As of August 2026, Obstetricians and Gynecologists has an AI-exposure score of 48/100 (Moderate exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026). BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Obstetricians and Gynecologists

48/100
Moderate exposure
LowModerateElevatedHighVery High

More exposed than 26% of the roles we track. Median pay ~US$292,910. About 600 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

Will AI replace Obstetricians and Gynecologists?

No exposure score can predict whether AI will replace this role. The 48/100 score means our current model estimates moderate task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role is in our Moderate exposure band, not our highest-exposure bands. The study's 16% finding should not be applied directly to this role.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Provide medical care related to pregnancy or childbirth. Diagnose, treat, and help prevent diseases of women, particularly those affecting the reproductive system. May also provide general care to women. May perform both medical and gynecological surgery functions.

Common titles
MD (Medical Doctor)OBGYN (Obstetrician and Gynecologist)OBGYN Physician (Obstetrics and Gynecology Physician)PhysicianGYN (Gynecologist)OB (Obstetrician)
O*NET job-zone preparation
Job Zone 5 · Extensive Preparation Needed Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree). Extensive skill, knowledge, and experience are needed for these occupations. Many require more than five years of experience.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Critical ThinkingReading ComprehensionActive LearningComplex Problem SolvingMonitoringSpeaking
Work context
Indoor controlled settingFrequent contact with othersDecision latitudeConsequence of errorRepeating tasks

Source: O*NET 29.1 exact occupation - Obstetricians and Gynecologists, SOC 29-1218.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Obstetricians and Gynecologists tasks, by AI exposure

Automatable
  • Collect, record, and maintain patient information, such as medical histories, reports, or examination results.
Augmentable
  • Analyze records, reports, test results, or examination information to diagnose medical condition of patient.
  • Direct and coordinate activities of nurses, students, assistants, specialists, therapists, and other medical staff.
9 more augmentable tasks locked in the report.
Durable
  • Conduct research to develop or test medications, treatments, or procedures to prevent or control disease or injury.
  • Advise patients and community members concerning diet, activity, hygiene, and disease prevention.
1 more durable task locked in the report.

We analyzed all 15 Obstetricians and Gynecologists tasks - 1 automatable, 11 augmentable and 3 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

This role is already among lower-exposure work. The adjacent paths below are shown for opportunity and skill transfer, not as lower-exposure alternatives.

General Internal Medicine Physicians
80% skills overlap; 5 points higher - similar exposure within the 5-point model resolution; Elevated band; ~US$256,560
View path
53
6 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

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

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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Obstetricians and Gynecologists - median pay by US state (BLS OEWS, USD)

New York: US$348,800California: US$301,240Texas: US$271,960

Median annual wage, in USD. US national: US$292,910. More states are being added.

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