Google I/O 2026 puts Gemini into agentic products
Google used I/O 2026 to announce two new models, Gemini Omni and Gemini 3.5 Flash, and to expand agent-style features across its products. The company said the updates move Gemini from a writing aid toward systems that can act on users’ behalf.
Google used I/O 2026 to outline a bigger push into agentic AI, announcing two new Gemini models and a wider rollout of AI features across its products. The company said the goal is to help people do more than draft text or answer questions, moving toward systems that can take actions as well as generate content.
The most prominent model announcement was Gemini Omni. Google said the model can create anything from any input, starting with video, and described it as a step forward in world understanding, multimodality and editing. In plain terms, multimodality means a model can work across different kinds of input such as text, images, audio and video rather than only one format.
⚡ New to this?
This news matters because Google is shifting Gemini from a chatbot style assistant toward an agent, which means software that can take actions instead of only generating text. Multimodal means the AI can handle more than one type of input, such as video or images, and that can make it more useful in real products.
For non-experts, the big change is that AI is moving closer to doing tasks inside apps you already use, like search, shopping and video. That affects how people interact with software and how much work they expect an AI system to do on their behalf.
🦞 OpenClaw angle
If you build AI automation, treat Google’s move as a signal to design for actions, not just responses. Build your self-hosted agents with clear tool boundaries, audit logs and permission checks so they can safely do things like update records or trigger workflows.
Also, make your pipelines multimodal where it matters: test image, audio and video inputs if your users will send them, not just text. Finally, isolate agent privileges per task, since the more an agent can act, the more damage a bad prompt or bad input can cause.
Google also introduced Gemini 3.5 Flash, which the company said is the first model in its latest family to combine frontier intelligence with action. The phrase “frontier intelligence” is Google’s way of describing its most capable model tier, while “action” refers to a model’s ability to do more than answer prompts.
A large part of the presentation focused on Google Antigravity, which the company called its agent-first development platform. Google said this is part of a shift beyond AI tools that help people write toward agents that help them act. The company framed that change as making it possible for more people to become builders, because the software is designed to take on more of the work inside products and workflows.
Google said those agentic experiences will appear across several of its products. In Search, the company pointed to Information agents. In the Gemini app, it highlighted Gemini Spark and Daily Brief. Google also announced Universal Cart, which it described as a truly intelligent shopping cart.
The company said Gemini will keep spreading across more of its product lineup as well. That includes Google Pics, intelligent eyewear and Ask YouTube, along with new experiences and new device formats. Google’s wording suggests the company wants Gemini to be present not just in a chatbot, but in everyday products people already use.
The I/O 2026 post did not include technical benchmarks or detailed release schedules for the new models in the excerpt provided. It did, however, present the announcements as part of a broader effort to make AI more helpful across Google’s services and to move from assistance to action.
Google said the changes are tied to a new agentic Gemini era, with products and models designed to work across formats and carry out tasks inside Google’s ecosystem.
