This narrative review explores the recent advancements of artificial intelligence (AI) in robotic surgery, focusing on intraoperative enhancements and their impact on surgical education. AI is revolutionizing robotic surgery by providing advanced intraoperative metrics such as force and tactile measurements, enhancing the detection of positive surgical margins, and automating certain surgical steps. AI also plays a crucial role in surgical education through automated skills assessments and intraoperative feedback. The review highlights specific applications, including real-time image enhancement, native tissue recognition, instrument delineation, and tactile feedback. Additionally, it discusses the development of automated performance metrics (APMs) for surgeon evaluation and the use of AI in measuring surgical difficulty. Ethical considerations, such as data privacy, model transparency, bias, accountability, and financial incentives, are addressed, emphasizing the need for regulatory frameworks to ensure safe and trustworthy AI implementation in robotic surgery. The conclusion underscores the rapid expansion of AI in robotic surgery and the potential for further exciting innovations in the future.This narrative review explores the recent advancements of artificial intelligence (AI) in robotic surgery, focusing on intraoperative enhancements and their impact on surgical education. AI is revolutionizing robotic surgery by providing advanced intraoperative metrics such as force and tactile measurements, enhancing the detection of positive surgical margins, and automating certain surgical steps. AI also plays a crucial role in surgical education through automated skills assessments and intraoperative feedback. The review highlights specific applications, including real-time image enhancement, native tissue recognition, instrument delineation, and tactile feedback. Additionally, it discusses the development of automated performance metrics (APMs) for surgeon evaluation and the use of AI in measuring surgical difficulty. Ethical considerations, such as data privacy, model transparency, bias, accountability, and financial incentives, are addressed, emphasizing the need for regulatory frameworks to ensure safe and trustworthy AI implementation in robotic surgery. The conclusion underscores the rapid expansion of AI in robotic surgery and the potential for further exciting innovations in the future.