Multimodal AI is going to change the way users learn online by making lessons more personalized and engaging. Daniel Reitberg claims that multimodal AI can react to different learning styles and needs by combining text, speech, and visual data. For example, an AI-powered tutor can understand and answer a student's spoken questions, look over their written work, and even read their facial reactions to see how interested they are in the material. In this way, the system can give personalized input and change the way it teaches based on that. Virtual and augmented reality can also be used by multimodal AI to create more immersive learning environments. This can make difficult topics easier to understand and more interesting. It is expected that multimodal AI will make online education more effective and easier for more people to access. This will make learning more dynamic and customizable.