People Inc.’s Jon Roberts on the AI licensing boom – and the revenue lag
People Inc's Jon Roberts discusses the boom in AI content licensing marketplaces -- and the revenue that could materialize for publishers.

The AI licensing market has experienced a surge in recent years, with numerous platforms claiming to offer publishers a new avenue for monetizing their content. However, as Jon Roberts, chief innovation officer at People Inc., noted during his keynote speech at the Digiday Publishing Summit in Vail, Colorado, the actual revenue generated from these deals remains largely unproven. While the number of AI content licensing marketplaces is on the rise, not all of them are likely to deliver significant financial benefits to publishers.
Roberts emphasized that the current landscape is characterized by a boom in companies that promise to sell publishers' content for money, but the actual revenue from these deals has not yet materialized. Despite the increasing number of marketplaces, the economics of this sector are still uncertain. Publishers are eager to explore these new opportunities, but they must be cautious in evaluating the potential returns on investment.
Despite the challenges, Roberts highlighted several opportunities that could generate real revenue for People Inc. and other publishers at scale. One such opportunity lies in the strategic selection of AI marketplaces that offer proven track records and credible partnerships. Publishers should prioritize platforms that have demonstrated success in monetizing content and have a clear understanding of the market dynamics.
Another opportunity arises from the potential for publishers to leverage AI-driven personalization and targeted content delivery. By integrating AI technologies into their content distribution strategies, publishers can enhance user engagement and increase the value of their content. This, in turn, can lead to higher advertising revenues and better monetization opportunities.
Roberts also pointed out the importance of diversifying revenue streams in the face of the uncertain AI licensing market. Publishers should not rely solely on AI marketplaces for their income. Instead, they should explore a variety of revenue sources, such as direct-to-consumer subscriptions, advertising, and sponsored content. By diversifying their income streams, publishers can mitigate the risks associated with the volatility of the AI licensing market.
In conclusion, while the AI licensing market presents exciting opportunities for publishers, it is crucial to approach these developments with caution. The current surge in marketplaces should not be equated with guaranteed revenue. Publishers must carefully evaluate the potential benefits and risks of each platform and strategy. By focusing on credible partnerships, leveraging AI-driven personalization, and diversifying revenue streams, publishers can navigate the uncertain landscape and maximize their potential for growth and profitability. As the AI licensing market continues to evolve, it will be essential for publishers to remain adaptable and strategic in their approach to content licensing and monetization.










