SORA is a text-to-video (T2V) model that can generate realistic video content based on simple user prompts. Upon its release to the general public, SORA has the potential to revolutionize numerous industries while also presenting significant challenges. This research aims to provide a comprehensive understanding of SORA’s opportunities, challenges, and implications. It explores its potential applications in filmmaking, education, gaming, advertising, accessibility, healthcare, and social media content creation. Additionally, it investigates potential challenges such as misinformation, erosion of privacy, bias, regulatory complexities, and technological dependence. Moreover, this research identifies key research directions and offers important recommendations to promote the responsible deployment of T2V models.