Nurse anesthetists, nurse midwives, and nurse practitioners

AI Overlap Index
32.7 / 100
Selectively Exposed

Physical, social, or oversight-heavy work that AI augments rather than replaces.

SOC · Healthcare

Bureau of Labor Statistics
Median pay
$132,050/yr
Hourly
$63/hr
Jobs 2024
382,700
Projected 2034
516,700
10-yr outlook
+35% · Much faster than average
Employment change
134,000
Entry education
Master's degree
SOC code

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
32.4
contribution to AOI: 19.4
Automation Potential weight 10%
50.0
contribution to AOI: 5.0
Market Pressure weight 15%
30.0
contribution to AOI: 4.5
Entry Barrier Erosion weight 15%
25.0
contribution to AOI: 3.8

By seniority

multiplicative adjustment from category curve

Entry
36.0
mult 1.10x
Mid
32.7
mult 1.00x
Senior
26.8
mult 0.82x

Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.

Task-level analysis

scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance

11 tasks · model: claude-sonnet-4-5-20250929
Supporting t11

Conduct research or teach staff about policies and procedures

AI can synthesize research literature, generate policy summaries, create training materials, and deliver standardized educational content. For routine policy teaching and research synthesis, AI handles most work autonomously, though humans review outputs and manage complex research design or sensitive policy implementation.

BLS evidence: APRNs 'conduct research' and 'some APRNs also conduct research or teach staff about new policies or procedures.'

75
automation
Supporting t10

Take and record patients' medical histories and symptoms

AI can conduct structured history-taking through conversational interfaces, transcribe and organize patient narratives, and extract relevant symptoms into standardized formats. While human review ensures accuracy and captures nuance, AI can autonomously handle most routine history documentation with batch oversight.

BLS evidence: APRNs 'take and record patients' medical histories and symptoms' as part of their typical duties.

72
automation
Important t6

Order and evaluate diagnostic tests and laboratory results

AI excels at interpreting lab values, imaging studies, and diagnostic patterns against clinical guidelines, and can flag abnormalities and suggest follow-up tests. Human review remains necessary for integration with clinical context and final decision-making, but AI substantially reduces labor content.

BLS evidence: APRNs 'perform and order diagnostic tests' and are 'trained to do other tasks, including ordering and evaluating test results.'

68
automation
Important t8

Consult with physicians and other healthcare professionals on patient care

AI can synthesize patient data, suggest consultation points, and draft care coordination messages, making consultations more efficient. However, the collaborative decision-making, negotiation of treatment approaches, and professional relationship management require human clinicians, with AI augmenting preparation and documentation.

BLS evidence: APRNs 'consult with doctors and other healthcare professionals, as needed' and 'work independently or in collaboration with physicians.'

52
automation
Important t7

Counsel and educate patients and families on health management and disease prevention

AI can generate personalized health education content and answer common questions, but effective counseling requires reading patient emotional states, adapting communication styles, building trust, addressing health literacy barriers, and motivational interviewing skills that keep humans central to the interaction.

BLS evidence: APRNs 'counsel and teach patients and their families how to stay healthy or manage their illnesses or injuries' and nurse midwives 'provide wellness care, educating their patients on how to lead healthy lives.'

48
automation
Core t2

Prescribe medications and treatments to patients

AI can recommend evidence-based prescriptions and flag contraindications, but prescribing requires legal authority, patient-specific risk assessment, consideration of adherence factors, and liability that necessitates human clinical judgment as the primary actor with AI assistance.

BLS evidence: In most states, APRNs 'can prescribe medications' and 'give patients medicines and treatments.'

42
automation
Core t1

Diagnose health problems and determine appropriate treatment plans

AI can assist with differential diagnosis and suggest treatment plans based on symptoms and guidelines, but clinical diagnosis requires physical examination skills, real-time patient interaction, nuanced judgment about complex presentations, and accountability that keeps humans load-bearing in the decision process.

BLS evidence: APRNs 'diagnose various health problems' and 'analyze test results or changes in a patient's condition and alter treatment plans, as needed.'

35
automation
Core t4

Administer anesthesia and monitor patients during surgical procedures

Administering anesthesia requires real-time airway management, IV placement, physical monitoring of patient responses, immediate intervention for complications, and fine motor skills in high-stakes medical contexts that AI-robotics cannot safely execute autonomously.

BLS evidence: Nurse anesthetists 'administer anesthesia and provide care before, during, and after surgical, therapeutic, diagnostic, and obstetrical procedures' and 'monitor the patient's vital signs and adjust the anesthesia as necessary.'

12
automation
Important t9

Provide gynecological exams and family planning services

Gynecological exams require speculum insertion, bimanual palpation, visual inspection, Pap smear collection, and IUD placement—physical examination and procedural skills in sensitive contexts that demand human touch, patient comfort management, and dexterity AI-robotics cannot provide.

BLS evidence: Nurse midwives 'provide care to women, including gynecological exams, family planning services, and prenatal care.'

10
automation
Core t3

Perform physical examinations and assess patient conditions

Physical examinations require hands-on palpation, auscultation, percussion, assessment of skin turgor, lymph nodes, reflexes, and other tactile/observational skills in unpredictable patient presentations that current AI-robotics systems cannot perform at clinical standards.

BLS evidence: APRNs 'perform physical exams and observe patients' and 'assess patients, determine how to improve or manage a patient's health.'

8
automation
Core t5

Deliver babies and manage labor and delivery processes

Labor and delivery management requires physical presence for fetal monitoring, vaginal examinations, perineal support during delivery, immediate neonatal resuscitation, management of obstetric emergencies, and hands-on skills in unpredictable high-stakes situations that AI cannot perform.

BLS evidence: Nurse midwives 'deliver babies, manage emergency situations during labor, repair lacerations, and may provide surgical assistance to physicians during cesarean births.'

5
automation

Task heatmap

automation score by task, sorted by weighted contribution

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External signals and sources

category-level priors and BLS fields that feed the four non-task signals

Automation Potential
50
karpathy 5/10
  • Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
Market Pressure
30
outlook: Much faster than average
  • BLS projected outlook: Much faster than average (35%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
25
ed: Master's degree
  • BLS typical entry-level education: Master's degree
  • Credential trend signal (annual refresh)

Related in Healthcare

closest AOI neighbors in the same category