AI as Mass IP Appropriation: Historical Parallels

Gutted by AI larceny and glutted by an avalanche of shows, the podcast economy is in deep crisis. So says Marshall Poe, founder of The New Books Network, a publisher of almost 30,000 independent podcasts. Things really are that bleak, Poe insists. Drawing parallels between today's AI content appropriation and Napster's music piracy in the late Nineties, he argues we've entered an era where "the theft of IP is an accepted business model." AI companies appear to scrape podcast content without permission or payment, then repackage it as their own product. Meanwhile, the market drowns in a vast ocean of shows, with AI-generated podcasts now flooding platforms at unprecedented scale—one company claims profitability with just 20 listeners per episode while producing 3,000 episodes weekly. For independent creators lacking deep pockets or legal teams, podcast economics have become impossible. "The cost of that theft has gone to zero," Poe explains, describing an environment where authentic human voices struggle to survive against algorithmic content mills that operate without either the constraints of paying creators or sometimes even acknowledgement of IP law. It’s like 1999 all over again, he warns. But this time around, it’s AI, not Napster, that is now radically rewriting the rules of the creative economy.

1. AI content appropriation follows historical patterns Poe argues current AI practices mirror past disruptions like Napster - companies take content without payment, repackage it, and profit from advertising. The core business model isn't new, just more efficient.

2. The podcast market has reached unsustainable saturation With millions of podcasts and AI companies producing thousands of episodes weekly, discovery has become nearly impossible for independent creators. Poe describes the market as "beyond glutted."

3. Content creators lack power to protect their work Small operations like Poe's New Books Network have no way to detect if AI companies are scraping their content and no resources to fight back even if they discovered it. The power asymmetry is stark.

4. Authentic human voices may survive through alternative funding Poe sees hope in foundation support and direct audience relationships for podcasts that build trust around authenticity. Traditional advertising models may fail, but mission-driven content could find other revenue streams.

5. Starting a podcast in 2025 is economically irrational Poe bluntly advises against launching new podcasts unless creators have other motivations beyond making money. The combination of oversupply and AI competition has made the economics impossible for newcomers.

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