Will AI replace doctors?

This page is about the job market for physicians. It is not medical advice and makes no claims about any AI tool's medical accuracy.

Physicians today: the official numbers

From the Bureau of Labor Statistics Occupational Outlook Handbook (updated August 27, 2026):

	Physicians and surgeons
Jobs in 2025	862,800
Median pay, May 2025	$275,930 a year
Projected change, 2025 to 2035	+4% (31,300 jobs), against 3.5% for all jobs
Openings a year, on average	About 22,100

BLS gives these reasons: "An increasing number of older adults, who are more likely than younger people to experience health problems and to need complex care, is expected to drive overall employment growth for physicians and surgeons." It adds that rising rates of chronic illness, such as diabetes, cancer and heart disease, will keep large numbers of people relying on physicians, and that growing demand for psychiatric care will support jobs for psychiatrists, while a smaller child population may limit demand for pediatricians. The physicians page does not mention AI or technology as a factor.

A projection is an estimate from today's trends: the official best guess, not a promise.

What doctors actually use AI for

What physicians report. In the American Medical Association's 2026 survey of nearly 1,700 physicians (published March 12, 2026), 81% said they use AI professionally, up from about 40% in 2023. The most common uses:

Use	Share of physicians
Summaries of medical research and standards of care	39%
Discharge instructions, care plans or progress notes	30%
Billing codes, medical charts or visit notes	28%
Chart summaries	28%
Draft replies to patient portal messages	19%
Translation	18%
Assistive diagnosis	17%

In the same survey, 70% said they were very or somewhat concerned about skills declining among trainees. The AMA calls the technology "augmented intelligence", and its chief executive said it should be designed to enhance physicians, not replace them.

How much of the job shows up in AI use. Anthropic, which makes the AI model Claude, published in March 2026 a measure of how much of each job's work people actually do with Claude, which it calls observed exposure. It counts tasks AI could speed up that show real work use, with full weight when AI does the task and half when it helps, weighted by time spent.

Occupation	Observed exposure
Radiologists	20%
Pathologists	16%
General internal medicine physicians	8%
Obstetricians and gynecologists	7%
Family medicine physicians	0%
Pediatricians, psychiatrists, anesthesiologists, orthopedic surgeons	0%
For comparison: computer programmers	75%

A 0% does not mean AI cannot touch the work. It means the job's tasks "appeared too infrequently in our data to meet the minimum threshold." Anthropic's first report, in February 2025, made the same point from another angle: very high paid jobs with a lot of hands-on work, it named obstetricians, showed very low AI use.

These two sources measure different things. The AMA asks whether a doctor uses any AI tool at all. Anthropic measures how much of the job's task list shows up in one company's AI. Neither measures job losses: usage data measures how people use AI tools, not jobs cut.

Which parts of a doctor's work are exposed, and which are not

From the family medicine physician task list on O*NET, the US Department of Labor's job database:

More exposed: records and writing around care

• Collecting and recording patient histories, reports and exam results
• Preparing reports for government or the organisation
• Keeping up with research (the top use in the AMA survey)
• Drafting notes, instructions and replies to patients for the doctor to review

Less exposed: the patient in front of you

• Examining patients, and ordering and interpreting tests to reach a diagnosis
• Prescribing and giving treatment
• Monitoring patients and changing treatment when needed
• Explaining results and treatment to patients and families
• Leading and coordinating nurses, specialists and other staff
• Training residents and medical students

AI is used most on the paperwork that surrounds care. The decisions, the hands-on work and the responsibility stay with the physician.

Is medicine safe from AI?

No one can say for certain, and you should distrust anyone who claims to. What the evidence says today: the official projection is for growth, driven by an ageing population; AI use among physicians has doubled since 2023 and is concentrated in research and documentation; and the specialties built on reading images and writing reports show the most use. For how other jobs compare, see will AI take my job.

What to lead with on your resume or CV

For a physician, the parts that matter most are the ones AI does not do.

• Lead with patients and outcomes: your patient panel, the procedures you perform, the settings you have worked in.
• Show responsibility: leading a team, running a service, teaching residents, quality improvement you led.
• Mention AI honestly: if you helped roll out or evaluate an AI documentation tool, say what you checked and what changed.

Then run the resume check on this page, which is free and needs no account: it reads your actual resume and shows how your experience comes across to an employer's software and to a recruiter. It does not predict anything about AI. It shows whether the work you lead with comes across the way you mean it.