“聪明资金”怎么看市场？科威特投资局掌门人与霍华德·马克斯的交流，深谈风险、人工智能与私募股权领域

Core Viewpoint - The best way to invest in AI for sovereign funds and large capital allocators is to invest in AI infrastructure, such as data centers, energy, electricity, and network connectivity [1][72]. Group 1: Investment Philosophy - Long-term investors should ignore short-term market noise and focus on identifying global opportunities where the market misjudges risk [7][8]. - Successful investment requires a clear long-term strategy, a rigorous execution process, a capable team, and the courage to make decisive choices when opportunities arise [7][8]. - Risk awareness and understanding what is suitable for the institution are more important than merely pursuing maximum returns [18][22]. Group 2: Private Equity Challenges - The private equity industry has accumulated significant issues over the past few years, including valuation expansion, leverage use, and exit bottlenecks, which are now becoming real pressures [3][50]. - There are three core issues in private equity: weak due diligence, lack of exit options, and "scale drift" where fund sizes grow without a corresponding increase in target investments [51][52]. - Approximately $3 trillion in private equity portfolio companies have not exited, and many are approaching the end of their fund lifecycle, creating a perfect storm for the industry [54][60]. Group 3: U.S. Market Position - Reducing exposure to the U.S. market requires careful consideration of the consequences, as the U.S. still has the largest fixed income, private equity, real estate, infrastructure, and credit markets [27][31]. - The U.S. remains an attractive investment destination due to its vibrant economy, respect for free markets, and strong capital markets [34][35]. Group 4: Public vs. Private Markets - In public markets, the biggest risk comes from index investing, where the top five stocks in the S&P 500 now account for nearly 30% of the index, creating a concentration risk [42][43]. - Active management is making a comeback as investors seek to avoid risks associated with concentrated positions in public markets [46]. - In private markets, the current environment is challenging, with many funds struggling to exit investments, leading to a focus on secondary markets as a potential solution [62]. Group 5: AI Investment Strategies - Investing in AI should focus on infrastructure enablers rather than direct investments in AI companies, as the latter may carry higher risks [72][73]. - A smart investment approach in AI infrastructure could involve structured deals that resemble debt investments, providing stable returns with lower risk [76][77]. Group 6: Learning from Mistakes - Acknowledging and learning from mistakes is crucial for investment success, emphasizing the importance of refining processes rather than relying on luck [83][84]. - Good investment decisions often involve patience and the choice to refrain from acting in uncertain situations [86].