AI is exploding across three massive and distinct frontiers that are reshaping how we create, discover, and interact with data. First, cutting-edge models like OpenAI’s Sora 2 are revolutionizing online video by delivering photorealistic, synchronized audio-visual content that’s primed for viral social apps but risks flooding the internet with low-effort content. Meanwhile, startups like Periodic Labs are charting a radical new path by building AI-driven physical labs that generate entirely new scientific data — a bold pivot away from relying on the web’s exhausted knowledge base toward real-world experimentation. Finally, powerhouse companies such as Amazon and Meta are racing to upgrade AI infrastructure with smarter devices, custom chips, and integrated agents that make AI interactions more natural, private, and useful at scale.

Across these frontiers, a critical bottleneck emerges: while compute power skyrockets, the supply of high-quality, novel data lags far behind. This scarcity drives innovation in AI training efficiency and highlights the growing need for AI not just to process information, but to actively create it through interaction with the physical world. For marketing professionals and AI enthusiasts alike, understanding this landscape is key to cutting through the hype and spotting where AI is set to generate genuine value — from captivating content to groundbreaking scientific breakthroughs and transformative user experiences. Join us to dive deep and make sense of the forces shaping the next decade of AI innovation.