ClawdBot may be a direction for future (at least in the next two years) consumer (of course also including enterprise) AI application deployment — the ultimate agentification, which is also very likely to change personal computing (edge computing). Applications like ClawdBot are essentially long-term resident intelligent agents. The model is responsible for "thinking," but the local system handles "doing": listening to events, maintaining state, scheduling tools, executing commands, managing permissions. This directly shifts the focus of hardware. Local GPUs do not need to be the core computing power, only responsible for interface rendering, browser automation, and a small amount of fallback computation; integrated graphics are basically sufficient. However, CPUs cannot be simplified; instead, their status is elevated. Agent-type applications highly depend on single-core performance, low-latency response, frequent context switching, and IO capabilities. They do not require many cores, but rely heavily on "on-demand" execution ability; they do not pursue peak computing power but demand 24/7 low-power residency, quick wake-up, and stable controllability. In other words, local (edge) CPUs are shifting from general-purpose computing to system hubs. And local (edge) GPUs running common, high IO, low latency inference in future computers (or smartphones) are not for running the largest models, but for hosting a smart agent that can act at any time. We can already faintly see the future application forms and computing architectures.