能源、必选消费和美债领涨2026：华尔街的“AI交易”，正在被AI自己颠覆

Core Viewpoint - The consensus in the capital markets has shifted to the understanding that while AI continues to evolve rapidly, the methods of betting on AI are becoming systematically ineffective [1][3]. Group 1: Market Dynamics - The S&P 500 index experienced its worst weekly performance since November, stabilizing only after mild inflation data was released [2]. - The recent market volatility is not driven by macroeconomic data changes but by a deeper fear that AI is transitioning from a growth engine to a risk amplifier for assets [2]. Group 2: Impact on Valuation - The emergence of AI is not a signal of its failure but a necessary evolution of investment logic [3]. - AI's impact is causing a decline in the marginal value of labor, affecting industries heavily reliant on high-skilled white-collar workers, leading to a revaluation of profit margins in sectors like software and financial services [7]. - The recent sell-off has primarily affected light-asset industries, where profit margins have been recalibrated due to AI's influence [7]. Group 3: Shifts in Investment Preferences - As AI disrupts high-paying white-collar jobs, sectors like energy, essential consumer goods, and U.S. Treasuries are emerging as new safe havens for capital [8]. - This shift is not merely a style rotation but a re-evaluation of "irreplaceability," with energy becoming more akin to a public good due to increased demand from data centers [8]. - Essential consumer goods are gaining strength as they remain stable in demand despite AI advancements, providing defensive value in uncertain times [8]. Group 4: Future Investment Landscape - The investment landscape in 2026 will not be about abandoning AI but rather about identifying asset forms that are least likely to encounter issues during AI's expansion [10]. - The focus will shift from companies that merely tell the best AI stories to those whose demand remains intact or grows passively, even with widespread AI adoption [10]. - Industries that are capital-intensive, resource-constrained, or have physical or regulatory barriers are re-entering the core asset category, while those relying on human premiums and complex processes face stricter scrutiny [10]. Group 5: Conclusion on AI's Role - The key takeaway for investors is not whether AI will continue to develop, but how it is differentiating the risk attributes of assets [12]. - AI is still a crucial long-term variable, but it no longer guarantees high valuations or returns, as it can create both winners and losers [12].