Google on July 16 renamed NotebookLM — the source-grounded research assistant that grew from 2023's Project Tailwind into one of its most loved AI products — to Gemini Notebook, and gave it the most significant capability upgrade in its history: a real computer.
The rename, and why
Gemini Notebook stays a standalone product, but the new name signals distribution: it now plugs into the Gemini app, with integration into Google Search's AI Mode coming. Google says the tool has crossed 30 million individual users and more than 600,000 organizations — numbers that explain why it's being pulled toward the center of the Gemini brand rather than left as a Labs curiosity.
A cloud computer per notebook
The substantive news is under the hood: every notebook now gets access to a secure, sandboxed cloud computer — an isolated execution environment on Google Cloud's code-execution platform equipped with more than 100 curated software skills. Gemini writes and runs Python natively against the sources loaded into the notebook, returning charts, tables and output documents rather than prose summaries alone.
What that unlocks
The practical shift is from reading to computing: upload a quarter's spreadsheets and the notebook can actually run the cohort analysis; load a dataset alongside papers and it can reproduce the figures. It's the same agentic direction OpenAI has taken ChatGPT's code interpreter and Anthropic has taken Claude's analysis tooling — but wired to NotebookLM's defining constraint, that answers stay grounded in the user's own sources.
Who gets it, and when
Code execution is live now for Google AI Ultra subscribers and Workspace business customers with AI Ultra Access or AI Expanded Access, and rolls out to Pro ($19.99/month) users on the web over the coming weeks. The gating matters: the headline feature of Google's most viral AI product is, for now, an upsell to its most expensive tiers.