-stakes work AI struggles to replace.
25 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Collecting and documenting pre-anesthetic histories, Monitoring and logging post-anesthesia vital trend data. Harder to automate: Calibrating and pretesting anesthesia delivery systems, Monitoring patients in real time during surgery, Administering blood products and emergency interventions, Responding to intraoperative complications.
Lean into Anesthesia monitoring and equipment management, Pharmacology of anesthetic agents, Advanced cardiac life support (ACLS), Patient safety protocols, Intraoperative crisis management. Consider roles such as Certified Registered Nurse Anesthetist (CRNA) or Surgical care coordinator or Perioperative safety specialist.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.