Group 1 - The core viewpoint is that while AI valuations are currently high, they do not yet reach a level of irrational exuberance or a bubble [2][45][56] - Market bubbles are driven by psychological factors rather than innovation itself, and the current market sentiment around AI does not exhibit extreme irrationality [2][47][56] - Historical context is provided through references to past market bubbles, such as the dot-com bubble and the 2008 financial crisis, emphasizing the importance of understanding market psychology [2][36][45] Group 2 - The 35th anniversary of Howard Marks' memos highlights the evolution of his investment philosophy, which emphasizes long-term performance and risk management [3][5] - Marks discusses three common psychological misjudgments during bubble periods, including the assumption that leading companies will always be winners and the belief that second-tier companies can also succeed [53][54] - The current market environment is characterized by high expectations for AI, but it is still uncertain how these technologies will manifest and impact the market [55][90] Group 3 - The S&P 500 is currently considered expensive, with a forward P/E ratio of approximately 24, compared to a historical average of 16, indicating a need for cautious valuation assessments [85] - The quality of S&P 500 companies has improved, justifying higher valuation multiples, but this optimism must be balanced with historical caution against assuming "this time is different" [87][88] - The discussion around value investing versus growth investing reflects a broader debate on how to approach investments in emerging technologies like AI, which are inherently speculative [75][79]
霍华德·马克斯最新对话:AI现在还不是泡沫,也还没有疯狂
Xin Lang Cai Jing·2025-10-14 07:17