The AI video generation model, an emerging paradigm following professional generated content model and user-generated content (UGC) models, has entered a phase of rapid development. Advancements in large AI models have further accelerated this trend. AI has now permeated all stages of video production, providing comprehensive support for key processes including screenwriting, voice synthesis, visual effects, and editing. This not only enhances production efficiency and diversifies content formats but also significantly reduces costs. While demonstrating substantial advantages, AI video production still faces challenges such as insufficient technological maturity, variable content quality, and ongoing ethical debates. To maximize its benefits, continuous improvements are needed in algorithm transparency, emotional interactivity, human-AI collaboration mechanisms, and relevant legal frameworks.