Control in AI—Episode 2: Governance and Control in AI

AI Antitrust Series. Episode 2: In our second episode, we deconstruct the AI stack (Model → System → Interface) and show how control at the model layer determines access, capabilities, integration, and ultimately who wins the AI economy. We explore why economies of scale, learning effects, and scope make the model layer the main bottleneck. We compare it to the Apple ecosystem and discuss the two competing visions: AI as open infrastructure vs. AI as a tightly controlled platform. By the end of this episode, you will understand why governance is the new question at the heart of AI—not just who gets to build the best model but who gets to decide the rules of the whole system. It’s perfect for anyone who wants to understand the deeper economics and power dynamics behind the AI revolution.Read the full article and graphic analysis:Explore more visual economics content:https://econworks.comYouTube:https://www.youtube.com/@EconWorks-d3eSubstack: This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit blog.econworks.com/subscribe