AI-enabled video generation technologies have been at a groundbreaking, record speed level of development, which has dramatically changed the entire landscape and outlook towards digital media production. The current study will assess most of the AI tools used for this purpose, including Sora, Runway ML, Stable Video Diffusion, Animate Diff, and LeonardoAI. Individual methodologies concerning the investigation of analysis in respect of tool realism, user accessibility, and computational requirements with quality of outputs are what is necessary for the insight into the strength and weakness each of the tools possesses. This is even complemented by the guiding strategic model of ANIMATRIX framework toward further development in the area of AI video generation technologies. It also provides a further outline on scalability and involves ethics in AI when the technology is integrated with awareness related to environmental sustainability. The research also covers the environmental impact brought by AI video generation with respect to energy consumption and carbon dioxide emissions. The findings offer a solid base for the development of AI-based video technologies related to digital media, combining novelty, usability, and ethics, while making a very substantial contribution not only to the scientific research frontier but also to industrial applicability.