Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.
AI Resilience Report for
They care for women's health, especially during pregnancy and childbirth, by diagnosing and treating issues and ensuring healthy pregnancies and safe deliveries.
This role is stable
This career is considered "Stable" because the personal care and communication aspects of being an obstetrician or gynecologist are things that AI can't replace. Doctors spend a lot of time talking with patients, explaining procedures, and making important care decisions, which require a human touch.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is stable
This career is considered "Stable" because the personal care and communication aspects of being an obstetrician or gynecologist are things that AI can't replace. Doctors spend a lot of time talking with patients, explaining procedures, and making important care decisions, which require a human touch.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Ob/Gyn
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Obstetricians and gynecologists do lots of personal care, so most AI support today is behind the scenes. For example, researchers have built AI programs that help analyze pregnancy images faster. AI can look at ultrasound scans or fetal monitors (CTG) to flag possible issues automatically [1] [1].
Some clinics even use online chatbots to triage patients – deciding if someone needs to see a doctor in person [1]. These tools are like helpers: they process data quickly so doctors don’t miss things. In contrast, tasks that require talking with patients are still done by humans.
According to O*NET, OB/GYNs spend much of their time “explaining procedures and discussing test results or prescribed treatments” and “prescribing…therapy, medication” [2]. Right now AI can give general health tips, but it can’t sit with a patient, answer personal questions, or make final care decisions. In short, AI may augment jobs (for example, spotting patterns in scans) but is not automating the heart-to-heart parts of an OB/GYN’s work [1] [2].

AI in the real world
Whether hospitals adopt AI quickly depends on costs, rules, and trust. Big benefits could come from letting AI handle routine data tasks – for example, the US healthcare system spends over 30% of its budget on paperwork [1], and AI might cut that. Some health systems are already funding AI tools: the UK’s NHS announced it would start paying for AI-based care in 2020 [1], and China even covers AI doctor-advice apps [1].
On the other hand, healthcare is slow to change. Hospitals must prove an AI tool really works, and often insurance must agree to pay for it [1]. Doctors also worry about data privacy and legal liability if an AI is wrong [1].
Finally, patients expect human care in childbirth and women’s health. For these reasons, AI is likely to be used cautiously. It will help with data (making scans or records easier) but the doctor’s role in talking through results, prescribing treatment, and caring for patients remains key [2] [1].
This mix of humans and AI can improve care over time, letting doctors focus on the human side of medicine.

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Jobs (2024)
21,500
Growth (2024-34)
+1.2%
Annual Openings
600
Education
Doctoral or professional degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Perform cesarean sections or other surgical procedures as needed to preserve patients' health and deliver babies safely.
Treat diseases of female organs.
Prescribe or administer therapy, medication, and other specialized medical care to treat or prevent illness, disease, or injury.
Explain procedures and discuss test results or prescribed treatments with patients.
Plan, implement, or administer health programs in hospitals, businesses, or communities for prevention and treatment of injuries or illnesses.
Monitor patients' conditions and progress and reevaluate treatments as necessary.
Advise patients and community members concerning diet, activity, hygiene, and disease prevention.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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