Sora is a text-to-video generative artificial intelligence developed by the same creators of ChatGPT, with potential applications in neurosurgery. It uses natural language processing, deep learning, and computer vision to generate high-quality videos from text prompts. Sora has potential uses in neurosurgery, including patient education, public health, surgical training and planning, and research dissemination. However, it has limitations such as physically implausible motion generation, spontaneous subject generation, unnatural object morphing, inaccurate physical interactions, and abnormal behavior when multiple subjects are generated. Other concerns include patient privacy, bias, and ethics. Despite these challenges, Sora and similar tools may offer significant benefits to the neurosurgical community. Patient education videos generated by Sora could be more accurate and effective than text-based tools, helping patients understand their conditions and treatment options. Sora could also be used in public health to educate the public on recognizing symptoms of neurosurgical conditions. In surgical training and planning, Sora could generate video simulations of clinical scenarios, surgical techniques, and complications. These simulations could be combined with virtual reality to enhance training opportunities. Sora also has potential in research, as it could generate video abstracts and case reports to improve the dissemination and understanding of research. However, further investigation is needed to assess the effectiveness of AI-generated videos compared to non-generated counterparts. Overall, Sora represents a promising advancement in neurosurgery, but its limitations must be addressed to ensure its safe and effective use.Sora is a text-to-video generative artificial intelligence developed by the same creators of ChatGPT, with potential applications in neurosurgery. It uses natural language processing, deep learning, and computer vision to generate high-quality videos from text prompts. Sora has potential uses in neurosurgery, including patient education, public health, surgical training and planning, and research dissemination. However, it has limitations such as physically implausible motion generation, spontaneous subject generation, unnatural object morphing, inaccurate physical interactions, and abnormal behavior when multiple subjects are generated. Other concerns include patient privacy, bias, and ethics. Despite these challenges, Sora and similar tools may offer significant benefits to the neurosurgical community. Patient education videos generated by Sora could be more accurate and effective than text-based tools, helping patients understand their conditions and treatment options. Sora could also be used in public health to educate the public on recognizing symptoms of neurosurgical conditions. In surgical training and planning, Sora could generate video simulations of clinical scenarios, surgical techniques, and complications. These simulations could be combined with virtual reality to enhance training opportunities. Sora also has potential in research, as it could generate video abstracts and case reports to improve the dissemination and understanding of research. However, further investigation is needed to assess the effectiveness of AI-generated videos compared to non-generated counterparts. Overall, Sora represents a promising advancement in neurosurgery, but its limitations must be addressed to ensure its safe and effective use.