Recently, Dario Amodei, the CEO of Anthropic, has urged a deceleration in the advancement of state-of-the-art AI models, advocating for a period dedicated to safety research and risk mitigation. This stance was quickly echoed by Sam Altman, CEO of OpenAI, and Elon Musk, founder of SpaceX. This collective call has sparked concerns in the market regarding the investment outlook for AI infrastructure, exerting downward pressure on overseas chip stocks and causing a split in the technology sectors of A-shares and Hong Kong-listed stocks. Amid the potential deceleration in the evolution of cutting-edge models, will the demand across the AI industry supply chain be impacted? Institutions argue that it's crucial to differentiate between the speed of model development and the surge in computing power demand. At present, enterprise applications and inference services are still on an upward trajectory, and the ongoing debates do not yet substantiate the claim that AI capital expenditures have entered a phase of contraction. Nevertheless, investors are heightening their focus on the origins of demand, commercial returns, and the delineation of safety parameters.