Will AI replace Obstetricians and Gynecologists?

Not as a job, but it is already doing parts of the work. Across the 15 official task statements scored for Obstetricians and Gynecologists (United States, SOC 29-1218), 4% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 22 out of 100 (range 16–28, band: low). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.

Which tasks in “Obstetricians and Gynecologists” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Prepare government and organizational reports on birth, death, and disease statistics, workforce evaluations, or the medical status of individuals” (66/100, high); “Collect, record, and maintain patient information, such as medical histories, reports, or examination results” (42/100, partial); “Analyze records, reports, test results, or examination information to diagnose medical condition of patient” (40/100, partial). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.

Which tasks in “Obstetricians and Gynecologists” stay human?

About 73% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Perform cesarean sections or other surgical procedures as needed to preserve patients' health and deliver babies safely” (0/100, minimal); “Care for and treat women during prenatal, natal, and postnatal periods” (3/100, minimal); “Prescribe or administer therapy, medication, and other specialized medical care to treat or prevent illness, disease, or injury” (4/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.

What should someone working in “Obstetricians and Gynecologists” do about AI?

Start from the ledger rather than the headline: 4% of this job's weighted core work is exposed, and roughly 73% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.

How is the AI exposure score for Obstetricians and Gynecologists calculated?

Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 15 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

US dataswitch to UK

Obstetricians and Gynecologists

treating diseases of female organs, explaining procedures and discussing test results or prescribed treatments with patients and prescribing or administering therapy. If that's your week, this page is about your job.

The honest answer

AI changes the edges of this job, not the middle: treating diseases of female organs is work software can't reach.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 4%
changing shape: 23%
staying human: 73%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

Whole-job exposure score 22 out of 100 (16–28 allowing for uncertainty): low exposure, across 15 scored tasks. The number is the support for the sentence above it, not a headline about anyone’s future.

How we know this

What is measured: Every published task statement for obstetricians and gynecologists is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-05. Read the full method.

What shifts is preparing government and organizational reports on birth. This page scores what today's tools actually do, not headlines.

Your week, as this page understands it

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. The job title says “obstetricians” or “gynecologists”: officially one job, two names. The real job is the part underneath: treating diseases of female organs. That is the thing someone has to be right about.

The exposed part of this job is specific, and we won’t pretend it is coming back. But obstetricians and gynecologists is not one task. It is 15 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is treating diseases of female organs, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 4%
changing shape: 23%
staying human: 73%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

How we know this

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-05. Read the full method.

Your job, task by task

These are the official task statements for this occupation, in plain English, sorted by what the evidence says is happening to each one. The official wording sits under every line so you can check the rewrite against it.

8 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Shifting to AI

1 task

Tasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.

Preparing government and organizational reports on birth
This is reading one thing and writing another: government in, a record out. That is the shape today's tools are built for.
importance 3 · Core
Source: “Prepare government and organizational reports on birth, death, and disease statistics, workforce evaluations, or the medical status of individuals.” (O*NET task statement)
How this row was scored
Exposure score: 66 out of 100 (62–70 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Preparing statistical reports on births, deaths and disease is data and writing work software does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

Changing shape

3 tasks

Tasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.

Analyzing records, reports, test results or examination information to diagnose medical condition of patient
The software now makes the first pass at records, reports, test results or examination information, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 5 · Core
Source: “Analyze records, reports, test results, or examination information to diagnose medical condition of patient.” (O*NET task statement)
How this row was scored
Exposure score: 40 out of 100 (33–47 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Software reads test results and records well, but the law puts the diagnosis itself in the hands of a licensed doctor.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 3/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Collecting, recording and maintaining patient information, such as medical histories, reports or examination results
The software now makes the first pass at patient information, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 5 · Core
Source: “Collect, record, and maintain patient information, such as medical histories, reports, or examination results.” (O*NET task statement)
How this row was scored
Exposure score: 42 out of 100 (35–49 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Recording histories, reports and results is documentation software drafts and files well.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Referring patient to medical specialist or other practitioner
The software now makes the first pass at patient, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Refer patient to medical specialist or other practitioner when necessary.” (O*NET task statement)
How this row was scored
Exposure score: 40 out of 100 (33–47 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Working out which specialist a patient needs follows clear criteria, but the referral itself must come from a licensed doctor.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 3/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.

Staying human

11 tasks

Tasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.

