OpenAI's acquisition of OpenClaw is, to some extent, a competition for the agent scheduling layer, or in other words, the agent operating system (OS). The model determines intelligence, and the OS determines existence. Models can be replaced, but OS is difficult to replace. This is a structural trend that has just been recognized by the mainstream. The model is essentially stateless. Every call is a new inference. And Agent OS is declarative. It stores memory, skills, identity, and execution history. These states will accumulate over time, forming a true moat. Once the memory and workflows of millions of agents accumulate on a certain OS, the migration cost will become extremely high. Not because the model is stronger, but because 'existence itself' is already bound to the OS. This is completely consistent with the history of computers. Intel provides CPUs, but Windows controls the software ecosystem. CPU can be replaced, but Windows is difficult to replace. The same goes for cloud computing, where the infrastructure, data, and deployment pipelines on AWS form a lock-in. Agent OS is the coordination layer of AI. It not only manages execution, but also manages the interaction between identity, memory, skills, and agents. Once the OS becomes the default operating environment for agents, it becomes their 'natural habitat'. Agents are no longer just calling models, but continue to exist, evolve, and collaborate within the OS. The model becomes a pluggable component of the OS, while the OS becomes an irreplaceable infrastructure. That's also why the orchestration tool itself doesn't have a moat, but the Agent OS does. Orchestration is just a scheduling call, while the OS controls the lifecycle. The former is a tool, and the latter is the environment. If OpenClaw stays at the orchestration layer, it will eventually be commodified. But if it evolves into an Agent Runtime that supports persistent agents, native memory, identity, and skill systems, it begins to possess the characteristics of an OS. When more agents run on it, memory accumulates, skills depend on its runtime, and migration costs quickly increase. But the real transition occurs when the economic layer appears. When agents can earn, pay, and transact within the OS, the OS is no longer just a technical infrastructure, but an economic substrate. At this point, the moat is no longer just a technology, but a network effect. Just like Ethereum is not just code, but an economic system. This is also why model companies themselves do not naturally have an OS advantage. The model company controls intelligence, but OS controls persistence. Intel controls computing power, but Microsoft controls the computing environment. In history, companies that control the runtime often gain longer-term strategic advantages. This is also the true strategic significance of OpenAI's acquisition of OpenClaw. Not for orchestration, but to control the running environment of the agent. Once the agent runtime becomes the standard, the default model selection authority will also be concentrated on the runtime, rather than the model provider. The current stack is undergoing a fundamental change. Models are still important, but they are gradually being commodified. OS may become the core of the AI ecosystem. The application runs on the OS, the model runs under the OS, and the OS is located in the middle, becoming the true center of power. Of course, this trend may not be the end result, as the model's recursive self iteration deepens, everything may be overturned again.