In The Voice of Retail podcast first, Michael LeBlanc presents an episode entirely generated by Google's Notebook LM AI using only a PDF of his annual Retail Council of Canada NYC NRF Big Show retail tour. Despite minor geographical mix-ups and a bit of weirdness at the very end, the AI creates a remarkably coherent retail analysis, creating two virtual guests who have an engaging conversation about the tour and showcase the technology's impressive potential.
In the latest groundbreaking episode of The Voice of Retail podcast, host Michael LeBlanc presents a true innovation in nearly 500 episodes of broadcasting – the first 100% AI-generated episode, created entirely by Google's Notebook LM AI tool.
This experimental episode marks a significant milestone in retail podcasting. LeBlanc uploaded a PDF of his popular annual NYC NRF Big Show retail tour – a document typically used to guide dozens of top Canadian retailers through New York's most innovative stores during the National Retail Federation's Big Show event. The same document is made available by the Retail Council of Canada and generous sponsors at retailcouncil.org.
What makes this episode particularly fascinating is witnessing how the AI interprets and transforms a static document into dynamic podcast content. The AI successfully captures the essence of the retail tour, discussing trends, store concepts, and retail innovations highlighted in the PDF. Despite being entirely machine-generated, the episode maintains the informative tone and retail expertise that regular listeners expect from The Voice of Retail.
The AI does stumble in ways that reveal its limitations – most notably by incorrectly placing some stores in SoHo when they're located elsewhere in Manhattan. This geographical confusion is a gripping reminder of AI's current constraints when working with implied rather than explicitly stated information.
Perhaps the most intriguing aspect of the episode occurs at the very end, where the AI bizarrely creates an unusual interaction between fictional participants – a creative liberty that LeBlanc notes as "super weird" but also oddly compelling in its unexpectedness.
Despite these minor shortcomings, LeBlanc describes the overall quality of the AI-generated content as "stunningly amazing," especially considering the minimal human input involved. The episode successfully covers retail innovations, store designs, merchandising strategies, and customer experience elements typically highlighted during the in-person tours.
Beyond being a technological novelty, this episode raises fascinating questions about the future of content creation in retail analysis and business podcasting. It demonstrates how AI tools can assist content creators in transforming existing materials into new formats while highlighting areas where human expertise and context remain essential.
For listeners interested in retail innovation and AI capabilities, this landmark episode offers a unique perspective on how technology might complement (rather than replace) human retail expertise in the podcast medium. The complete NYC Store Guide 2025 referenced in the episode can be found on the Retail Council of Canada website, allowing listeners to compare the source material with the AI's interpretation.
Of course, AI-generated this entire show description, and then grammar was checked by another specialized AI!