Purpose: Artificial intelligence (AI) technologies are becoming increasingly integrated into all aspects of medicine, with plastic surgery no exception. In fact, the often visual nature of the specialty lends itself well to the digital reconstructions it produces. Methodology: This narrative review explores current applications of AI in plastic surgery practice, focusing on preoperative planning, intraoperative assistance, and postoperative management. Results: Preoperatively, AI is now featuring heavily within consultations, performing documentation tasks(1) as well as creating letters for both patients and their referring doctors(2). It’s also changing our use of radiology, with attempts to see whether it can improve free flap perforator planning(3). AI also has a role to improve intraoperative outcomes by assessing performance and training, particularly in microsurgery(4). This will prove useful in training for the coming wave of robotics in microsurgery. It is also being used in Burn’s surgery to help better predict total body surface area involved when a Burn’s surgeon is unvailable(5). Postoperative AI applications include automated monitoring via wearable devices allowing direct patient monitoring post-flap reconstruction(6) and predictive analytics for early complication detection, enhancing patient safety and recovery(7). Despite benefits, challenges related to data privacy, algorithmic bias, and regulatory oversight remain(8). Conclusions: AI has significant clinical impacts in plastic surgery by enhancing precision, customization, and safety from preoperative stages through postoperative follow-up. Its integration elevates standards of care and expands surgical possibilities. Continued research, ethical governance, and surgeon involvement in AI development are critical for responsible implementation and maximizing patient benefit.