Midwives
AI replacement rate
40%This role is currently tracked with 10 timeline items plus a profile-based replacement estimate.
While core human elements of empathy and hands-on delivery remain irreplaceable, aspects of a midwife's role involving data management, routine monitoring, and information dissemination show moderate potential for AI augmentation and automation according to the provided role profile.
Replacement trend
Aggregated from periodic refresh snapshots- 2026-04-2040%
Why this role is rated this way
Structural baseThe role profile indicates moderate levels of repetition (repetition=2), transformation (transformation=3), and potential for workflow automation (workflow_automation=2). This suggests that tasks such as patient record-keeping, scheduling, managing vital signs data, and basic prenatal/postnatal monitoring could be significantly handled or augmented by AI systems, improving efficiency.
With a low-to-medium score in rule clarity (rule_clarity=2) and ambiguity (ambiguity=2), certain aspects of the role involve clearer protocols and less uncertainty. AI could effectively manage and deliver standardized health information, answer common queries from expectant parents, and provide routine guidance based on established medical protocols, allowing midwives to focus on more complex, individualized care.
Despite the role profile suggesting low physicality (physicality=1), the essential function of a midwife involves direct physical assistance during labor, delivery, and immediate postnatal care. This complex, tactile interaction, physical maneuvering, and immediate response to unforeseen physical complications are critical and currently beyond AI capabilities.
While the role profile indicates low-to-medium interpersonal intensity (interpersonal=2), the core of midwifery inherently requires deep empathy, emotional intelligence, and nuanced communication to support patients through a highly vulnerable and personal experience. AI cannot replicate genuine human connection, trust-building, and ethical decision-making in sensitive scenarios, which are vital for a midwife.
Timeline
Relevant news and cases, newest firstA midwife (pl.: midwives) is a health professional who cares for mothers and newborns around childbirth, a specialisation known as midwifery. The education and training for a midwife concentrates extensively on the care of women throughout their lifespan; concentrating on being experts in what ...
Open originalHaving considered the potential benefits and risks, all the articles conclude that AI needs to be integrated into midwifery curricula [4,6,10,13,31,32]. Midwives should be able to participate in and lead AI initiatives, as well as conduct AI-related research in healthcare [6,10,32]. In order to successfully incorporate AI into midwifery practice, midwives need to receive appropriate education [13] and it is important that midwifery students are prepared for their future careers, as AI plays a significant role in healthcare [4,31]. Furthermore, integrating AI into midwifery curricula can increa
Open originalInterpreting the results correctly requires years of experience, and even then, it is not perfect. Now, AI systems are being trained to analyze CTG data in real time, alerting midwives earlier if there are signs of distress.
Open originalBackground/Objectives: Artificial intelligence (AI) is considered one of the core technological advancements of Industry 4.0, expected to transform various sectors, including healthcare. Midwifery can greatly benefit from AI; however, its current use, its future potential, and midwives’ attitudes ...
Open originalArtificial Intelligence in Healthcare ... program equips nurse midwives to work confidently with automated diagnostics, predictive models, and personalized care technologies increasingly used in obstetric settings....
Open originalOne NHS trust has introduced an automation programme, using a series of robots to streamline the booking and referrals process, as well as providing notifications of emergency department attendance, ensuring women receive timely care.
Open originalMidwives are specialized maternity care clinicians who support birthing people’s reproductive health through pregnancy, childbirth, and postpartum care. Midwives, ob/gyns, and family physicians are trained to deliver babies in California.
Open originalThese benefits are largely gained through AI’s ability to quickly interrogate large volumes of data for patterns, trends and anomalies beyond human capacity through the use of algorithms, machine learning, and deep learning; accurately identify specific interventions and alerts for those patients at risk; automatically adjust decision making in response to newly added data; and automate routine, mundane, and time-consuming tasks that do not require specialised nursing or midwifery knowledge or skills, allowing nurses and midwives to perform tasks more efficiently8-10. Despite providing advan
Open originalIt is possible to increase job satisfaction of health professionals by improving their working conditions [7]. In this direction, the development and use of artificial intelligence (AI) tools in the field of health is very valuable in terms of facilitating decision-making in midwifery practices, providing quality health care services, reducing workload, increasing performance and reducing documentation [8]. However, midwives have concerns about the positive aspects of AI as well as some problems such as ethical, social and cultural concerns, technical problems, professional threat, lack of emotion, empathy problem [9, 10].
Open originalAI technologies improved diagnostic accuracy, patient monitoring, risk assessment, treatment personalization, and expedited drug discovery. Moreover, by automating routine tasks and reducing administrative burdens, AI supports midwives in focusing ...
Open original