AI Resilience Report forMidwives

Right now, AI in midwifery is mostly being used to augment (support) midwives rather than replace them — and adoption is still pretty limited. A 2025 scoping review found that although AI is not yet widely implemented in midwifery, it has notable potential, with benefits like the enhancement of clinical education through personalized learning tools, such as AI-driven virtual patients and customized assessments, as well as a reduction in clinical errors via predictive models and real-time monitoring technologies. You can see this in an AI-powered "NeMa smartbot" built into the Safe Delivery App ^[1], which gives midwives instant, evidence-based guidance on handling birth complications, even offline.

In a recent Journal of Midwifery & Women's Health study ^[2], generative AI is being used to create realistic telehealth practice cases for midwifery students. Importantly, the hands-on parts of the job — the massage, breathing coaching, emotional support, and breastfeeding help — remain firmly human, which matches the very low automation scores for those tasks.

AI is likely to spread slowly in midwifery. The same scoping review ^[3] found that integration remains limited due to two key obstacles: ethical concerns (e.g., data privacy) and a notable level of anxiety or hesitation among midwives, associated with low levels of digital health literacy. The World Health Organization ^[4] is actually pushing for more midwives globally, not fewer, because they save lives that machines can't.

On the economic side, a study in Globalization and Health ^[5] showed that AI adoption significantly reduces maternal mortality, particularly in developing countries, which creates pressure to adopt helpful tools. So expect AI to handle paperwork, risk prediction, and learning simulations, while you focus on the deeply human side of bringing babies into the world.