Over 30% of new podcasts are AI-generated audio rather than human-created content, according to Listen Notes, a podcast search engine and database. The platform emphasizes that while many services claim to host over 3.7 million podcasts, most inflate their numbers by including deleted podcasts, low-quality feeds, and AI-generated content. Listen Notes distinguishes itself by using automated systems and human moderators to curate only authentic, human-crafted podcasts.
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Listen Notes, a podcast search database, reports that over 30% of newly created podcasts consist of AI-generated audio rather than human-created content. The platform distinguishes its own database of 3,793,012 podcasts by filtering out AI-slop, deleted podcasts, and non-audio content that other services include in their counts.
Why it matters
The proliferation of AI-generated podcasts dilutes the quality and discoverability of genuine human-created audio content. For listeners and creators, this means the true volume of authentic podcasts is substantially lower than headline numbers suggest—a distinction that affects how the industry measures growth and success.
What to watch
Listen Notes uses 24/7 automated scripts and human moderators to maintain its database of genuine podcasts, setting a standard for quality curation in an industry where inflated podcast counts are now common practice.
Listen Notes reports that the podcast landscape contains at least 3,793,012 podcasts and 191,910,918 episodes globally. However, the company notes that other websites and apps often claim higher numbers by inflating their databases to include podcasts that were deleted long ago, very low-quality content such as feeds with no episodes or just short test clips, AI-generated audio, and non-audio content like RSS feeds containing only PDFs. Over 30% of newly created podcasts fall into the AI-generated category, representing a significant portion of apparent growth in the medium. Listen Notes distinguishes its own database by employing 24/7 automated scripts and human moderators to ensure it includes only genuine, human-crafted podcasts and excludes AI-generated content and other low-quality material. This curation approach reflects a broader tension in the podcast industry between raw volume metrics and actual content quality, as the ease and low cost of AI audio generation have made it possible to flood podcast directories with automated content.
The podcast industry's headline numbers have long obscured a quality problem. While various platforms claim to host over 3.7 million podcasts, most of those counts include abandoned feeds, test clips, and other low-signal content. Listen Notes' finding that 30%+ of new podcasts are AI-generated represents a visible symptom of a deeper issue: as podcast creation tools have become cheaper and easier (especially with AI audio generation), the barrier to publishing has dropped, but the barrier to creating something worth listening to has not. The platform's transparency about its curation process—using both automated filtering and human review—positions it as a counterweight to services that maximize headline numbers over signal quality. For the broader industry, this distinction matters: if a third of new podcast growth consists of AI-slop, actual human creator growth is substantially lower than raw upload counts suggest.
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