Will AI Replace midwife?

Midwives face a low AI disruption risk with a score of 15/100, meaning this profession is unlikely to experience significant automation in the foreseeable future. While AI will enhance certain administrative and diagnostic tasks—particularly around data management and sonography interpretation—the core clinical work of assisting childbirth, managing emergencies, and providing emotional support during pregnancy remains fundamentally human-centered and resistant to automation.

What Does a midwife Do?

Midwives are healthcare professionals who provide comprehensive support to women throughout pregnancy, labour, and the postpartum period. Their responsibilities include conducting births, caring for newborns, and offering evidence-based advice on health, preventive measures, and preparation for parenthood. Midwives screen for complications in both mother and baby, provide hands-on clinical care during labour, offer emotional support to women and their families, and educate on topics ranging from nutrition to the effects of childbirth on sexuality. They work in hospitals, birthing centres, and community settings, often serving as the primary healthcare contact during this critical life stage.

How AI Is Changing This Role

Midwifery's low disruption score (15/100) reflects the profession's heavy reliance on irreplaceable human skills. The most vulnerable competencies—data management, policy compliance, and information provision on childbirth effects—are administrative and informational tasks where AI can provide meaningful support through automation and decision-support tools. However, these represent a small fraction of midwifery work. The truly resilient core—physical delivery assistance, neonatal resuscitation, emergency response, and empathetic family support—cannot be delegated to machines. These skills require real-time clinical judgment, tactile expertise, and emotional intelligence that remain beyond AI's current and foreseeable capabilities. Near-term AI adoption will likely enhance midwives' capabilities through better ultrasound analysis, automated charting, and evidence lookup, freeing time for direct patient care. Long-term, AI complements rather than replaces midwifery: a midwife augmented by AI tools becomes more effective, not obsolete.

Key Takeaways

  • Midwifery has a low AI disruption score of 15/100, indicating strong job security and minimal automation risk.
  • Core clinical skills—childbirth assistance, emergency care, and neonatal resuscitation—are highly resilient to AI displacement.
  • Administrative and data-management tasks will be enhanced by AI, allowing midwives to spend more time on direct patient care.
  • AI will function as a complementary tool (58.4/100 AI complementarity) rather than a replacement, improving diagnostic accuracy and decision-support.
  • The irreducible human elements of empathy, presence, and physical expertise ensure midwifery remains a secure, future-proof career.

NestorBot's AI Disruption Score is calculated using a 3-factor model based on the ESCO skill taxonomy: skill vulnerability to automation, task automation proxy, and AI complementarity.

15/ 1000100Low Risk

midwife

Midwives assist women in childbirth by providing the necessary support, care and advice during pregnancy, labour and the postpartum period, conduct births and provide care for the new-born. They advise on health, preventive measures, preparation for parenthood, detection of complications in mother and child, accessing of medical care, promoting normal birth and carrying out emergency measures.

ISCO 2222Explore this role
39
Skill Vulnerability
Impact: Now
27
Task Automation
Impact: 1–3 years
58
AI Enhancement
Impact: 5+ years

How AI Will Change This Role

Expected Impact Timeline

Near-term (1-3 years)

Minimal AI disruption expected. AI tools enhance rather than replace.

Mid-term (3-7 years)

AI augments productivity. Demand may increase as AI creates new specializations.

Long-term (7-15 years)

Role remains fundamentally human. AI serves as a powerful assistant for complex decisions.

Tasks Most Likely to Be Automated

  • ⚠manage healthcare users' data
  • ⚠company policies
  • ⚠provide information on the effects of childbirth on sexuality
  • ⚠comply with legislation related to health care

Tasks That Will Remain Human

  • ✔childbirth
  • ✔resuscitation
  • ✔empathise with the woman's family during and after pregnancy
  • ✔deal with emergency care situations

Skills to Develop for AI Resilience

use foreign languages for health-related researchuse obstetric sonographymanage healthcare users' dataobstetric ultrasonographyneonatology

Most Vulnerable Skills

manage healthcare users' dataKeep accurate client records which also satisfy legal and professional standards and ethical obligations in order to facilitate client management, ensuring that all clients' data (including verbal, wr...
company policiesThe set of rules that govern the activity of a company.
provide information on the effects of childbirth on sexualityProvide information to the mother or her family on the effects of childbirth on sexual behaviour.
comply with legislation related to health careComply with the regional and national health legislation which regulates relations between suppliers, payers, vendors of the healthcare industry and patients, and the delivery of healthcare services.
use foreign languages for health-related researchUse foreign languages for conducting and collaborating in health-related research.

Exposure

Most Resilient Skills

childbirthThe process of delivering a baby, the symptoms and signs of labour, the expulsion of the baby and all the related steps and procedures, including the ones related to complications and pre-mature birth...
resuscitationThe emergency procedure applied to individuals with no pulse to restore them to consciousness.
empathise with the woman's family during and after pregnancyDemonstrate empathy with women and their families during pregancy, childbirth labour and in the post partum period.
deal with emergency care situationsAssess the signs and be well-prepared for a situation that poses an immediate threat to a person's health, security, property or environment.
care for the new-born infantTake care of the newly born baby by performing actions such as feeding him/her at regular hours, checking his/her vital signs and changing diapers.

Exposure

AI-Enhanced Skills

use foreign languages for health-related researchUse foreign languages for conducting and collaborating in health-related research.
use obstetric sonographyApply medical ultrasonography to obstetrics to show the foetus in the mother`s womb.
manage healthcare users' dataKeep accurate client records which also satisfy legal and professional standards and ethical obligations in order to facilitate client management, ensuring that all clients' data (including verbal, wr...
obstetric ultrasonographyThe various types of sonography and the information provided when applied to obstetrics such as dating and growth of the pregnancy and visualising the fetus in its mother womb.
neonatologyThe branch of paediatric medicine concerned with the diagnosis and treatment of the new-born.

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What You Should Do Next

1

Assess your current skills against AI-resilient competencies

2

Start building skills in areas AI cannot easily replicate

3

Consider adjacent roles with lower disruption risk

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How AI Can Help You in This Role

AI disruption isn't all negative. Here's how AI can make this role more rewarding:

Productivity Boost

AI tools can automate repetitive tasks, freeing you to focus on higher-value strategic and creative work.

New Specialisations

As AI transforms this field, entirely new roles and career paths are emerging that combine domain expertise with AI fluency.

Higher Market Value

Professionals who can leverage AI effectively in this role command premium compensation and are in growing demand.

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