Summary of Key Points
This article analyzes both the short-term uncertainties in current U.S. interest rates, inflation, and Federal Reserve policy (such as the increased likelihood of rate hikes and the contradiction between interest rates and inflation caused by supply-side shocks) as well as the long-term impacts of AI technology on higher education and social screening mechanisms (for example, the diminishing value of college degrees and the future emphasis on vision and the ability to ask meaningful questions). The author also shares personal insights on investing: in the short term, one should follow the facts rather than over-anticipate; in the long term, one must focus on values and vision.
Detailed Breakdown and Interpretation
1. The “Painful Combination” of Interest Rates and Inflation: Another Supply-Side Shock?
Recently, U.S. two-year interest rates have been rising continuously, and ten-year interest rates have broken through a key threshold. What’s more problematic is that both inflation expectations and real interest rates are increasing, yet the yield curve (the difference between short-term and long-term interest rates) is narrowing—this combination is quite concerning as it typically results from supply-side shocks (such as rising oil prices or shortages of raw materials). For instance, this was the case in the second half of 2021, when global supply chain disruptions led to a shortage of goods. The current situation is similar; for example, tensions in the Strait of Hormuz could drive up oil prices and further exacerbate supply-side inflation. This type of inflation is not due to excessive consumer demand but rather issues on the production side, so raising interest rates (which are designed to curb demand) may not be the appropriate response. However, the Federal Reserve might not be too “dovish” (relaxed in its monetary policy) in order to stabilize market expectations.
2. Uncertainty in Federal Reserve Policy: The Odds of Rate Hikes Soar, and We’ll Find Out Next Week
Previously, the author estimated the likelihood of rate hikes at 10%-15%; now that figure has risen to 30%-35%, mainly due to geopolitical risks in the Strait of Hormuz (such as potential conflicts between Iran and the U.S. that could drive up oil prices). The author also mentions that Trump needs to take control of the situation, just as Iran might need to cooperate. There are internal divisions within the Federal Reserve: some members seem to be targeting Warsh (a former Fed official known for his hawkish stance), suggesting a shift towards a more aggressive monetary policy. Therefore, three key events next week—enterprise capital expenditure data (Capex), the Chinese Zijin meeting, and the Federal Reserve’s FOMC meeting—will determine the short-term direction. The author recommends waiting another week to see the outcomes.
3. Investment Strategy: Don’t Overstudy; It’s Never Too Late for Right-Side Trading
The author offers two lessons: first, consensus expectations are often half-right or wrong, so there’s no need to rely on them blindly; second, overstudying is a waste of time—it’s better to act once you spot a clear trend. For example, in the spring of 2023, employment data exceeded expectations, turning the notion that rate hikes would lead to a recession into a joke. Another example is gold: its price rose by 30% from January 2023 to before the interest rate cuts in September 2024, but if you had bought gold just two days after the cuts, the annual gain would have been over 100%. So, even though interest rates and the dollar are currently rising, there’s always the possibility of a reversal. As an investor, it’s perfectly fine to wait for trends to become clear before taking action (right-side trading). In the short term, focus on facts and data; in the long term, consider your values and vision.
4. The Impact of AI on Higher Education: Degrees Are No Longer a “Ticket”
After the Industrial Revolution, universities emerged because there was a demand for skilled workers (engineers), and college degrees became a prerequisite for entering an industrialized society. However, with the advent of AI:
- Access to knowledge has become easier: AI systems like ChatGPT and Gemini know more than many professors do, and they can teach general education content.
- Employment demands are changing: Automation in manufacturing is reducing the need for workers, and services are also being automated (e.g., hotel robots, AI-generated legal documents).
- The value of college degrees is being questioned: People are asking whether a college degree is truly necessary, as entry-level jobs are being replaced by AI, and university education may not provide better practical skills than what companies need.
Possible future directions for universities include:
- Exploring the frontiers of knowledge (e.g., in areas like AI and space);
- Returning to humanistic values (philosophy, ethics);
- Cultivating leaders who possess both strategic thinking and charisma.
5. Changes in Social Screening Mechanisms: From “Degrees” to “Vision”
In the past, universities served as a mechanism for selecting talent—only those with degrees could enter an industrialized society and achieve better social status. In the future:
- Knowledge will no longer be scarce: AI will enable everyone to access high-quality information at low cost.
- Screening criteria will change: Degrees will no longer be the main criterion; instead, people will be judged based on their vision (what they want to achieve) and their ability to ask meaningful questions (since AI can provide answers, but knowing how to ask good questions is more valuable).
- Universities need to adapt: Those that do not change to these new realities (e.g., continuing to teach outdated content) may be replaced by newer screening methods.
The author believes that the pathways to success in society will evolve. People who can ask insightful questions and have clear visions will have a competitive advantage, while universities that fail to adapt may lose their significance.
Conclusion
This article addresses both short-term economic uncertainties (interest rates, inflation, Fed policy) and long-term structural changes (the impact of AI on education and society). The core message is: in the short term, avoid making random guesses; follow the facts. In the long term, focus on your vision, because future competition will not be about how much knowledge you have but about what you want to achieve and what questions you can ask. For individuals, whether investing or personal development, it’s essential to adapt to these changes. Stop clinging to outdated “tickets” (such as college degrees) and instead cultivate your own vision and the ability to think critically.