Will AI replace Nurse Midwives?
Work in Nurse Midwives sits in the in-between: AI reaches some of it (~39% in theory) but is only measured doing about 5% today — part human, part machine.
O*NET-SOC 29-1161
How your 20 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~39%). By late 2025, real-world AI use had reached about 5% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~39%), real-world use (~5%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 20 tasks, ratedBased on real task-level AI scores — click to collapse
- Document patients' health histories, symptoms, physical conditions, or other diagnostic information.
- Explain procedures to patients, family members, staff members or others.
- Document findings of physical examinations.
- Write information in medical records or provide narrative summaries to communicate patient information to other health care providers.
- Prescribe medications as permitted by state regulations.
- Develop and implement individualized plans for health care management.
- Order and interpret diagnostic or laboratory tests.
- Consult with or refer patients to appropriate specialists when conditions exceed the scope of practice or expertise.
- Read current literature, talk with colleagues, or participate in professional organizations or conferences to keep abreast of developments in midwifery.
- Establish practice guidelines for specialty areas such as primary health care of women, care of the childbearing family, and newborn care.
- Plan, provide, or evaluate educational programs for nursing staff, health care teams, or the community.
- Conduct clinical research on topics such as maternal or infant health care, contraceptive methods, breastfeeding, and gynecological care.
- Provide prenatal, intrapartum, postpartum, or newborn care to patients.
- Monitor fetal development by listening to fetal heartbeat, taking external uterine measurements, identifying fetal position, or estimating fetal size and weight.
- Provide patients with direct family planning services, such as inserting intrauterine devices, dispensing oral contraceptives, and fitting cervical barriers, including cervical caps or diaphragms.
- Initiate emergency interventions to stabilize patients.
- Educate patients and family members regarding prenatal, intrapartum, postpartum, newborn, or interconception care.
- Perform physical examinations by taking vital signs, checking neurological reflexes, examining breasts, or performing pelvic examinations.
- Provide primary health care, including pregnancy and childbirth, to women.
- Instruct student nurse midwives, medical students, or residents on the birthing process.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.