Google just dropped what might be the most consequential AI model announcement of the year. At its annual I/O developer conference, the company officially unveiled Gemini Omni, its first truly native multimodal model, one designed to create any output from any input, with video processing sitting at the center of the pitch.
Unlike previous models that handled text, images, and audio as separate capabilities bolted together, Gemini Omni processes all modalities natively from the ground up.
What Gemini Omni actually does
Most multimodal AI models work by translating different input types into text-like representations, then processing them through what is fundamentally a language model. Gemini Omni takes a different approach: it treats video, audio, images, and text as first-class citizens from the architecture level. Instead of converting a video into a text description and then reasoning about it, the model reasons about the video directly.
Google Cloud has positioned Gemini Enterprise as the central hub for building what it calls “agentic workforces,” essentially AI agents that can take actions across enterprise software stacks. The integration list includes Microsoft 365, Oracle, Slack, and the full suite of Google Workspace applications.
