Summary of Key Points
In July, AI-related stocks experienced a sharp decline due to excessively high valuations and heavy trading volumes, resulting in losses for several hedge funds. However, industry experts believe this was a short-term adjustment of valuations and portfolio positions, rather than a failure of the underlying investment logic in AI. AI investment is transitioning from a phase of "infrastructure building" to one of "commercial application," with investors now focusing on companies that can effectively convert AI technology into tangible profits. The U.S. Treasury Department has increased its bond repurchase operations in an attempt to lower long-term interest rates, but the impact has been limited, as long-term interest rates remain difficult to significantly reduce. The market's reaction to high interest rates varies: strategic investment sectors such as AI and manufacturing are relatively insensitive to interest rate changes, while sectors like consumer credit are under pressure. The future outlook depends on whether companies continue to invest and whether lending conditions remain favorable.
Detailed Analysis
1. The July Drop in AI Stocks: Not a Collapse, but a Bubble Bursting and Portfolio Adjustment
The direct cause of the July decline in AI stocks was their rapid rise and the large number of buyers. Companies in the computing power supply chain, such as Micron and Oracle, saw their prices fall by nearly 50% in a month, mainly because investors had flocked to buy AI infrastructure (chips, data centers), driving valuations to unrealistic levels and creating overcrowded trading conditions. This does not indicate a failure of AI technology; experts see this as a "reset" process, bringing valuations back to a more reasonable range and reducing overly concentrated positions. In August, NVIDIA's earnings exceeded expectations, leading to a surge in its stock price and a rebound in the entire AI sector, indicating that the market still recognizes the long-term value of AI, albeit with less enthusiasm for infrastructure-related stocks.
2. The New Phase of AI Investment: Moving from Building Foundations to Generating Revenue
AI investment can be divided into two stages:
- Stage One (Past): Focused on companies that provide the necessary tools (chips, data centers), as AI development requires hardware support.
- Stage Two (Future): Focused on companies that can utilize these tools to generate revenue and profit. During the adjustment period, software companies performed better, with Microsoft's stock rising by 29% and other software stocks also gaining around 14%. Investors are now distinguishing between companies that merely provide the necessary infrastructure and those that can create actual value through AI applications.
3. The U.S. Treasury Department's Bond Repurchases: Trying to Lower Interest Rates, but with Limited Success
U.S. long-term interest rates have remained high, and the Treasury Department has doubled the scale of its bond repurchase programs (each purchase totaling at least $4 billion) in an effort to lower rates. Experts argue that this is a temporary measure:
- It does not constitute quantitative easing, as the total amount of government debt has not decreased.
- The underlying issues (unclear Federal Reserve policies and large fiscal deficits) continue to drive investors to seek higher returns, making it difficult to lower long-term interest rates.
- The effect of these measures is limited; market interventions often fail to address the root causes, and the dollar may be affected. It is recommended to diversify investments across different countries and currencies.
4. Can the Market Survive High Interest Rates? It Depends on Corporate Investment
So far, the market has not been overwhelmed by high interest rates:
- The stock market has absorbed the increase in interest rates, with bank stocks continuing to rise, and bonds have not attracted a significant outflow of funds from the stock market.
- This is because strategic investment sectors are less sensitive to interest rate changes. Industries such as AI infrastructure, manufacturing, and defense receive policy support or have ample cash reserves, unlike sectors like housing and automobiles, which are more dependent on loans.
- However, there is still pressure: sectors such as housing (high mortgage rates), automobiles (high car loan rates), and consumer credit (high credit card interest rates) are facing challenges.
- The key will be whether companies continue to invest and whether lending institutions are willing to provide credit. If companies reduce investment and lending institutions tighten credit, the market could face difficulties. The real question is not how high interest rates need to rise to cause a crisis, but which companies can still create value through AI or other means.
By breaking down the information in this way, it becomes easier for laypeople to understand the reasons behind the fluctuations in AI stocks, the direction of future investment trends, and the impact of U.S. interest rate policies on the market.