Healthcare · SOC 29-1218
Surgical deliveries, prenatal physical care, and patient communication during vulnerable moments are deeply human responsibilities.
Hands-on, interpersonal or high-stakes work AI struggles to replace.
Timeline: AI will assist prenatal risk stratification and documentation within 3 years; the surgical and intimate care dimensions of OB/GYN preserve strong human necessity well into the 2030s.
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$133,260 median pay
$65,010 median pay
$113,730 median pay
$87,000 median pay
$79,000 median pay
Healthcare
AI job-risk card
Obstetricians and Gynecologists is resilient on AIFear. Hands-on, interpersonal or high-stakes work AI struggles to replace.
AIFear.com
Our AI Fear Score for Obstetricians and Gynecologists 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: Analyzing records and test results for diagnoses, Preparing birth and death statistical reports, Advising on diet and prevention from guidelines, Consulting colleagues via structured case reviews. Harder to automate: Surgical procedures including C-sections and gynecological operations, Prenatal physical examination and monitoring, Managing obstetric emergencies in real time, Supporting patients through high-stakes reproductive decisions.
Lean into Minimally invasive gynecologic surgery, High-risk obstetric management, AI-assisted prenatal screening, Patient-centered reproductive counseling, Fetal medicine. Consider roles such as Maternal-fetal medicine subspecialist or Gynecologic oncologist or Reproductive endocrinologist.
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.