- Global artificial intelligence (AI) capital expenditure is approaching a historic high of $1 trillion. Goldman Sachs warns that the market is shifting from an early-stage capability race to a competition for substantial monetization, with the existing high valuation logic structure on the verge of reassessment.
- Due to the rapid proliferation of open-source models and local inference solutions, the cost structure of AI applications is undergoing significant compression. Companies are rationally delaying current capital expenditures in anticipation of a substantial decline in future deployment costs, posing a concern for the high valuation multiples in the current market.
- Global semiconductor and hardware-related stocks currently have about $100 billion in leveraged exposure and have attracted deep participation from retail investors. This highly concentrated high-leverage structure is prone to triggering a severe deleveraging chain reaction when market sentiment reverses.
Capital Cycle Shifts from Technology Development to Commercial Monetization
Rich Privorotsky, head of Goldman Sachs' One-Delta trading desk, recently analyzed that the annualized capital expenditure in the global AI sector is reaching a peak of nearly $1 trillion. However, the narrative logic of this tech frenzy is undergoing a fundamental shift. The early capability race, dominated by the pursuit of technological breakthroughs, has concluded, replaced by a competition for substantial profitability. Given the massive investment scale, which implies a high investment return threshold, if companies cannot successfully convert technological applications into quantifiable financial gains in the short term, the overall market's investment enthusiasm may face valuation adjustment pressure.
Cost Plunge Triggers Delayed Spending Decisions
At the application level, the rapid spread of open-source models and local inference solutions is significantly compressing the cost structure of AI deployment. This change in technological pathways has led to a wait-and-see attitude among corporate management. When companies generally expect future technology usage costs to be significantly lower than current levels, delaying current capital expenditures and procurement plans becomes a rational business choice. Analysts believe that if this widespread delay in spending behavior continues to spread, it may pressure the short-term performance of related supply chain companies and pose a direct threat to the high price-to-earnings valuation multiples prevalent in the current market.
Billion-Dollar Leverage Exposure Heightens Market Volatility Concerns
In addition to potential fundamental changes, the structural fragility of the market is also at a high level. Data shows that global semiconductor and hardware-related stocks currently have a total of about $100 billion in leveraged exposure, attracting significant participation from retail investors. This highly concentrated holding structure forms a convex double-edged sword pattern. When market sentiment is optimistic and funds continue to flow in, the leverage effect can significantly boost stock prices; however, if core data falls short of expectations or macro liquidity tightens, a reversal in market sentiment can easily trigger a severe deleveraging chain reaction, thereby increasing the risk of price volatility for related assets.
Power Infrastructure Constraints and Long-Term Trends
Despite facing short- to medium-term correction risks, AI remains a solid foundation for long-term trends. The significant gap in global power infrastructure and the massive scale of infrastructure spending indirectly demonstrate the industry's long-term development potential. However, as the release cycle of new-generation cutting-edge models approaches, investors will increasingly scrutinize the sustainability of returns. In the coming quarters, whether companies can effectively convert technological innovation into tangible revenue growth will become the decisive factor in determining the subsequent trend of the technology sector. If the growth rate of end-user demand cannot match the pace of capital expenditure growth, market pricing may face a more substantial reevaluation.
