The future of cranial and spinal surgery lies in the convergence of advanced imaging, real-time sensing, computational modeling, and artificial intelligence. Emerging technologies such as intraoperative image updating and fluorescence-guided surgery are enabling surgeons to work with continuously refreshed maps of a patient’s anatomy, providing unprecedented precision during complex procedures. By integrating data from imaging systems, sensors, and robotic platforms, AI-driven surgical environments will offer real-time guidance, improve tissue identification, and support more accurate decision-making. As large-scale surgical data repositories are developed to train increasingly sophisticated algorithms, these innovations promise safer operations, improved outcomes, and a pathway toward more autonomous surgical capabilities.