Will AI replace Obstetricians and Gynecologists?
Estimated risk score: 46 out of 100
Moderate replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (27 to 65).
For the occupation as a whole, from ratings of its 15 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 29-1218.00 · Healthcare Practitioners and Technical
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 3 of its 15 rated tasks. In O*NET’s words.
- Advise patients and community members concerning diet, activity, hygiene, and disease prevention.
- Collect, record, and maintain patient information, such as medical histories, reports, or examination results.
- Prepare government and organizational reports on birth, death, and disease statistics, workforce evaluations, or the medical status of individuals.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 3 of its 15 rated tasks. In O*NET’s words.
- Perform cesarean sections or other surgical procedures as needed to preserve patients' health and deliver babies safely.
- Treat diseases of female organs.
- Care for and treat women during prenatal, natal, and postnatal periods.
What the job is
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.
Also called: OBGYN (Obstetrician and Gynecologist), OBGYN Physician (Obstetrics and Gynecology Physician), OB, GYN, OBGYN, OB/GYN, OBGYN MD, OBGYN Doctor.
Closest jobs we score by hand
In the same field (Healthcare Practitioners and Technical). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate