BlockBeats News, June 16th, Serenity's publication stated that he personally believes AI is the most disruptive technology in human history. Its impact may be comparable to the Agricultural or Industrial Revolution. Enterprises such as OpenAI, Anthropic, and xAI are leading the race towards "superintelligence," with long-term economic impacts that may be challenging to quantify, including medical breakthroughs (such as cancer treatment), accelerated scientific research (such as quantum computing), and overall productivity enhancement. At the same time, AI may also bring about structural labor force replacement, significantly increasing corporate profit margins in the medium to long term and reshaping the macroeconomic growth path.

From a macro and industry structure perspective, the U.S. government also has a continuous strategic motivation to drive AI infrastructure development, especially in terms of military capabilities, cybersecurity, and technological competition to avoid falling behind in the U.S.-China tech race. Therefore, even though the short-term commercial returns on AI model training and inference have not fully covered costs, policy support and strategic subsidies may still support the continued expansion of the industry. At the funding level, cloud and platform giants such as Microsoft, Amazon, Alphabet rely on strong cash flows to support capital expenditures, while the sustainability of Meta Platforms and Oracle is relatively more controversial. Meanwhile, the market is beginning to focus on debt financing and valuation structures related to AI infrastructure, with pressures such as debt costs and growth expectations potentially affecting companies like CoreWeave.

Although the market has some concerns about "circular financing" and "order flowback" (such as long-term procurement agreements between cloud providers and the GPU supply chain), such as the capital closed-loop structure between NVIDIA and AMD and downstream cloud providers and emerging cloud service providers, historical experience shows that similar concerns often differentiate or correct themselves as performance is verified. At the same time, the upstream semiconductor and optoelectronic communication supply chain (including storage and high-speed interconnect domains) are still considered to be in a phase of demand expansion rather than at the bubble's end. The current core market observation variables are focused on three main points: whether AI capital expenditures have peaked, the emergence of OpenAI-related financing or demand chain transmission risks, and whether the Federal Reserve will tighten liquidity prematurely due to inflation and growth trade-offs. In the absence of clear inflection signals, the market generally believes that the AI-driven capital expenditure cycle may continue for at least another intermediate stage.