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AI exposure Healthcare practitioners and technical

Will AI replace family medicine physicians?

Family Medicine Physicians. US occupation 29-1215.

The reading

0.0%

of the time family medicine physicians spend on their work goes on tasks where AI is already being used to do that work.of family medicine physicians' working hours go on tasks AI has already started taking off their plate.

Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.

Average US job 7.7%

Among the least exposed jobs there are.Still waiting for liberation.

What AI already does for family medicine physiciansWhat family medicine physicians no longer do alone

O*NET lists 12 tasks for family medicine physicians. AI use at work shows up in 2 of them, though too little of the job's time goes on them to register in the exposure figure. Each score runs from 0.5, where every observed use helps a person with the task, to 1, where every use does the task outright.

  1. Explain procedures and discuss test results or prescribed treatments with patients.Core task mostly automated 0.85
  2. Collect, record, and maintain patient information, such as medical history, reports, or examination results.Core task automated and assisted 0.72

What it does not touch, yetWhat still needs a human

10 of the 12 tasks show no AI use at work in the data.

  • Advise patients and community members concerning diet, activity, hygiene, and disease prevention.Core task
  • Coordinate work with nurses, social workers, rehabilitation therapists, pharmacists, psychologists, and other health care providers.Core task
  • Direct and coordinate activities of nurses, students, assistants, specialists, therapists, and other medical staff.Core task
  • Monitor patients' conditions and progress and reevaluate treatments as necessary.Core task
  • Order, perform, and interpret tests and analyze records, reports, and examination information to diagnose patients' condition.Core task
  • Plan, implement, or administer health programs or standards in hospitals, businesses, or communities for prevention or treatment of injury or illness.Core task
Show the other 4
  • Prescribe or administer treatment, therapy, medication, vaccination, and other specialized medical care to treat or prevent illness, disease, or injury.Core task
  • Refer patients to medical specialists or other practitioners when necessary.Core task
  • Train residents, medical students, and other health care professionals.Core task
  • Prepare government or organizational reports which include birth, death, and disease statistics, workforce evaluations, or medical status of individuals.

How that compares

Among the 65 healthcare practitioners and technical occupations, family medicine physicians rank 36. The group averages 4.1%, and its most exposed job is Medical Records Specialists at 66.7%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Level with 0.0%

  1. 346Fabric and Apparel Patternmakers 0.0%
  2. 346Fallers 0.0%
  3. 346Family and Consumer Sciences Teachers, Postsecondary 0.0%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.