ClawdBot may be a direction for the future (at least in the next two years) for the implementation of AI applications on the consumer side (and of course also on the business side) --- extreme agentification. This is 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 is responsible for "doing": listening for events, maintaining state, scheduling tools, executing commands, and managing permissions. This directly changes the focus of hardware. The local GPU does not need to be the core computing power; it only needs to handle interface rendering, browser automation, and a small amount of fallback computing, so integrated graphics are basically sufficient. However, the CPU cannot be simplified; instead, its status has been elevated. Agent-type applications highly depend on single-core performance, low-latency response, frequent context switching, and IO capabilities. They do not need to stack core counts but are extremely reliant on "on-demand" execution capabilities; they do not pursue peak computing power but require 24-hour low-power residency, quick wake-up, and stable control. In other words, the local (edge) CPU is transitioning from general computing power to the system's core. Meanwhile, the local (edge) GPU runs common, high IO, low-latency inference. The future computers (or smartphones) are not designed to run the largest models but to host an intelligent agent that can act at any time. We can already vaguely see the future application forms and computing architecture.