I recently explored Google’s NotebookLM, an experimental AI tool that shows impressive potential in making academic research more accessible. I tested it with a forthcoming paper I co-authored on Strategy and AI, which will be published in Strategy Science (co-authored with Hyunjin Kim and Harsh Ketkar), and the results were fascinating.
NotebookLM transformed our paper into an engaging podcast-style conversation between two AI hosts. While not perfect—there were a few pronunciation hiccups and many nuances lost—the overall quality was remarkable. It captured key ideas and presented them in a digestible format, something that would take a professional podcaster at least a full day to produce.
This tool has the potential to bridge the gap between academic research and a broader audience. Executives, undergraduates, and MBA students could gain easier access to ideas typically confined to academic circles. It’s exciting to imagine future iterations—perhaps interactive conversations, video presentations, or even VR expeditions into papers.
Of course, NotebookLM isn’t a replacement for deep engagement with research. For PhD students and scholars, it’s important to dive into full papers, understanding the underlying literature, methods, data, and nuances. But as a complementary tool, it could be valuable for a broader audience to discover and initially explore new research.
I’m planning to upload podcasts for some of my other papers in the coming days. If you’re curious, you can check out the full paper on Strategy and AI.
I encourage you to try NotebookLM with papers in your field. It’s available at https://notebooklm.google/. I’m curious to see how tools like this might shape the future of knowledge dissemination and academic discourse.
I can see an explosion of information about to happen. Today, research is hard to access because it’s written in a complex, academic style. In the future, every research paper will likely have several simpler versions, like those created by tools such as NotebookLM. However, this might lead to a new problem: knowledge may then become hard to access because there will be so much of it. A piece of the puzzle that is missing is a system that will guide us toward the knowledge that is most useful for each one of us.
What are your thoughts on AI-powered research tools like NotebookLM? How do you see them impacting academic and professional learning?
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