Breastfeeding Questions Are Driving New Mothers Toward AI—But Pediatricians Warn of Hidden Risks

For exhausted nursing mothers, artificial intelligence can appear to offer an immediate answer at any hour. A new national survey commissioned by Orlando Health suggests that many women are turning to digital tools before contacting a medical professional when breastfeeding problems arise. Among women aged 18 to 44, 51 percent said they would first consult an AI chatbot, social media platform or search engine if they had an urgent breastfeeding question. By comparison, 29 percent would first contact a doctor or lactation consultant, while 21 percent would ask a family member or friend.

The findings highlight a rapidly changing relationship between parents and health information. Generative AI systems can summarize large amounts of medical content within seconds, but they generally lack access to the clinical details required to safely interpret an infant’s feeding problem. A chatbot cannot examine a baby’s mouth, evaluate muscle coordination during feeding, inspect a growth chart or directly observe whether milk is transferring effectively. Those limitations are particularly important during breastfeeding, when apparently minor symptoms can reflect problems involving hydration, oral anatomy, metabolism or inadequate calorie intake.

Erynne Bowers, M.D., a pediatrician with Orlando Health Physician Associates—Lake Mary Pediatrics, said roughly one-third of mothers who bring breastfeeding concerns to her have already received inaccurate advice from artificial intelligence. Some of the misinformation involves precise recommendations about how much milk a baby should consume and how frequently the baby should feed. Such calculations are not interchangeable from one infant to another. Nutritional requirements vary according to age, birth weight, growth trajectory, medical history, feeding efficiency and whether the child is receiving breast milk, formula or a combination of both.

The technical challenge is that infant feeding cannot be assessed reliably through a single numerical rule. Pediatricians monitor weight gain over time, hydration indicators, stool and urine patterns, alertness and developmental progress. They may also evaluate the infant’s latch, tongue movement, jaw control and coordination among sucking, swallowing and breathing. A baby may appear to feed for a long time while transferring relatively little milk, or may feed briefly but efficiently. Without an examination and longitudinal data, an AI-generated answer may convert a complex clinical assessment into an oversimplified schedule.

Bowers warned that online advice can delay necessary care for both mother and child. If a parent is told that a baby does not need to feed as frequently, the infant may receive insufficient calories and experience slowed growth. At the same time, reducing breast stimulation can suppress milk production because lactation depends heavily on the physiological feedback created by frequent milk removal. A delay in arranging a lactation consultation or pediatric appointment can therefore produce a cycle in which poor milk transfer, declining supply and inadequate weight gain reinforce one another.

Emily Hunziker of Sanford, Florida, experienced that uncertainty after her younger son, Luca, was born weighing nearly 10 pounds but began losing weight. She searched online for explanations while trying to breastfeed exclusively. Hunziker said digital summaries can be useful starting points, but emphasized that parents must evaluate the credibility of the source behind them. Her experience reflects a broader problem with AI-mediated health information: a response may sound confident and medically plausible while failing to reveal how incomplete or unsuitable it is for a specific patient.

Hunziker eventually worked with Bowers to create a feeding plan that respected her goal of breastfeeding while responding to Luca’s nutritional needs. The approach included consultation with a lactation specialist, pumping, bottle-feeding and supplemental formula. Rather than treating breastfeeding and supplementation as mutually exclusive, the clinical team adjusted the plan as Luca’s weight and feeding performance evolved. Hunziker said her son is now thriving and credited the pediatrician with supporting her preferences without compromising safety. That individualized balance, she noted, is something an AI system cannot provide on its own.

Professional guidance is especially important because breastfeeding outcomes are shaped by both infant and maternal physiology. For the infant, adequate intake supports growth, brain development and immune function. For the mother, milk production responds to hormonal signals and the frequency and effectiveness of breast emptying. Orlando Health says breastfeeding, when parents are willing and able to do so, is associated with lower risks of several childhood conditions, including ear infections and asthma, and may also offer long-term health benefits for mothers. These benefits do not eliminate the need for individualized care when feeding becomes difficult.

Bowers recommends that parents use evidence-based resources, including Orlando Health’s Breastfeeding Education and Support materials, HealthyChildren.org from the American Academy of Pediatrics and La Leche League International. These sources can provide general education when a clinician is not immediately available, but urgent concerns should be directed to a healthcare professional. Warning signs such as poor weight gain, unusual sleepiness, signs of dehydration, persistent vomiting, breathing difficulty, severe pain or a sudden reduction in feeding require prompt medical assessment rather than reliance on an automated response.

The survey’s central message is not that artificial intelligence has no role in parenting, but that its role must remain limited. AI can help explain terminology, organize questions for an appointment and point users toward established medical organizations. It cannot replace the physical examination, growth monitoring and collaborative decision-making required to manage infant nutrition. As more parents turn to conversational systems for rapid answers, the safety of those answers will depend on recognizing the boundary between general information and clinical judgment—especially during the vulnerable first months of a child’s life.

Subject of Research: People

Article Title: Breastfeeding Questions Are Driving New Mothers Toward AI—But Pediatricians Warn of Hidden Risks

Web References: Orlando Health; Orlando Health Breastfeeding Education and Support; HealthyChildren.org; La Leche League International

References: Orlando Health national survey on breastfeeding information-seeking behavior; statements from Erynne Bowers, M.D.; patient account from Emily Hunziker

Image Credits: Orlando Health

Keywords: Breastfeeding, artificial intelligence, infant nutrition, pediatric medicine, lactation, maternal health, healthcare misinformation, child development, medical advice, Orlando Health