ClawdBot may be a future (at least for the next two years) direction for the deployment of AI applications in the consumer (and business) sectors – extreme agentization. This could also significantly change personal computing (edge computing). Applications like ClawdBot are essentially long-term, persistent 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 doesn't need to be the core computing power; it only needs to handle UI rendering, browser automation, and a small amount of fallback computing. Integrated graphics are generally sufficient. However, the CPU is not only not simplified, but its importance is being re-emphasized. Agent-type applications heavily rely on single-core performance, low-latency response, frequent context switching, and I/O capabilities. They don't need to stack cores, but they are extremely dependent on "on-demand" execution capabilities; they don't pursue peak computing power, but require 24/7 low-power persistence, fast wake-up, and stable controllability. In other words, local (edge) CPUs are transitioning from general-purpose computing power to system hubs. Meanwhile, local (edge) GPUs run commonly used, high-I/O, low-latency inference tasks. Future computers (or mobile phones) will not be designed to run the largest models, but rather to host an intelligent agent that can act at any time. We can already vaguely see the future application forms and computing architectures.