The article "AI's Threat to the Medical Profession" by Fogo, Kronbichler, and Bajema discusses the rapid integration of artificial intelligence (AI) into medical practices, particularly in pathology. The authors highlight the voluntary sharing of expert knowledge by physicians with AI systems, which has led to significant advancements but also raises concerns about the future of the profession. They use the example of kidney pathology to illustrate how AI can perform tedious tasks efficiently, potentially leading to a loss of essential skills among pathologists. While AI offers consistent and unbiased performance, it also introduces interobserver variability and the risk of degrading the understanding of basic histological elements. The authors argue that AI-driven pathology may become the standard, especially in regions where expert pathologists are unavailable, and that this could result in a medical world dominated by input and output, with little room for human expertise. They emphasize the need for regulations to ensure that AI does not compromise the quality and depth of medical knowledge and practice.The article "AI's Threat to the Medical Profession" by Fogo, Kronbichler, and Bajema discusses the rapid integration of artificial intelligence (AI) into medical practices, particularly in pathology. The authors highlight the voluntary sharing of expert knowledge by physicians with AI systems, which has led to significant advancements but also raises concerns about the future of the profession. They use the example of kidney pathology to illustrate how AI can perform tedious tasks efficiently, potentially leading to a loss of essential skills among pathologists. While AI offers consistent and unbiased performance, it also introduces interobserver variability and the risk of degrading the understanding of basic histological elements. The authors argue that AI-driven pathology may become the standard, especially in regions where expert pathologists are unavailable, and that this could result in a medical world dominated by input and output, with little room for human expertise. They emphasize the need for regulations to ensure that AI does not compromise the quality and depth of medical knowledge and practice.