Google's New NotebookLM - Creating a 2 person AI podcast from your docs!

 
 
 
 
 

There seems to be quite a lot of buzz about Google’s new AI tool, NotebookLM and how it can potentially impact the world of podcasting. 

As a podcast producer and founder of podcast production agency, Bamby Media, I’m always testing new tools to see how they can benefit (or hinder) the industry I love so much. 

Armed with a healthy dose of hope and scepticism, I decided to give Google NotebookLM a whirl to see whether the podcasting world should be worried. 

What is Google NotebookLM 

Google NotebookLM offers something quite innovative: the ability to upload a document and transform it into an AI-generated podcast with two speakers. It has other functions too, but I’m focusing on the AI podcasting elements for this review. 

Imagine the possibilities for someone who has a plethora of documents from a thesis or a PhD and wants to make this content more accessible and engaging. Google NotebookLM could be a transformative tool for making dense information digestible.

My First Impression

Upon uploading one of my own articles, I immediately noticed the AI-generated dialogue format. The back and forth between the AI speakers felt surprisingly natural, echoing real-life conversations. I found this aspect fascinating because the goal here is to create engagement as authentic interactions do. The audio quality itself is quite good, though there is a subtle digital undertone that might give away the AI's identity if you listen closely. It also exports the audio in mono and at a tiny bit rate. You can hear it lacks depth, but I wonder if that’s just for the discerning listener.

The Pros: Potential Use Cases

The first thing that struck me is the potential for using this tool to repurpose and share comprehensive content internally or externally without the need for a traditional host. If you’ve got research-heavy or information-rich documents, this tool could help convey those insights in a more accessible auditory format. For internal communication or membership-based platforms, having a dynamic duo discussing your prepared content could be a more engaging way for your members or staff to learn about new offerings.

I could also see it being useful if you wanted to prepare a “daily news” type podcast where you put together an article and then NotebookM makes it possible to turn that article into a “podcast” conversation. 

It has some interesting applications that could be quite useful and time saving.

The Cons: A Few Hiccups

Despite its wonders, Google NotebookLM isn’t without its shortcomings. It might skip details or lack the nuanced depth of a full-length YouTube guide, proper podcast episode or article. Also, it doesn't entirely capture the authentic, spontaneous nature that characterises most podcasting genres, particularly those that thrive on genuine dialogue and human connection, like interviews and storytelling. 

I can see where the AI model has learned conversational flow by incorporating regular interjections, changes in inflection and pace but it does start to feel quite forced the more I listen.

This brings us to an intriguing crossroads: How does AI fit into the world of podcasting, which many of us depend upon not just for information, but for that unique one-on-one connection with speakers and their stories?

Currently, NotebookLM doesn’t give you the option to change the speakers, upload your own voices as one of the hosts or do any kind of customisation. 

But ultimately, do we want more customisation for AI voice models in the podcasting space?

I’m not convinced that humans want to listen to AI voices in podcasting to get their weekly dose of connection with a “podcaster” that isn’t even really a podcaster.

It’s a robot.

I’ve got nothing against robots. They’re pretty damn cool overall, but I want to hear from a real human with complex emotions, lived experience and personality quirks.

While AI-generated content could serve educational or corporate needs, it isn't a substitute for the rich, organic interplay of human conversation that draws people to podcasting.

As exhilarating as this advancement is, I find myself pondering the future of podcast production. Will AI replace us producers, or will it merely serve as another tool in our creative arsenals? 

 

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