Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for General Internal Medicine:
56.3%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forGeneral Internal Medicine Physicians
$256,560 median salary•1,900 annual openings•SOC Code: 29-1216.00
General Internal Medicine Physicians are somewhat more resilient to AI impacts than most occupations, according to our analysis of 8 sources.
General Internal Medicine Physicians are labeled "Mostly Resilient" because the heart of their work, which includes diagnosing complex conditions, building trust with patients, and making high-stakes judgment calls, depends on deeply human skills that AI simply cannot replicate right now. AI is already taking over time-consuming paperwork tasks like writing clinical notes and updating patient records, so doctors are actually gaining more time for the parts of medicine that matter most.
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General Internal Medicine Physicians are labeled "Mostly Resilient" because the heart of their work, which includes diagnosing complex conditions, building trust with patients, and making high-stakes judgment calls, depends on deeply human skills that AI simply cannot replicate right now. AI is already taking over time-consuming paperwork tasks like writing clinical notes and updating patient records, so doctors are actually gaining more time for the parts of medicine that matter most.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
General Internal Medicine
Updated Quarterly
How is AI changing General Internal Medicine jobs?
Right now, AI in internal medicine is mostly augmenting doctors, not replacing them. The biggest wins are on the paperwork side of the job—those first two tasks about writing reports and maintaining patient records. Ambient AI "scribes" listen during a visit and draft the clinical note automatically, and health systems are rolling them out to cut administrative workloads and free physicians for patient care [1].
Adoption is climbing fast: an American Medical Association survey found 81% of physicians now use AI professionally, with an average of 2.3 use cases each [2], and that figure has more than doubled since 2023 [3]. AI is also nudging into diagnosis and prevention—community health centers are piloting AI clinical decision support to flag risks and suggest next steps [4]—but the actual treating, immunizing, and long-term care of patients still relies on a human doctor's judgment and relationship with the patient.
Sources
How fast is AI adoption growing for General Internal Medicine?
Adoption is moving quickly for documentation tools because they're commercially available, plug into existing electronic health records, and pay for themselves by reducing burnout and giving doctors more billable visit time. But adoption is slower for higher-stakes clinical decisions. In a Doximity survey, more than 70% of physicians named accuracy and reliability as their top barrier to using AI [5], and a study of AI-assisted virtual urgent care visits showed physicians frequently changed the AI's initial recommendations [6], underscoring that human oversight is still essential.
Professional groups reinforce this: the American College of Physicians has formally recommended that AI augment—not replace—physician decision-making [6]. The takeaway for you: the human parts of medicine—listening, judgment, ethics, and trust—are exactly what remain valuable.
Sources
Will AI replace General Internal Medicine?
No. We don't think AI will replace General Internal Medicine Physicians, though we do expect the job to change.
Our scorecard gives this career a 56.3% AI Resilience Score, landing it in "Mostly Resilient" territory. That feels right to us. AI is already reshaping the daily routine of internists, but mostly by handling the tedious parts. Ambient AI scribes now draft clinical notes automatically during patient visits, cutting paperwork so doctors can focus on actual care [1]. Adoption is real and fast: 81% of physicians now use AI professionally in some form [2], more than double the rate from 2023 [3].
What AI is not doing is replacing the human core of the job. Listening carefully to a worried patient, weighing competing diagnoses under uncertainty, building trust over years of care: those things still require a person. Physicians frequently override AI recommendations in clinical settings [6], and the American College of Physicians has formally called for AI to augment rather than replace physician judgment [6]. More than 70% of doctors cite accuracy and reliability as their top concern with AI tools [5].
The economic picture supports staying in this field. Earning potential remains strong, and physicians who learn to work alongside AI tools will likely be more productive, not less necessary.
Sources
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Latest AI news for General Internal Medicine
As AI becomes integral in healthcare, General Internal Medicine Physicians must adapt to new tools that enhance patient care. For instance, the NPR article highlights how AI can address the primary care physician shortage by facilitating online consultations. Similarly, Stanford's study shows AI improving collaboration between physicians and nurses, leading to better outcomes. Understanding AI's potential and limitations, as discussed in the UCLA and Nature articles, can empower future physicians to utilize these technologies effectively, fostering resilience in their careers while ensuring quality patient care.
Your next primary care doctor could be online only, accessed through an AI tool : Shots - Health News
www.npr.org • 1/9/2026
The shortage of primary care doctors is a national problem. To cope, a large health system in Massachusetts is using an AI tool to screen...
Researchers pose five guiding questions to improve the use of artificial intelligence in physicians’ clinical decision-making
www.uclahealth.org • 10/29/2025
While able to catch what doctors may miss, artificial intelligence can also make mistakes and lead to incorrect diagnoses. To ensure that AI...
A systematic review and meta-analysis of diagnostic performance comparison between generative AI and physicians
www.nature.com • 3/22/2025
While generative artificial intelligence (AI) has shown potential in medical diagnostics, comprehensive evaluation of its diagnostic...
Physician clinical decision modification and bias assessment in a randomized controlled trial of AI assistance
www.nature.com • 3/4/2025
Artificial intelligence assistance in clinical decision making shows promise, but concerns exist about potential exacerbation of demographic...
How AI improves physician and nurse collaboration
med.stanford.edu • 4/15/2024
A new artificial intelligence model helps physicians and nurses work together at Stanford Hospital to boost patient care.
More Career Info
Career: General Internal Medicine Physicians
They help adults stay healthy by diagnosing illnesses, managing diseases, and providing treatments to improve overall well-being.
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Employment & Wage Data
Median Wage
$256,560
Jobs (2025)
73,100
Growth (2025-35)
+4.0%
Annual Openings
1,900
Education
Doctoral or professional degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Operate on patients to remove, repair, or improve functioning of diseased or injured body parts and systems.
2
Provide and manage long-term, comprehensive medical care, including diagnosis and nonsurgical treatment of diseases, for adult patients in an office or hospital.
3
Treat internal disorders, such as hypertension, heart disease, diabetes, or problems of the lung, brain, kidney, or gastrointestinal tract.
4
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.
5
Immunize patients to protect them from preventable diseases.
6
Prescribe or administer medication, therapy, and other specialized medical care to treat or prevent illness, disease, or injury.
7
Direct and coordinate activities of nurses, students, assistants, specialists, therapists, and other medical staff.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
