Artificial intelligence (AI) has advanced significantly since its conception, finding traction in a variety of sectors, including dermatology. AI, which was first introduced at the 1956 Dartmouth Conference, has advanced as a result of improved hardware and software, potentially improving medical processes. AI is especially promising in dermatology because of its enormous clinical imaging databases, which aid in diagnoses and treatment. This overview chronicles AI’s history, from early codebreaking efforts during World War II to present applications, and examines its growing popularity, fueled by the media and key personalities. Key AI principles, including as machine learning (ML) and deep learning (DL), are discussed, with an emphasis on their application in dermatology. The applications of artificial intelligence in dermatology, such as diagnostics, patient management, preventative medicine, and genetics, are discussed, emphasizing their potential to change the profession. However, hurdles remain, including the necessity for rigorous validation and the incorporation of AI into everyday clinical practice. As AI advances, it holds the possibility of improving dermatological care through greater diagnosis accuracy, tailored therapies, and preventive tactics, albeit more study and validation are required to fully realize its potential.