Treating diseases of female organs
This work happens in the physical world: diseases of female organs, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Treat diseases of female organs.” (O*NET task statement)
How this row was scored
Exposure score: 4 out of 100 (0–8 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Treating disease means examining and physically caring for a patient, and only a licensed doctor may do it.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 4/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Explaining procedures and discussing test results or prescribed treatments with patients
The rules require a named, qualified person to answer for procedures, and that person cannot be a piece of software.
importance 5 · Core
Source: “Explain procedures and discuss test results or prescribed treatments with patients.” (O*NET task statement)
How this row was scored
Exposure score: 18 out of 100 (11–25 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Results and treatment plans can be written up clearly, but hearing them from your own doctor is much of the point.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 2/4 · needs to be trusted in the moment 3/4 · how much data exists 3/4.
Prescribing or administering therapy, medication and other specialized medical care to treat or prevent illness, disease or injury
This work happens in the physical world: therapy, medication and other specialized medical care, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Prescribe or administer therapy, medication, and other specialized medical care to treat or prevent illness, disease, or injury.” (O*NET task statement)
How this row was scored
Exposure score: 4 out of 100 (0–8 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Prescribing and giving treatment is legally a licensed doctor's act, and much of it is physical.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 4/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Monitoring patients' conditions and progress and reevaluate treatments
The rules require a named, qualified person to answer for patients' conditions, and that person cannot be a piece of software.
importance 5 · Core
Source: “Monitor patients' conditions and progress and reevaluate treatments as necessary.” (O*NET task statement)
How this row was scored
Exposure score: 19 out of 100 (12–26 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Tracking progress can be automated in part, but changing treatment is a licensed clinical decision.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 3/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Consulting with or providing consulting services to other physicians
The rules require a named, qualified person to answer for or providing consulting services, and that person cannot be a piece of software.
importance 5 · Core
Source: “Consult with or provide consulting services to other physicians.” (O*NET task statement)
How this row was scored
Exposure score: 13 out of 100 (6–20 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Consulting between doctors is a professional exchange of judgment between qualified people.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 3/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Caring for and treating women during prenatal
This work happens in the physical world: and treating women during prenatal, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Care for and treat women during prenatal, natal, and postnatal periods.” (O*NET task statement)
How this row was scored
Exposure score: 3 out of 100 (0–7 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Pregnancy and birth care is hands-on medical work built on a doctor's ongoing relationship with the patient.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 4/4 · needs to be trusted in the moment 3/4 · how much data exists 3/4.

Show the other 5 tasks

Advising patients and community members concerning diet
staying human
The value here is that a specific person handles patients and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Advise patients and community members concerning diet, activity, hygiene, and disease prevention.” (O*NET task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: General advice on diet, exercise and prevention is abundantly documented and easy for software to tailor.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 4/4.
Planning, implementing or administering health programs in hospitals, businesses or communities for prevention and treatment of injuries or illnesses
staying human
The value here is that a specific person handles health programs and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Plan, implement, or administer health programs in hospitals, businesses, or communities for prevention and treatment of injuries or illnesses.” (O*NET task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Health program planning is document work, though setting one up in a hospital or community involves people.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Directing and coordinating activities of nurses
staying human
The value here is that a specific person handles activities of nurses and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Direct and coordinate activities of nurses, students, assistants, specialists, therapists, and other medical staff.” (O*NET task statement)
How this row was scored
Exposure score: 15 out of 100 (8–22 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Running a clinical team day to day depends on being present with the people doing the work.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Conducting research to develop or test medications
staying human
This work happens in the physical world: research, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Conduct research to develop or test medications, treatments, or procedures to prevent or control disease or injury.” (O*NET task statement)
How this row was scored
Exposure score: 12 out of 100 (5–19 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Clinical research means running real trials with real people and materials, not just analyzing the results.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Performing cesarean sections or other surgical procedures as needed to preserve patients' health and deliver babies safely
staying human
This work happens in the physical world: cesarean sections, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Perform cesarean sections or other surgical procedures as needed to preserve patients' health and deliver babies safely.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Surgery is physical work only a licensed surgeon can perform.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 4/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.

What this job pays, and how many people do it

Median pay: $292,910a year, the middle of the range, so half earn more and half earn less.bls-oews, 2025 · May 2025 estimates (national_M2025_dl.xlsx)
How we know this
Source: bls-oews
Reference period: May 2025 estimates (national_M2025_dl.xlsx)
Rounding: Shown as published.
People doing this job: 21,260in the US, 2025.bls-oews · May 2025 estimates (national_M2025_dl.xlsx)

What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.

