NEW NotebookLM Update Is INSANE!

New Notebook LM update is insane. Notebook LM just dropped something crazy. You can now turn your messy notes into perfect spreadsheets in literally 20 seconds. And I'm going to show you exactly how to use this to grow your business. This is going to change everything. Okay, so Notebook LM just rolled out data tables to everyone. And I'm not kidding when I say this is insane because here's what just happened. You know how you have all these messy notes, meeting notes, research papers, client feedback, whatever. and you're like, I need to organize this into a spreadsheet, but that takes forever. Well, now you don't have to do that anymore. Notebook LM will do it for you in under 20 seconds and it's free. Let me show you exactly

how this works. So, first, what is data tables? It's a new feature in Notebook LM that takes any source you upload and turns it into a structured table. You upload your notes, papers, transcripts, whatever. You tell it what columns you want and boom, it creates a perfect spreadsheet with all your data organized and it keeps the citations too, so you know exactly where each piece of information came from. This rolled out to pro and ultra users back in December, but now in January 2026, everyone has it. Completely free. No subscription needed. And this is a gamecher for anyone running a business. Here's why

this matters. Think about all the time you spend organizing data. Client meetings, research, competitor analysis, content ideas, all that stuff is usually scattered everywhere in different notes, different documents, different apps. And pulling it all together into something useful takes hours. But not anymore. Let me show you a real example. Let's say you run the AI profit boardroom and you just had five client calls about AI automation. You've got notes from all five calls, who needs what, what their pain points are, what solutions they're looking for. Normally you'd spend an hour going through those notes, copy pasting into Excel, organizing everything, making it make sense. Now you just upload those five call notes to Notebook LM. Go to studio, click data table, and you type a simple prompt, something like convert my client call notes to a table with columns for client name, main painoint, proposed AI solution, priority level, and next action. 20 seconds later, boom, you've got a perfect spreadsheet ready to export to Google Sheets, ready to use. And here's the crazy part. It doesn't just dump the data. It organizes it intelligently. It pulls the right information into the right columns. It keeps everything clean. It even preserves the source references. So if you need to go back and check something, you know exactly which call it came from. Let me give you another example.

Let's say you're doing competitor research for the AI profit boardroom. You've got articles, blog posts, case studies, all about other AI automation communities. You want to know what they're doing, what's working, what's not. You can spend 3 hours reading everything and taking notes or you upload it all to notebook LM and you prompt it. Make a table of competitor strategies with columns for community name, main value proposition, pricing model, unique features and weaknesses. Boom. Done. You've got a complete competitive analysis in a spreadsheet in less time than it takes to make coffee. Now, at this point, you might be thinking, okay, this sounds cool, but how do I actually use this to grow my business? Great question. And that's exactly what we teach inside the AI profit boardroom. We show you how to take tools like Notebook LM and turn them into actual business systems. Systems that save you time, systems that help you serve clients better, scale. Because here's the thing, having a cool AI tool is one thing, but knowing how to use it strategically is completely different. And that's what separates people who just play with AI from people who actually build businesses with it. Inside the AI profit boardroom, you get the exact processes, the templates, the strategies to turn AI tools into real business results. No fluff, just practical stuff you can use today. But let me keep going because there's more you need to know about data tables. Now

let me walk you through exactly how to use this. First, you go to Notebook LM. You create a new notebook. You upload your sources. Could be PDFs, Google Docs, text files, whatever. Then you go to the studio panel. That's where all the magic happens. You click on data table and now you just type what you want. The prompt is super important. You need to be specific about what columns you want. So instead of saying organize my notes, you say create a table with columns for action item, category, priority, and owner. Be specific. Tell it exactly what structure you need and it will match it perfectly. Then you hit generate. And in about 20 seconds, you see your table full screen, all your data organized. And here's the cool part. If it's not quite right, you can refine it. You can adjust the prompt. You can regenerate. You can tweak it until it's exactly what you need. And when you're happy with it, one click export to Google Sheets. Now you've got a working spreadsheet. You can share it with your team. You can use it for planning. You can update it. Whatever you need. Let me show you some more real world examples because this is where it gets really powerful. Let's say you're creating content for the AI profit boardroom. You've done research on 10 different AI tools. You've got notes on all of them, features, pricing, use cases, pros and cons. You want to turn that into a comparison table for your members. You upload your research notes. You prompt notebook LM. Create a table of AI tools with columns for tool name, primary use case, pricing tier, key features, and best for which business type. 20 seconds. Done. You've got a resource your members can actually use. They can see all 10 tools side by side. They can compare. They can make decisions. Or let's say you're planning

