Serenity: AI Impact Comparable to the Industrial Revolution; Capital Spending Has Yet to Show a Clear Turning Point

Huo Xing Cai Jing reports that on June 16, Serenity stated that they personally believe AI is the most disruptive technology in human history, with an impact potentially comparable to the Agricultural or Industrial Revolutions. Companies such as OpenAI, Anthropic, and xAI are driving a race toward “superintelligence,” whose long-term economic effects may be difficult to quantify—including medical breakthroughs (e.g., cancer treatments), accelerated scientific research (e.g., quantum computing), and overall productivity gains. At the same time, AI could also lead to structural labor displacement, significantly boosting corporate profit margins over the medium to long term and reshaping the trajectory of macroeconomic growth. From a macroeconomic and industrial structure perspective, the U.S. government also has strategic incentives to continuously advance AI infrastructure development, particularly in military capabilities, cybersecurity, and technological competition, to avoid falling behind in the U.S.-China tech rivalry. Therefore, even if the short-term commercial returns from AI model training and inference have not yet fully covered costs, policy support and strategic subsidies may still sustain industry expansion. On the funding side, cloud and platform giants such as Microsoft, Amazon, and Alphabet are supporting capital expenditures with strong cash flows, while the sustainability of Meta Platforms and Oracle remains more contentious. Meanwhile, markets are beginning to scrutinize debt financing and valuation structures tied to AI infrastructure, such as potential pressures faced by companies like CoreWeave between debt costs and growth expectations. Although market concerns exist regarding potential bubbles in “circular financing” and “order backflows” (e.g., long-term procurement agreements between cloud providers and GPU supply chains), such as the capital闭环 structure between NVIDIA, AMD, downstream cloud providers, and new cloud service providers, historical experience suggests that similar concerns often diverge or are corrected as performance metrics are validated. At the same time, upstream semiconductor and optical communications supply chains—including storage and high-speed interconnects—are still widely viewed as being in a phase of demand expansion rather than at the peak of a bubble. Current market focus centers on three key variables: whether AI capital expenditures have peaked, whether risks related to OpenAI-related financing or demand chain transmission are emerging, and whether the Federal Reserve will tighten liquidity prematurely due to trade-offs between inflation and growth. In the absence of clear turning-point signals, the market generally assesses that the AI-driven capital expenditure cycle is likely to persist for at least another medium-term phase.