"For my Business of Podcasting class at NYU, I invited my longtime friend and podcast research authority Tom Webster, Partner at Sounds Profitable, to join as a guest speaker. Tom led a terrific discussion on where the next generation of podcast listeners will come from - and we conducted a timely in-class experiment, turning the room into a mini focus group to explore how students reacted to AI-generated podcasts."
"Each student selected an AI-generated show from Inception Point AI, a company churning out hundreds of machine-made episodes each week on every imaginable topic, from The Disappearance of Agatha Christie to How to Make Vegetables Shine. They chose one that looked interesting from roughly 450 available shows, gave it a listen and rating, with 1 being the lowest and 5 being the highest quality. High scores were rare. Reddit and How to Train Your Dog managed to earn 4s. Most of the others hovered in the middle or lower."
Students in a Business of Podcasting class at NYU listened to AI-generated shows produced by Inception Point AI and rated them on a 1-to-5 quality scale. Each student chose from roughly 450 available episodes and submitted a rating. High scores were rare and the average rating was 2.3. Instructional shows performed relatively better because listeners sought factual information rather than personality. Many students reported that the conversations sounded flat, too perfect, and oddly emotionless, and that they would have suspected AI authorship. Students missed anecdotes, opinions, and host credentials that build trust, and said that being human still matters for podcast appeal.
Read at RAIN News
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