Google held its annual I/O conference yesterday, and it made one thing clear: Gemini is becoming the layer beneath all the apps people already use… whether they like it or not.
Here’s what happened
- Gemini 3.5 Flash became Google’s new fast model for agents, coding, and long tasks.
- Gemini Spark introduced itself as a 24/7 personal agent that can work across Workspace apps.
- Search got information agents that monitor the web, plus mini apps for ongoing tasks.
- Workspace got voice features for Gmail, Docs, and Keep, plus Google Pics and AI Inbox.
- Antigravity 2.0 turned coding agents into a managed desktop, CLI, and SDK workflow, plus the ability to launch a team of parallel coding agents.
- AI Studio now lets you generate full Android apps.
…and a whole lot more than that you can read about in our deep dive.
Why this matters
The real story, though, was pretty simple: Google wants Gemini to stop feeling like a chatbot and start feeling like the operating layer across search, email, docs, shopping, video, glasses, coding, and app building. At some point, the assistant stopped being shoehorned into the apps and will now become the plumbing beneath it.
This matters for Google because the AI race has drifted away from “which chatbot answers best?” and toward “which company can turn answers into action?” Google’s answer is obvious: put Gemini inside everything, from Search, Gmail, Docs, YouTube, shopping, Android, coding, app building, and glasses.
Our take
Google has the distribution advantage, to be sure. ChatGPT and Claude are destination apps. Meanwhile, Google owns the end work surfaces: inbox, docs, browser, phone, YouTube, Search, shopping, and the developer stack. All the endpoints where the work you do with the AI in the middle actually touches the rest of the world.
That means Google can make agents feel less like a new habit and more like a new setting inside the tools you already open all day. If it works well, it will feel like your tools just getting better.
The hard part now is permission. A search engine that answers is useful. A search engine that monitors, books, shops, builds, writes, and edits needs trust.
If Google gets that right, the next AI interface may feel less like opening a chatbot and more like telling your computer what outcome you want. Which is how AI SHOULD work.
Editor’s note: This content originally ran in the newsletter of our sister publication, The Neuron. To read more from The Neuron, sign up for its newsletter here.