Healthcare · SOC 29-1151
AI supports pre-op screening documentation, but intraoperative anesthesia management is high-stakes hands-on work with zero room for error.
Hands-on, interpersonal or high-stakes work AI struggles to replace.
Timeline: AI will automate pre-operative paperwork and assist in risk prediction within 3 years, but the intraoperative role remains entirely human due to real-time judgment and physical control requirements.
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Healthcare
$80,450 median pay
$210,130 median pay
Healthcare
$78,140 median pay
$41,340 median pay
AI job-risk card
Nurse Anesthetists is resilient on AIFear. Hands-on, interpersonal or high-stakes work AI struggles to replace.
AIFear.com
Our AI Fear Score for Nurse Anesthetists is 22/100 (Resilient). Hands-on, interpersonal or high-stakes work AI struggles to replace.
22 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: Reviewing patient medical histories for anesthesia risk, Pre-operative documentation and screening forms, Post-anesthesia response monitoring dashboards. Harder to automate: Administering and titrating anesthetics in real time, Managing regional and spinal anesthetic procedures, Calibrating and troubleshooting anesthesia equipment, Rapid response to intraoperative complications.
Lean into Advanced airway management, AI-assisted patient risk stratification, Regional anesthesia techniques, Pharmacology, Critical care monitoring. Consider roles such as Pain management specialist or Critical care nurse or Anesthesiology educator.
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.