Google I/O used to have a recognisable shape. Android first, a few developer APIs, a hardware tease, then the bit where Search got a little stranger. This year the structure collapsed into Gemini. Not because Google forgot the rest of the company exists, but because the rest of the company now seems to exist as places where Gemini can be put to work.

The cleanest announcement is Gemini 3.5, Google's new model family, which starts with 3.5 Flash. Google says Flash is available now in the Gemini app, AI Mode in Search, Google Antigravity, AI Studio, Android Studio, Vertex-adjacent enterprise products, and the Gemini Enterprise Agent Platform. It is also the default model for the Gemini app and AI Mode globally. That is not a laboratory release. It is Google pushing a new base layer under its consumer and developer surfaces on day one.

The numbers are pitched with the usual violence. Google says 3.5 Flash is its strongest agentic and coding model yet, beats Gemini 3.1 Pro on several agent and coding benchmarks, and runs four times faster than other frontier models when measured by output tokens per second. I don't much like writing benchmark paragraphs because they age badly, sometimes by lunchtime, but the direction matters. In February I wrote about Gemini Deep Think as Google spending inference-time compute on hard reasoning. This release pulls the other way: make the everyday model fast enough and good enough that agentic work stops feeling like a special mode.

Then there is Gemini Omni, which is the showier thing and maybe the more revealing one. Omni takes text, images, audio, and video as input and starts by producing video as output. Google says the first model, Gemini Omni Flash, is rolling out to the Gemini app, Google Flow, and YouTube Shorts, with image and audio output planned later. The claim is not only better video. The claim is continuity: edit through conversation, keep characters stable, make the physics hold together, let one instruction build on the last.

That is where Google's advantage looks least abstract. A video model inside a chatbot is one product. A video model inside YouTube, Flow, Android, Search, and whatever Google decides Chrome should become next is something else. AP reported that the Gemini app has passed 900 million monthly active users, more than double the previous year. Even allowing for the fuzziness of app metrics, that is distribution almost no AI-native company can touch.

The less glamorous Android and Chrome announcements say the same thing in a more domestic register. Google says Gemini Intelligence on Android will automate multi-step tasks, fill forms with opt-in personal context, turn spoken mess into cleaner messages, and build custom widgets from natural language. Chrome on Android is getting Gemini summaries, app actions, and auto browse for chores like booking parking or updating an order, with confirmations before sensitive actions. I can feel the pitch hardening as I type it: Google doesn't want one agent. It wants every surface to contain an agent small enough to disappear into the verb you were already using.

I still don't know whether people want that much help. Some of this will be useful in the dullest possible way, which is usually the way software wins. Some of it will be exhausting, another layer of anticipatory cleverness between a person and a task they could have finished with three taps. But the strategic point is clear enough. OpenAI sells the interface. Anthropic sells the model and the caution. Google sells the operating environment in which the model is already waiting.

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