Why investors can fail if the AI revolution succeeds source

1. The development of AI technology and the economic success of AI companies are separate. The rail revolution of the 19th century bears a resemblance to the current AI investment cycle

2. Railroads changed the world, but many railroad investors lost money. Overinvestment and competition have caused many rail companies to go bankrupt, and others, such as distribution/agriculture using inexpensive transportation infrastructureHuge value has been created in the industry

3. Right now, AI may be in a similar phase. Astronomical capital is being injected into the data center, but it is not yet clear whether the final demand will grow fast enough to justify it.

4. The most successful AI monetization market so far was coding. The problem is next. In office, corporate agents, and consumer services, the adoption rate is as high as coding,Only when willingness to pay appears can we justify the current size of the investment

5. Improving model performance is not a proportional increase in profitability. With competing models chasing fast and prices dropping, value is likely to shift to apps and industry-specific solutions that leverage this over models

6. Economic value always moves to scarce places. AI infinitely improves knowledge and codeIf it can be produced, the core is customer interest and trust, industry-specific context, and the ability to make decisions and take responsibility in the face of uncertainty

7. However, it is also true that the current demand for AI infrastructure is strong. Short-term supply shortages and long-term overinvestment coexist. What matters is not only how much AI demand grows, but whether that demand can keep up with the pace of facility investment growth.

8.Even if some of the bubbles collapse, the AI revolution itself does not fail. Rather, a true app revolution may begin on top of the cheap infrastructure left behind by overinvestment

9. It's not about believing in the future of AI, but about distinguishing who makes the money, who overpays, and how much expectations are reflected in the current stock price as that future becomes a reality.