Serenity: AI Impact Comparable to Industrial Revolution, Capital Spending Yet to Show Clear Inflection Point Signal

June 16: A report from Serenity notes that the firm believes AI is the most disruptive technology in human history, with an impact on par with the Agricultural and Industrial Revolutions. Leading the race toward "superintelligence" are companies like OpenAI, Anthropic, and xAI. Their long-term economic effects—difficult to fully quantify—include transformative medical breakthroughs (e.g., cancer treatments), accelerated scientific research (such as quantum computing), and broad productivity gains. However, AI also carries risks: it could drive structural labor force displacement, lift corporate profit margins over the medium to long term, and reshape the trajectory of macroeconomic growth. From a macro and industry structure perspective, the U.S. government has clear strategic incentives to advance AI infrastructure development—driven by priorities like military capabilities, cybersecurity, and U.S.-China tech competition to avoid falling behind. As a result, even though short-term commercial returns from AI model training and inference have not yet fully covered costs, policy support and strategic subsidies are likely to sustain the industry’s continued expansion. On the funding front, cloud and platform giants such as Microsoft, Amazon, and Alphabet rely on strong cash flows to back capital expenditures (capex); by contrast, Meta Platforms and Oracle’s long-term sustainability is more uncertain. Meanwhile, the market is focusing on debt financing and valuation structures related to AI infrastructure, with pressures like rising debt costs and lofty growth expectations weighing on companies such as CoreWeave. While the market harbors some concerns about "circular financing" and "order flowback"—such as long-term procurement agreements between cloud providers and GPU suppliers, or capital closed-loop structures between NVIDIA and AMD, downstream cloud providers, and emerging cloud service providers—historical experience shows that similar worries usually resolve or correct themselves as performance is verified. Additionally, upstream supply chains for semiconductors and optoelectronic communications (including storage and high-speed interconnect domains) remain in a demand expansion phase, not at a bubble stage. The core market variables to watch right now are three: whether AI capex has peaked, risks from OpenAI-related financing or demand chain disruptions, and whether the Federal Reserve will tighten liquidity prematurely amid trade-offs between inflation and growth. With no clear inflection signals, the general market consensus is that the AI-driven capex cycle will continue for at least another intermediate stage.