Will AI replace General Internal Medicine Physicians?
Work in General Internal Medicine Physicians sits in the in-between: AI reaches some of it (~46% in theory) but is only measured doing about 8% today — part human, part machine.
O*NET-SOC 29-1216
How your 16 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~46%). By late 2025, real-world AI use had reached about 8% of its task activity (growing but still limited). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~46%), real-world use (~8%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 16 tasks, ratedBased on real task-level AI scores — click to collapse
- None — AI cannot fully do any core task alone yet.
- Analyze records, reports, test results, or examination information to diagnose medical condition of patient.
- Treat internal disorders, such as hypertension, heart disease, diabetes, or problems of the lung, brain, kidney, or gastrointestinal tract.
- Prescribe or administer medication, therapy, and other specialized medical care to treat or prevent illness, disease, or injury.
- Manage and treat common health problems, such as infections, influenza or pneumonia, as well as serious, chronic, and complex illnesses, in adolescents, adults, and the elderly.
- Provide and manage long-term, comprehensive medical care, including diagnosis and nonsurgical treatment of diseases, for adult patients in an office or hospital.
- Explain procedures and discuss test results or prescribed treatments with patients.
- Advise patients and community members concerning diet, activity, hygiene, and disease prevention.
- Make diagnoses when different illnesses occur together or in situations where the diagnosis may be obscure.
- Refer patient to medical specialist or other practitioner when necessary.
- Monitor patients' conditions and progress and reevaluate treatments as necessary.
- Collect, record, and maintain patient information, such as medical history, reports, or examination results.
- Provide consulting services to other doctors caring for patients with special or difficult problems.
- Advise surgeon of a patient's risk status and recommend appropriate intervention to minimize risk.
- Direct and coordinate activities of nurses, students, assistants, specialists, therapists, and other medical staff.
- Prepare government or organizational reports on birth, death, and disease statistics, workforce evaluations, or the medical status of individuals.
- Immunize patients to protect them from preventable diseases.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.