Artificial intelligence (AI) research is a vital area that flourishes in many fields, including healthcare. Chronic diseases are increasing at an alarming pace, which reduces the quality of life as well as economic growth. Telemedicine is a technique to provide healthcare facilities to remote areas or medically underserved populations by making use of technology. Healthcare costs and non-compliance with medication have further reduced patient adherence to their daily self-care for chronic management; AI plays a significant role in reducing healthcare costs and improving patient care. Over 2.5 quintillion bytes of data are created every day. It is an impossible task to utilize this large amount of patient data effectively for a healthcare professional in making a complex drug prescription treatment for a chronic disease. Thus, the traditional way of pharmaceutical care to address chronic diseases may not be sustainable in the future due to the rise of patients with multiple drug regimens and increasing costs of medications. In the future, the AI system will take its place: “Robots” will see you now. “Telemedicine has ultimately transformed the working standard of any country's healthcare system, and many countries have accepted telemedicine as the latest means of healthcare facilities. Virtual care adoption increased significantly for video, phone, and messages. There are only 13 states with a surplus in telemedicine as of 2030. In recent years, significant advancements have occurred in technology, leading to minimally invasive surgical interventions with better patient post-surgery life quality and better monitoring and screening techniques for chronic patients. The AI system uses algorithms in decision-making for telemedicine and clinical care, which reduces healthcare costs and helps patients take medication at the correct dosage and time with better adherence. The healthcare system now uses AI for image analysis, diagnostic decision support, virtual clinical assistants, and pattern analysis to monitor patient data and provide recommendations on clinical treatment. The AI engine can be either handheld devices or software through the internet. This study discusses the role of AI in telemedicine for chronic disease.