The episode argues that the next push for edge AI will be economically driven. Model labs benefit from cloud inference, while service providers such as Meta could reduce the cost of always-available agents by using the compute, memory, sensors, and personal context already present on users’ devices. The hosts contrast this strategy with the failed hardware-first AI PC campaign, explore how natural-language agents could replace fixed apps and interfaces, and present the edge device as a context-aware layer that decides where work should run. Qualcomm’s acquisition of Modular is discussed as a possible software foundation for deploying agents across diverse hardware. The episode closes by arguing that Google has the assets to lead but is being outpaced by Meta’s consumer product execution.