Google I/O 2026: 9 Demos of Gemini Omni and 3.5

At Google I/O 2026, the tech giant unveiled nine demonstration videos that put the spotlight on its latest artificial intelligence models: Gemini Omni and Gemini 3.5. These demos were not just a showcase of incremental improvements; they represented a leap forward in multimodal reasoning, a field where AI can simultaneously process and understand text, images, video, and audio in a unified manner. One of the standout features demonstrated was real-time video understanding. In a demo, the AI watched a live feed of a person assembling a piece of furniture and provided step-by-step verbal guidance, correcting mistakes as they happened. Another clip showed Gemini Omni analyzing a complex scientific diagram from a research paper, answering follow-up questions about the data trends without needing additional context. The models also excelled in real-time interaction, holding fluid conversations that felt less robotic and more intuitive, even when interrupted or asked to switch topics abruptly. For developers, these demos highlighted a new level of integration. Gemini 3.5, in particular, showed an ability to chain together multiple tasks—like summarizing a long email, extracting a calendar event from it, and then drafting a reply—all within a single conversational thread. This reduces the friction of using separate tools for each step. Google’s strategy is clear: make AI assistants not just smarter, but more capable of handling messy, real-world scenarios. The demos at I/O 2026 suggest that the gap between a helpful assistant and a truly autonomous agent is narrowing. For consumers, this could mean smarter search results, better voice assistants, and apps that anticipate needs rather than just reacting to commands. For businesses, it opens doors to automating complex workflows that previously required human oversight. While the demos were impressive, questions remain about deployment costs, latency in real-world applications, and how these models will handle privacy-sensitive data. However, for now, Google has set a high bar for what AI can achieve, pushing competitors to accelerate their own multimodal efforts.