a launch for a new AI automation course. You've got brainstorming notes, ideas from your team, feedback from beta users. It's all over the place. You need to organize it into an action plan. Upload everything to notebook LM. Prompt it. Convert my launch notes to a table with columns for task, department responsible, deadline, status, and dependencies. Now you've got a project plan. Your whole team can see what needs to happen, who's doing what, when it's due. No more confusion. No more things falling through the cracks. Here's another one. Let's say you're tracking the performance of different AI automation strategies for clients. You've got case studies, results, data points. It's all in different documents. You want to see patterns. what's working best. Upload it all. Prompt. Create a table of client results with columns for client industry, AI tools implemented, time save per week, ROI percentage, and implementation challenges. Boom. Now you can see the patterns. You can see which industries get the best results. tools perform best. You can use this data to improve your service to get better results for future clients. And here's why this is so powerful for content creation. Let's say you're making a guide for the AI profit boardroom. Top 20 AI tools every business owner needs. You've done the research. You've tested the tools. You've got notes everywhere. Instead of manually creating that comparison, you let notebook LM do it. Create a table of essential AI tools with columns for tool name, category, free tier available, main benefit, and ideal user. 20 seconds later, you've got the backbone of your guide. You can turn that table into a blog post, a YouTube video, a downloadable resource, whatever you need. And because it kept the citations, you know your information is accurate. You can verify everything. One of the best parts is how fast it is. 20 seconds. That's not an exaggeration. I've tested this. You upload your sources. You type your prompt and before you can even check your phone, it's done. Compare that to doing this manually. Even a simple table takes 30 minutes, an hour, sometimes more. This is a massive timesaver and the accuracy is really good because it's not just grabbing random text. It's actually understanding your sources. It knows context. It knows what information is relevant for each column. It's pulling the right data. And if it's not sure about something, it will leave it blank rather than making stuff up, which is exactly what you want. Another huge

benefit is the citations. Every piece of data in your table links back to the source. So if someone questions a number, you can show them exactly where it came from. You know, if you need to dig deeper on something, you know where to look. This is huge for research, for client work, for anything where accuracy matters and you can iterate. Let's say your first table isn't quite right. Maybe you need different columns. Maybe you need to reorganize the data. You just adjust your prompt and regenerate. It's not like Excel where you're stuck with your initial structure. You can experiment. You can try different approaches. You can find what works best. Let me give you one more example that's really practical. Let's say you're onboarding new members to the AI profit boardroom. You've got intake forms, questions, they answered, their goals, their current situation, their biggest challenges. You want to organize this so you can serve them better. Upload all the intake forms. Prompt to notebook LM. Create a table of new members with columns for name, business type, current AI tools used, biggest challenge, primary goal, and recommended starting point. Now you got a clear picture of your new members. You can see patterns. You can group people with similar needs. You can personalize your support. You can make sure everyone gets exactly what they need. This is how you deliver amazing member experiences. get testimonials. This is how you grow. And the export to Google Sheets is seamless. One click and it's in Sheets. Now you can collaborate. Your team can access it. You can update it. You can share it with clients. You can do whatever you need with it. It's not locked in Notebook LM. It's a real working spreadsheet. Here's something else that's cool. You can combine this with other Notebook LM features like you can create a data table and then use that data to generate a slide deck or you can use it to inform an audio overview as the foundation for a report. It all works together and that's when things get really powerful. Now, look, I know some of you are thinking, is this really free? Yes, it's completely free. Google rolled this out to everyone. You don't need a subscription. You don't need to pay anything. You just go to Notebook LM and start using it. And that's insane. A lot of tools charge for this. But Google is giving it away. So, here's what you need to do. First, go try this today. Don't wait. Go to Notebook LM, upload some notes, create a data table, see how it works, get familiar with it, because once you see how powerful this is, you're going to start finding uses for it everywhere. Second, start thinking about your data. What information do you have that's scattered? What will be useful to organize? Client data, research, content, ideas, project plans. Make a list. And then start using data tables to organize it. You'll be shocked at how much clearer everything becomes. Third, experiment with prompts. The better your prompt, the better your table. Be specific. Tell it exactly what columns you want. Tell it how to categorize things. Tell it what information matters. The more specific you are, the better your results. And if you want the full process, the SOPs and over 100 AI use cases like this one

join the AI success lab. It's our free AI community. Links in the comments and description. You'll get all the video notes from there, plus access to our community of 40,000 members who are crushing it with AI. People who are actually building businesses, actually getting results, actually using AI strategically. Because here's the truth. Tools like Notebook LM are amazing, but tools alone won't grow your business. You need to know how to use them. You need systems. You need processes. You need strategy. And that's what we give you inside the AI success lab and the AI profit boardroom. So go try data tables right now. Upload some notes. Make a table. Export it to sheets. See how fast it is. See how accurate much time it saves you. And then think about how you can use this in your business. Because this is just one tool. Imagine what happens when you master 10 tools, 20 tools, 50 tools. That's when things get really crazy. Comment below and let me know what you're going to use data tables for. I read every comment and I want to hear how you're using this. What tables are you creating? What data are you organizing? What problems are you solving? Let me know. And if you found this helpful, hit that like button. Subscribe if you haven't already because I'm bringing you the latest AI updates every single week. The tools that actually matter, the strategies that actually work. No hype, no BS, just real stuff you can use to grow your business. Go try data tables right now.