Google is rolling out a "notebooks" feature for Gemini that lets users consolidate files, past conversations, and custom instructions into persistent workspaces, directly challenging OpenAI's Projects.
Google wants Gemini to be more than a chatbot you visit, ask a question, and leave. The company is betting that the real value of AI lies in persistence: the ability to remember what you are working on and build on it over time. Its new notebooks feature, announced Wednesday, is the clearest signal yet of that strategy.
Notebooks let users pull files, saved conversations, and tailored instructions into a single workspace that Gemini treats as ongoing context. Rather than re-explaining your project or re-uploading key documents every time you open the chatbot, the notebook holds everything in place. As The Verge reported, Google describes these as "personal knowledge bases shared across Google products, starting in Gemini." That phrasing is deliberate. It hints at deeper integration with Google Drive, Google Docs, and the broader Workspace ecosystem down the line.
The timing is not accidental. OpenAI launched its own version of this concept, called Projects, in late 2024. Projects functions almost identically: users can upload files, set custom instructions, and group related conversations under a single umbrella. It has become one of the more practical features inside ChatGPT for professionals juggling multiple clients, research threads, or ongoing tasks. Google is clearly playing catch-up here, but it may have an advantage that OpenAI cannot easily replicate.
The fundamental problem notebooks and Projects both try to solve is context loss. Large language models are stateless by default. Every new session starts from scratch. For casual queries, that barely matters. But for startup founders building a business plan, marketing teams developing a campaign across weeks, or developers maintaining a codebase, the inability to maintain persistent context is a real productivity bottleneck.
This is where Google's ecosystem advantage becomes relevant. If notebooks eventually sync with Drive, Keep, Calendar, and Gmail, the feature stops being a simple organizational tool and becomes a layer that connects your existing work to the AI. Imagine a notebook that automatically pulls in relevant meeting notes from last week, the latest version of a pitch deck, and your recent email thread with an investor. That is the trajectory Google is signaling, even if the current launch is more modest.
For startups and small teams evaluating which AI platform to commit to, this kind of integration could tip the scales. OpenAI has built a strong standalone product in ChatGPT, but it lacks a native productivity suite to anchor Projects against. Google has that suite. The question is whether it can execute on the integration quickly enough to matter.
The Competitive Landscape Is Shifting
Notebooks also reflect a broader trend in the AI industry: the shift from raw model capability to workflow utility. A year ago, the competition between Google and OpenAI was largely measured by benchmark scores and model size. Now, the battleground is features, integrations, and daily usability. Anthropic's Claude has its own approach with artifacts and project spaces. Microsoft is weaving Copilot deeper into Office 365. Every major player is trying to own the persistent AI workspace.
What makes notebooks worth watching is not just what they do today, but what they enable tomorrow. Google is sitting on one of the largest repositories of personal and professional data in the world. If it can connect that data to Gemini in a way that feels useful rather than intrusive, it could offer a workspace experience that competitors will struggle to match. Privacy concerns will undoubtedly surface, and Google will need to be transparent about how notebook data is stored and used. That tension between utility and trust is not new, but it will be amplified in an AI context.
For now, notebooks is a feature that brings Gemini to parity with ChatGPT on organization. It is a necessary move, not a differentiated one. But the foundation it lays, especially if Google follows through on cross-product sync, could make Gemini the default AI tool for anyone already living inside the Google ecosystem. If you are a founder, a freelancer, or a team lead deciding where to invest your AI workflow, this feature alone should not drive your decision. But it should remind you that the platform wars in AI are far from over, and the winners will be decided by who makes the tool hardest to leave.
