TL;DR
Will AI replace doctors?
A new study finds doctors who work with their hands are largely safe from AI, while those who mainly read scans and slides are most exposed. Your job likely splits the same way. List which parts of your work need hands, people or only a screen, and build skills in the first two.
What did the study find?
A team led by Stanford health economist Maria Polyakova, with colleagues at UC Berkeley and the U.S. Census Bureau, sorted nearly US$45 billion in 2023 Medicare payments to about 590,000 doctors in 56 specialties. The question was simple: does this service need physical contact with a patient? Their analysis appeared this month as a Perspective, an analysis piece rather than a forecast, in the journal NEJM AI.
Across all 56 specialties, according to Stanford's summary:
| Share of Medicare physician payments | What kind of work |
|---|---|
| 24% | Hands-on work AI can't do |
| 21% | Work AI could potentially do |
| 55% | Visits where it depends on how AI is built, used and paid for |
The extremes are stark. Dermatology bills 68% of its tracked revenue for physical procedures, orthopedic surgery 53% and ophthalmology 45%. At the other end, diagnostic radiology is 96% exposed and pathology 99%, because almost all their work is reading images and slides.
Why does hands-on work protect a job from AI?
Software can read a scan. It can't hold a scalpel or feel a swollen joint. The researchers wrote that robots may weaken that barrier over time, "Yet progress in hardware technology moves more slowly than software, so the current differences between specialties are likely to persist for at least several years."
That one line explains a lot of what's happening outside medicine too. Writing, sorting, summarizing and checking all happen on a screen, and that's where AI has moved fastest.
Does "exposed" mean those doctors lose their jobs?
No, and the authors are careful about this. On X, Uran Rogova summed it up: "Uncertain doesn't mean replaced. The authors say AI could substitute or complement there, depending on how it's built, deployed and paid for."
The biggest group, primary care, sits in that uncertain middle. Most doctors work there, and most of their work is visits: talking, examining briefly, deciding. Whether AI replaces some of that or makes those doctors faster depends on choices by hospitals, insurers and regulators. As Polyakova put it, the outcome is "shaped as much by how AI is designed, deployed, and reimbursed as by the technology itself."
Doctors are already asking these questions themselves. Residents on Reddit trade threads like "Which DR subspecialty is most AI resistant?", where DR means diagnostic radiology.
How do you apply this to your own job?
The study measured doctors only, so this part is our opinion. We think the same three-way split works for almost any job:
- Needs hands. A hairdresser, plumber, physical therapist or line cook. AI can book and bill, but it can't do the work.
- Needs judgment with people. Calming an upset client, closing a sale, deciding what a customer really wants. AI can help prepare, but people still expect a person.
- Pure screen work. Drafting, data entry, reading documents, basic design. This is where AI moves first.
Software moves faster than hardware, so the screen part of your job is where change shows up first.
Most jobs are a mix. A bookkeeper does screen work and client judgment. A shop owner does all three before lunch. Music is a live example of the split: read what AI songs mean for working musicians.
What should you do about it?
Write down a normal week and put each task into one of the three groups. Be realistic about how much is screen work. Then:
- Let AI take a slice of the screen work on purpose, so you learn the tools before someone else decides for you.
- Invest in the people part. Client relationships and judgment calls are hard to automate and easy to neglect.
- If your job is almost all screen work, add a skill that needs presence or trust, like client meetings, training others or hands-on service.
None of this needs panic. The study's own authors expect current differences to last several years. That's time to adjust on your terms.
For the bigger picture on AI and jobs, read our look at why the AI jobs numbers all change at once.
FAQ
Will AI replace radiologists?
The study says radiology and pathology are the specialties where replacement is plausible, because the work is almost all interpretation. It doesn't predict when or how many jobs.
Who wrote the study?
Dan Zeltzer of UC Berkeley, Stanford's Maria Polyakova (senior author), Stanford students Tyler Tam and Benji Bhattacharya, and Victoria Udalova of the U.S. Census Bureau.
Does this apply to nurses or other health workers?
The analysis covered physician payments only. Many nursing jobs are hands-on, but this study didn't measure them.
Why use Medicare data?
Medicare payments record each service a doctor bills, so researchers can see which ones need physical contact. It covers Medicare patients only, not all care.
Sources
- Stanford Health Policy: Study investigates which specialties are more at risk of AI substitution — November 2026. Method, 24/21/55 split, specialty figures, quotes.
- Zeltzer D, et al., "Physical Limits to AI Substitution across Physician Specialties," NEJM AI (DOI 10.1056/AIp2600957) — November 2026.
- Uran Rogova on X — November 13, 2026, 10:12pm ET.
- r/Residency: "Which DR subspecialty is most AI resistant?" — thread title via Google search.
