Czy AI zastąpi zawód: położny/położna?

Położny/położna will not be replaced by AI. With a disruption score of 15/100, this occupation faces minimal automation risk. While AI tools may enhance administrative and diagnostic tasks—particularly in data management and ultrasound analysis—the core clinical and emotional labor of childbirth support, emergency response, and neonatal care remain fundamentally human-dependent and non-automatable.

Czym zajmuje się położny/położna?

Położni/położne are licensed healthcare professionals specializing in maternal and neonatal care. They support women throughout pregnancy, labor, and postpartum periods by providing clinical care, emotional counseling, and practical guidance. Their responsibilities include conducting deliveries, performing initial newborn assessments, advising on health prevention and childbirth recovery, detecting complications, and preparing expectant parents for parenthood. They work in hospitals, clinics, and home settings, serving as primary caregivers during one of life's most critical transitions.

Jak AI wpływa na ten zawód?

The low disruption score (15/100) reflects a fundamental mismatch between AI capabilities and midwifery's core demands. While administrative vulnerabilities exist—particularly in healthcare data management (39.35 skill vulnerability score) and regulatory compliance—these represent only marginal aspects of the role. AI demonstrates strong complementarity (58.4/100) in support functions: ultrasound analysis, multilingual research access, and data documentation can be AI-enhanced, freeing professionals for higher-value work. However, the most critical midwifery skills—managing emergency childbirth complications, resuscitation, neonatal care, and empathetic family support during labor—remain entirely human-centric. These skills scored highest in resilience precisely because they require real-time clinical judgment, physical intervention, and irreplaceable human presence. Near-term impact will be minimal; long-term, AI integration will likely amplify rather than replace midwives by automating paperwork and enhancing diagnostic accuracy, allowing deeper focus on patient relationships and complex cases.

Najważniejsze wnioski

• •AI disruption score of 15/100 indicates położnicy/położne face minimal replacement risk—this is among the most secure healthcare professions.
• •Administrative and data-management tasks show highest automation vulnerability, while childbirth management, emergency response, and neonatal care remain fundamentally human skills.
• •AI will function as a complementary tool (58.4/100 complementarity score), enhancing ultrasound analysis and research capabilities rather than displacing clinicians.
• •The core value of midwifery—providing emotional support, clinical judgment during labor, and family empathy—cannot be automated and defines long-term job security.
• •Professionals who adopt AI-enhanced diagnostic and administrative tools will increase efficiency and patient outcomes without facing career displacement.

Wynik zakłócenia AI NestorBot obliczany jest na podstawie 3-czynnikowego modelu wykorzystującego taksonomię umiejętności ESCO: podatność umiejętności na automatyzację, wskaźnik automatyzacji zadań oraz komplementarność z AI. Dane aktualizowane kwartalnie.