The AI applications layer

This is the top of the stack, where AI meets end users: copilots, enterprise knowledge assistants, developer tools, agent workflows and robotics control. It is the layer most people actually touch, and the one where the constraints below become visible as price, speed and what a product can and cannot do. When inference gets cheaper, new applications become viable; when memory or power tightens upstream, application margins and roadmaps feel it. For investors, the application layer is the broadest and most crowded — many names, fast-moving competition — but it is also where durable demand ultimately has to show up to justify the capital pouring into everything beneath it. Read this layer as the demand signal at the surface: the workflows that convert model capability into revenue, and the tell for whether the whole build-out is being absorbed by real usage.