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A top TMT dealmaker predicts AI will find novel applications and audiences for existing content. This will increase the value of familiar, seasoned media libraries rather than devaluing them with new, AI-generated creations.

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As AI drives down prices in many industries, assets that cannot be easily devalued by it will become relatively more valuable. This includes not just land and metals, but also unique human content and experiences, which consumers will seek out as an alternative to what they perceive as 'AI slop'.

As AI drives the cost of content creation to zero, the world floods with 'average' material. In this environment, the most valuable and scarce skill becomes 'taste'—the ability to identify, curate, and champion high-quality, commercially viable work. This elevates the role of human curators over pure creators.

Larry Ellison's focus on Oracle's AI and his son David's acquisition of Paramount's IP is not a hedge. It's a unified bet that generative AI will enhance the value of existing intellectual property rather than make it obsolete, creating a future where both algorithmically generated and human-created content appreciate together.

While AI could lower production costs for studios like Paramount, its greater impact may be empowering millions of creators on platforms like YouTube. This could create a competitive "sea of content" that erodes the value of the very IP being acquired, presenting a major threat that legacy media isn't discussing.

While Generative AI will dramatically lower content creation costs, it will also lead to a massive explosion of new content. This dynamic decreases the value of existing IP libraries but massively benefits distribution platforms like Netflix and YouTube, which aggregate eyeballs and win in a world of content abundance.

A flood of low-quality AI content won't devalue human creators. Instead, it makes established, authentic voices more valuable. In a noisy environment, consumers will gravitate towards the human connection and trust that AI cannot replicate.

Initially dismissing AI for creative tasks, media companies now recognize its inevitability. The key to adoption is framing AI's value around revenue generation (making more money), which is a far more compelling business case than simply cost-saving (e.g., reducing producer headcount).

While AI lowers the barrier to content creation for everyone, it simultaneously increases the value of uniquely human contributions. As AI-generated content becomes commoditized, attributes like lived experience, distinct perspective, and true originality will become the key differentiators for creators.

Historically, the value of content IP like scripts and music declined sharply 30-60 days after release. AI tools can now "reimagine" these dormant libraries quickly and cost-effectively, creating new derivative works. This presents a massive, previously untapped opportunity to unlock new revenue streams from back catalogs.

As AI makes content creation increasingly commoditized, the most durable and lucrative asset will be unique, ownable intellectual property like characters and storylines. This is because AI can replicate style and function, but it cannot replicate established brand equity and narrative ownership.