Healthcare · SOC 29-9099.01
Childbirth is irreducibly hands-on; AI aids documentation and risk screening but cannot deliver babies or manage labor crises.
Hands-on, interpersonal or high-stakes work AI struggles to replace.
Timeline: AI will handle prenatal paperwork and screening alerts within 3-5 years, but the hands-on delivery and emergency response core of midwifery faces no credible automation threat this decade.
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Healthcare
$80,450 median pay
$223,210 median pay
$210,130 median pay
Healthcare
$78,140 median pay
AI job-risk card
Midwives is resilient on AIFear. Hands-on, interpersonal or high-stakes work AI struggles to replace.
AIFear.com
Our AI Fear Score for Midwives 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: Prenatal record documentation and tracking, Due-date estimation from scan data, Screening lab results for abnormal flags, Evidence-based guideline lookup and synthesis. Harder to automate: Hands-on labor monitoring and physical examination, Emergency neonatal resuscitation, Managing obstetric complications in real time, Therapeutic rapport with laboring patients.
Lean into Clinical decision support tools, Telehealth prenatal care, Risk stratification and triage, Patient communication and counseling. Consider roles such as Certified Nurse-Midwife (CNM) — broader clinical scope or Maternal-fetal medicine coordinator or Childbirth 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.