SOC 29-1218

Obstetricians and Gynecologists AI displacement risk

Delivering babies and performing gynecologic surgery are high-acuity physical procedures with two patients at risk. Fetal monitoring AI and documentation tools assist; the delivery room and operating room keep a surgeon present and accountable.

Exposure32

Share and intensity of work current AI systems can materially affect.

Automation12%

Likely potential for exposed tasks to move to software after workflow integration.

Risk bandLow

Labor monitoring algorithms assist triage, but obstetric emergencies escalate in minutes and require surgical response. Maternity care deserts are growing, which makes this specialty's constraint supply, not automation.

Distribution

Where Obstetricians and Gynecologists sits across 620 tracked roles

Obstetricians and Gynecologists · 14050100

Displacement pressure 14 — higher than 8% of the 620 occupations tracked on displacement.ai.

Score version

This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.

15 O*NET task statements matched to SOC 29-1218. The displayed task profile combines these official task statements with the current public score model.

Median wage context: $292,910 (May 2025, US national). The latest BLS row matched SOC 29-1218.

Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.

2030 economic stress test

How Anthropic's scenarios classify Obstetricians and Gynecologists

SOC 29-1218 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 14/100 role score and are not an occupation forecast.

Modest change

+0.4% group wage

-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.

Economy-wide: +1.6% GDP and 3.9% unemployment.

Substantial change

-0.3% group wage

-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.

Economy-wide: +8.3% GDP and 4.6% unemployment.

Extreme change

-11.5% group wage

-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.

Economy-wide: +32.4% GDP and 11.9% unemployment.

Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.

Official task evidence

O*NET task matches for Obstetricians and Gynecologists

The current evidence import matched 15 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.

Dataset31.0 (August 2026)
Matched tasks15
SOC29-1218
  • Core task / ID 7806

    Treat diseases of female organs.

  • Core task / ID 7804

    Care for and treat women during prenatal, natal, and postnatal periods.

  • Core task / ID 7810

    Analyze records, reports, test results, or examination information to diagnose medical condition of patient.

  • Core task / ID 7808

    Perform cesarean sections or other surgical procedures as needed to preserve patients' health and deliver babies safely.

  • Core task / ID 7811

    Collect, record, and maintain patient information, such as medical histories, reports, or examination results.

  • Core task / ID 7805

    Explain procedures and discuss test results or prescribed treatments with patients.

Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.

Task profile

Where AI changes the work

physical

Deliver babies and perform surgery

Exposure 14, automation 4%, augmentation 30%.

O*NET evidence: Perform cesarean sections or other surgical procedures as needed to preserve patients' ... (ID 7808)

analytical

Monitor pregnancy and fetal health

Exposure 34, automation 14%, augmentation 62%.

analytical

Diagnose and treat conditions

Exposure 32, automation 12%, augmentation 60%.

O*NET evidence: Analyze records, reports, test results, or examination information to diagnose medical ... (ID 7810)

social

Counsel patients on care decisions

Exposure 24, automation 7%, augmentation 48%.

TaskExposureAutomationAugmentation
Deliver babies and perform surgery144%30%
Monitor pregnancy and fetal health3414%62%
Diagnose and treat conditions3212%60%
Counsel patients on care decisions247%48%

Transition pathways

Adjacent moves that preserve existing skills

credentialed transition

Maternal-Fetal Medicine Specialist

Training horizon: 24-36 months. Skill overlap 72. Wage preservation signal 124.

  • Complete MFM fellowship
  • Build high-risk pregnancy expertise
  • Master advanced ultrasound
Low
role redesign

Labor and Delivery Medical Director

Training horizon: 3-8 months. Skill overlap 70. Wage preservation signal 108.

  • Own delivery outcome metrics
  • Lead safety protocols
  • Guide monitoring tool adoption
Low

Comparison guides

Compare the next move before you commit

What the AI risk score means for Obstetricians and Gynecologists

The displacement pressure score for Obstetricians and Gynecologists is 14. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.

For this role, the clearest risk pattern is visible at the task level. Monitor pregnancy and fetal health carries 14% automation pressure, while Monitor pregnancy and fetal health carries 62% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.

Labor-market context and wage risk

Median wage: $292,910 (May 2025, US national). Employment context: Women's health specialty with maternity-care shortages. Typical education: Doctoral degree plus OB-GYN residency and board certification.

Wage vulnerability is 20, while transition feasibility is 62. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.

  • Very low displacement pressure
  • Maternity care shortages are growing
  • Monitoring AI assists triage

Upskilling priorities

Skills that make this role more resilient

The safest upskilling plan starts with skills already close to the work. For Obstetricians and Gynecologists, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.

Priority 1

Obstetric surgery

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 2

Fetal monitoring interpretation

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 3

Diagnostic judgment

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 4

Patient counseling

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

90-day transition plan

The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.

  1. In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
  2. By 60 days, complete one small project connected to Maternal-Fetal Medicine Specialist, such as complete mfm fellowship.
  3. By 90 days, compare internal openings and external postings for Maternal-Fetal Medicine Specialist or Labor and Delivery Medical Director and update your resume around measurable workflow outcomes.

FAQ

Questions about AI and Obstetricians and Gynecologists

Will AI replace Obstetricians and Gynecologists?

Delivering babies and performing gynecologic surgery are high-acuity physical procedures with two patients at risk. Fetal monitoring AI and documentation tools assist; the delivery room and operating room keep a surgeon present and accountable. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.

Which parts of Obstetricians and Gynecologists work are most exposed to AI?

Monitor pregnancy and fetal health and Diagnose and treat conditions show the strongest automation pressure in this model. Monitor pregnancy and fetal health and Diagnose and treat conditions are better treated as AI-augmented work.

What should Obstetricians and Gynecologists learn next?

Start with Obstetric surgery, Fetal monitoring interpretation, Diagnostic judgment. The most practical adjacent paths in this model are Maternal-Fetal Medicine Specialist and Labor and Delivery Medical Director.

How should this score be used?

Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.

Sources

Evidence trail