Google’s AI note-taking app now allows you to interact with books

Google is taking a significant step toward integrating deep reading with generative AI through its latest update to Gemini Notebook. According to The Verge, the new Expert Intelligence feature allows users to pull directly from titles purchased on Google Play Books. This moves the tool beyond simple web summarization into the realm of proprietary content analysis.

The implications here are substantial for how we consume long-form information. Instead of just highlighting text, you can now ask complex questions about a book's arguments or generate creative outputs like infographics and AI podcasts based on its contents. It transforms a static purchase into an interactive knowledge base.

During a briefing, Google Labs editorial director Steven Johnson demonstrated the practical utility of this feature. He showed how the system could extract principles from Michael Pollan's Food Rules to generate a custom recipe book. This example highlights the potential for AI to synthesize advice across different contexts rather than just retrieving facts.

Another use case involved applying management insights from Kim Scott's work to create actionable plans. This suggests that professional development tools are evolving rapidly. Users can now treat business books as dynamic consultants rather than one-time reads.

However, this integration raises important questions about data privacy and copyright. By allowing AI to analyze purchased content, Google is creating a deeper link between your library and its AI models. This could influence how digital rights are managed in the future, especially if training data becomes more granular.

The move also signals Google's strategy to compete in the productivity space. By tying AI capabilities to its ecosystem of purchased media, they create a sticky user experience. This is not just about better search; it is about creating a personalized learning environment that adapts to your specific interests.

For professionals, this means the barrier to extracting value from books is lowering. You no longer need to take extensive notes to remember key insights. The AI can do the heavy lifting of synthesis and application for you.

What this means for you: Start treating your digital library as a dataset for your projects. Try this prompt with Gemini Notebook: "Analyze the key management frameworks in [Book Title] and create a step-by-step implementation plan for my current team challenges." This workflow turns passive reading into active strategy.