AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Midwives

Limited

AI agents could help with a focused set of planning and documentation tasks, while hands-on work and judgment remain human-led.

Where agents can help most

  1. 1

    Draft guidance for birth preparation and newborn care

    Use an agent to turn a patient’s pregnancy stage, planned birth setting, and questions into a plain-language teaching packet on labor, birth, postpartum recovery, newborn care, contraception, breastfeeding, and local support options.

  2. 2

    Plan nutrition and supplement follow-up

    Use an agent to organize a pregnancy nutrition check-in from the patient’s diet notes, supplement list, weight trend, and any recent hemoglobin, hematocrit, or blood glucose results.

  3. 3

    Monitor prenatal health and flag concerns

    Use an agent to compile each prenatal visit’s history, prior notes, lab results, and fetal check information into one running summary.

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O*NET-SOC 29-9099.01 · #439 of 923

Result context

How to read this result

Provide prenatal care and childbirth assistance.

National position
#439 of 923 occupations
Top 48% of occupations
Overall AI delegation potential
Limited
Potential of score-contributing workflows
Moderate · 67/100
Meaningful work covered
63%

The overall rating combines how useful the best agent workflows are with how much of the occupation they address. It is not an estimate of job automation or replacement.

Recommended agent uses

3 workflows you could delegate to AI

1

Draft guidance for birth preparation and newborn care

How you could use an agent

Use an agent to turn a patient’s pregnancy stage, planned birth setting, and questions into a plain-language teaching packet on labor, birth, postpartum recovery, newborn care, contraception, breastfeeding, and local support options. The agent can also draft a short checklist for preparing the birth site and a teach-back prompt list for your visit.

Where you stay involved

You review the packet for accuracy, choose what fits this patient, and decide whether anything needs a follow-up conversation or referral. You still handle the teaching, answer personal questions, and judge whether the patient understands and needs more help.

Review level: Medium

2

Plan nutrition and supplement follow-up

How you could use an agent

Use an agent to organize a pregnancy nutrition check-in from the patient’s diet notes, supplement list, weight trend, and any recent hemoglobin, hematocrit, or blood glucose results. The agent can draft a tailored reminder plan, note what to watch before the next visit, and create a simple follow-up summary for the chart.

Where you stay involved

You decide whether the nutrition plan makes sense, whether any supplement suggestion is appropriate, and whether the numbers or symptoms mean the patient needs a clinician review. You also talk through the plan and decide what changes to make.

Review level: Medium

3

Monitor prenatal health and flag concerns

How you could use an agent

Use an agent to compile each prenatal visit’s history, prior notes, lab results, and fetal check information into one running summary. The agent can flag changes in symptoms, blood pressure, growth concerns, or missing records so you can quickly see what needs attention at the next visit.

Where you stay involved

You examine the summary, confirm the findings, and decide whether the patient needs a closer look, more testing, or another clinician’s help. You still do the hands-on assessment and make the clinical judgment.

Review level: High

Supporting analysis

Why this occupation's AI delegation potential is Limited

Underlying methodology score

62 / 100

This technical score determines the qualitative rating; it is not an estimate of the share of the occupation that can be automated.

Importance & frequency82
AI capability68
Digital actionability69
End-to-end leverage62
Safety & reversibility52
Meaningful-work coverage
63%
Physical-work modifier
Limited
Safety modifier
Moderate
Qualitative judgment
No material constraint
O*NET task evidence
36 tasks

O*NET 31.0 · methodology 3.3.0. Every workflow passes an action-level physical-execution and protected human-and-veterinary clinical-action gate. Documentation workflows must own a complete digital loop and use digital task evidence only; support-only workflows are disclosed separately and excluded from scoring. Artistic, editorial, normative, and policy-dependent work receives a transparent human-judgment constraint. National ranking within 923 scored O*NET occupations under methodology 3.3.0.

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