NotebookLM, Google’s AI-powered note-taking and knowledge exploration tool, is designed to help individuals interact with their documents, ask questions, and even create summaries, podcasts, or videos from the content. Learning and AI are natural partners—and tools like NotebookLM open possibilities worth experimenting with.

https://notebooklm.google/

I uploaded Bsharp Converse documents into NotebookLM and set up a chatbot to query them. I also created:

• A video summarising the content.

• A podcast based on the same material.

These outputs were reviewed for their potential in enterprise learning scenarios.

1. Enterprise Account Restriction

• Works only with personal Gmail accounts, not Google Workspace/enterprise IDs.

• This creates a data ownership and corporate compliance issue.

2. Sharing Restrictions

• Chatbots are not shareable securely within the enterprise.

• Limited collaborative use in L&D teams.

3.Data Privacy Concerns

• Notebook LM promises that the data that is uploaded will remain private. But in an enterprise setting that is usually not enough – they will control where the data can be uploaded, and getting approval for uploading the enterprise content in a non-enterprise destination will be an uphill task.

• Potential risk for sensitive corporate learning content.

4.Output Granularity

• Video: Fixed ~6-minute output with minimal control over content segmentation or scenes (unlike tools like Synthesia or Heygen).

• Podcast: Rigid flow, no granular structuring options for L&D-specific needs.

Due to privacy, enterprise access, sharing, and output control limitations, NotebookLM is not currently suitable for enterprise learning and development teams.

• Best fit: Individual trainers or personal productivity—e.g., parsing large documents, generating quizzes.

• Enterprise rating: ⭐⭐ (2/5)This is as of August 2025. We’ll keep watching this space, as future Google updates may address these gaps and make NotebookLM an enterprise-grade tool.