The use of artificial intelligence (AI) in neurosurgery has greatly improved clinical precision, safety, and efficiency. AI-driven innovations, such as image-guided navigation, robotic surgery, predictive analytics, and brain-computer interfaces, improve outcomes and allow for real-time, data-driven decisions. This study examines existing AI uses in neurosurgical operations, diagnostics, and postoperative care, as well as prospects such as real-time intraoperative decision-making, individualized neurosurgery planning, and autonomous surgical systems. Despite the potential, ethical, legal, and infrastructure difficulties persist. Continued multidisciplinary collaboration is required to realize AI's promise in neurosurgical developments fully.