As AI training becomes one of the fastest-growing drivers of content demand, the organizations that move early stand to capture the most value. Media catalogs that once sat dormant are now highly sought-after for model training, making rights-cleared content and structured metadata key resources in the AI economy. While most AI conversations focus on what the technology creates, this session flips the script, examining what AI consumes and how content owners can profit from being at the front of that value chain. Drawing on real-world experience from the front lines of data licensing at Shutterstock, this session will outline the types of content currently in demand and how that demand varies across use cases. Further, it will examine how organizations can unlock new revenue streams by packaging and licensing their archives for AI training, while maintaining control over intellectual property. For many rights holders, the idea of licensing content for AI training raises real questions about control, attribution, and long-term IP value. Attendees will gain insight into emerging deal structures—including bulk dataset licensing, ongoing data partnerships, and revenue-sharing models—and leave with a clear framework for activating their archives in the AI economy.