Why this is shifting

The reason is boringly specific. Most of what is shifting here is reading one thing and writing another: records, reports, test results or examination information in, a record out. The rows above are exactly that shape: preparing government and organizational reports on birth and analyzing records, reports, test results or examination information to diagnose medical condition of patient. What it cannot do is be answerable: diseases of female organs need a named person the rules will accept, and software cannot be that person. Which is why this page talks about your tasks changing, not your job ending.

Your move

Over a pint: what I’d tell you if you were my friend

Start with what does not change: treating diseases of female organs is the middle of this job, and the evidence on this page says it stays with a person.

So, given all that: 4% of this job's task weight sits in rows the software is already learning, 23% in rows that change shape rather than disappear, and 73% in rows it is nowhere near. That is the position, measured across 15 scored tasks. It is not a forecast about you.

So the thing worth your attention is not the job going away. It is the layer around it. Preparing government and organizational reports on birth is the part turning into software, and being the person who understands that layer is worth money.

This week: one thing

Ask the one question. Find whoever is bringing new software into your workplace (the manager, the office, whoever runs the system) and ask them what it is meant to do to records, reports, test results or examination information, and what it is not meant to touch. Ten minutes, this week, before anyone decides it for you.

What you end up holding: a straight answer about what is actually being rolled out, and when
How long it takes: ten minutes

If there’s nobody obvious to ask, or you’d rather not ask your manager: Put the same question to your union rep, your shift lead or the person who has been there longest, in person, over a break. Same ten minutes, same answer, and you will usually get a straighter one. Write down what they say. The note is the artifact, and it tells you whether diseases of female organs are in scope or not. Nothing to log into, no license needed.

Over the next 90 days

Get inside the tool rollout rather than waiting for it. Over the next ninety days, ask to be in the group that tests, checks or signs off whatever new system arrives near analyzing records, reports, test results or examination information to diagnose medical condition of patient. It is usually an unglamorous seat that nobody fights for, and it is the one that decides how the software is used on your job rather than to it.

Over the next 12 months

On this evidence I would not retrain out of this job, and I will say that plainly rather than hedge it. The task list here is dominated by work that stays with a person. What I would do with a year is get formally recognised for the layer around it (the systems, the compliance, the planning), so you are the one who understands the software instead of the one it is done to. Before you pay for anything, use CareerOneStop - Find local training. It is free, it is the Labor Department's own service, and it is listed below with the rest of the free routes.

The roads out of here, and why I am not sending you down them

I looked at the obvious moves out of this job, and here is what I found.

I checked the 12 nearest US occupations to obstetricians and gynecologists (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was family medicine physicians: it pays 16.6% less. And on the numbers you do not need one. This job scores 22/100 here, with only 4% of the task list in the top band, and “treat diseases of female organs” is not work that hands over cleanly. None of them beats deepening what you already have.

How that was checked: this job was compared against all 830 US occupations in this release on their official task statements, and the 12 nearest were examined one by one. A move that turns on an industry, an employer or a qualification rather than on the work itself will not show up in a check like that. And this release carries no licence register, so anything you are weighing needs that looked up separately.

3 moves I checked and rejected

These are the obvious-looking jumps. They are here with their reasons rather than quietly dropped, because the ones that fail are worth knowing about. It is one less thing to turn over at night.

Family Medicine Physicians
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already prescribe or administer therapy, medication, and other specialized medical care to treat or…, and their equivalent is to prescribe or administer treatment, therapy, medication, vaccination, and other specialized medical care to…. Across both published task lists that is about 62% of the durable work in that job.
Why I am not recommending it: It is a pay cut, in those words: $244,180 against your $292,910, 16.6% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →
Pediatricians, General
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “monitor patients' conditions and progress and reevaluate treatments as necessary”. Across the whole of both lists that adds up to about 52% of the work in that job the software is not taking.
Why I am not recommending it: It is a pay cut, in those words: $210,040 against your $292,910, 28.3% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →
General Internal Medicine Physicians
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already prescribe or administer therapy, medication, and other specialized medical care to treat or…, and their equivalent is to prescribe or administer medication, therapy, and other specialized medical care to treat or…. Across both published task lists that is about 52% of the durable work in that job.
Why I am not recommending it: It is a pay cut, in those words: $256,560 against your $292,910, 12.4% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →

What I’d stop worrying about

A friend tells you what not to spend fear on. This is that list.

The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 4% of its task weight, across 15 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The headlines about your trade disappearing
They are usually about the technology, not the timetable. Changes to work like treating diseases of female organs arrive through rules, insurance and money, slowly and visibly. This page tracks the task evidence and will move when it moves.
Retraining out of a job that is holding up
On this evidence I would not spend money leaving. Spend it on the layer around the job instead: the tools, the paperwork, the planning. That is where the change actually is.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.

You are reading the United States figures

The United Kingdom splits this work across more than one official group, of which Specialist medical practitioners and consultants is the closest. The pay and employment figures are not directly comparable, and we do not average them together.

Switch to the United Kingdom page →partial match

In UK official statistics this job is counted as Specialist medical practitioners and consultants. Pay and employment stay on this page’s own group; the task list and the scores do not cross over.

Your route through this

Where to go next, and what it costs

Free, and complete

The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.

Anywhere in the US:
CareerOneStop - Find local training
Search what's running near you, from the Labor Department's own database, before anyone sells you a course.
Free to search; individual programs vary, and some are funded
Anywhere in the US:
American Job Center locator
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
- CareerOneStop local help hub
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
CareerOneStop
Free

Why there is no community here

Collab365, who build this site, run paid Spaces for a small number of subjects, and none of them is built for this job. We are not going to point you at the nearest one and call it a fit.

So the free services listed on this page are the whole answer, and it is the same answer we would give a friend.

Noted, and thank you. We’ll email you if a Space for obstetricians / gynecologists launches. Nothing else.

That did not look like an email address, so nothing was saved. Have another go below.

We could not save that. The fault is ours, not yours, and your address was not stored. Please try again later.

No Space for obstetricians / gynecologists yet. Should there be one?

Collab365 Spaces is built by the same people as this site. We find the problems that AI and automation are creating inside one kind of work, then solve them as short courses, briefings and Blueprints. Each Space is the community too, so the research and the people doing your job are in the same place.

What a Space actually is, in full

Collab365 launches new communities where the need is real. If one for obstetricians / gynecologists existed, with researched problems, courses and people in the same boat, would you want in?

Your email

We use your email address for one thing: to tell you if a Space for obstetricians / gynecologists launches. We never sell it, never use it for unrelated marketing, and every email has a one-click unsubscribe. Our privacy policy has the full version.

This unlocks nothing. Every figure, every row and every step on this page is already yours, whether you fill this in or not.

No deadline on any of this. The page will still be here, and the data is refreshed on a published schedule rather than when someone wants a headline.

Questions people ask about this job

Will AI replace Obstetricians and Gynecologists?: Not as a job, but it is already doing parts of the work. Across the 15 official task statements scored for Obstetricians and Gynecologists (United States, SOC 29-1218), 4% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 22 out of 100 (range 16–28, band: low). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
Which tasks in “Obstetricians and Gynecologists” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Prepare government and organizational reports on birth, death, and disease statistics, workforce evaluations, or the medical status of individuals” (66/100, high); “Collect, record, and maintain patient information, such as medical histories, reports, or examination results” (42/100, partial); “Analyze records, reports, test results, or examination information to diagnose medical condition of patient” (40/100, partial). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
Which tasks in “Obstetricians and Gynecologists” stay human?: About 73% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Perform cesarean sections or other surgical procedures as needed to preserve patients' health and deliver babies safely” (0/100, minimal); “Care for and treat women during prenatal, natal, and postnatal periods” (3/100, minimal); “Prescribe or administer therapy, medication, and other specialized medical care to treat or prevent illness, disease, or injury” (4/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
What should someone working in “Obstetricians and Gynecologists” do about AI?: Start from the ledger rather than the headline: 4% of this job's weighted core work is exposed, and roughly 73% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.
How is the AI exposure score for Obstetricians and Gynecologists calculated?: Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 15 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

Where these numbers come from

Worth knowing about these figures

The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
8 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Task statements: onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
Task weights: onet-db (im-rt)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
Pay and employment: bls-oews (May 2025 estimates (national_M2025_dl.xlsx))bls-oews (May 2025 estimates (national_M2025_dl.xlsx))

Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.

The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.

The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.

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Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.

Plain text

Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).

BibTeX

@misc{collab365futureproof2026q41,
  title        = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
  author       = {{Collab365}},
  year         = {2026},
  url          = {https://futureproof.collab365.com/data/2026-q4.1},
  note         = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}

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https://futureproof.collab365.com/data/2026-q4.1

Data as of release 2026-q4.1, published 2026-08-05. Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.