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Not all bubbles are equal. Howard Marks separates them into 'inflection bubbles,' which deliver transformative technology despite investor losses (e.g., the internet), and 'mean reversion bubbles,' which offer no lasting societal value.
Citing theorist Carlotta Perez, Gurley argues that only genuinely transformative technologies create bubbles. The rapid wealth creation from the real innovation attracts speculators and charlatans, which inflates the bubble. Therefore, a bubble is evidence of a real shift, not a sign the technology is fake.
Venture capitalist Seth Levine argues that bubbles are an inevitable, and even productive, part of the innovation cycle. While many investments will fail, the frenzy ensures massive capital flows into transformational technologies like AI, allowing the market to eventually find the winning companies and ideas.
The memo argues that the "hysteria of the bubble" compresses the timeline for building out new technologies from decades into just a few years. Patient, value-focused investing would never fund the massive, parallel, and often wasteful experimentation required to jump-start a new technological paradigm at such a rapid pace.
While many early investors in tech booms (e.g., telecom, AI) lose money, these 'bubbles' are not a societal waste. They fund the rapid construction of foundational infrastructure, like fiber optic networks or data centers, creating immense long-term value and options for future innovation that society ultimately benefits from.
Marks emphasizes that he correctly identified the dot-com and subprime mortgage bubbles without being an expert in the underlying assets. His value came from observing the "folly" in investor behavior and the erosion of risk aversion, suggesting market psychology is more critical than domain knowledge for spotting bubbles.
While disastrous for many investors, historical bubbles like the dot-com boom and railway mania left behind massively overbuilt infrastructure (fiber optics, rail networks). This infrastructure became cheap and abundant post-crash, enabling subsequent waves of innovation that benefited society for decades.
Bubbles have a paradoxical benefit. While they cause immense financial pain for investors caught in the crash, the frenzied capital allocation during the boom often funds transformative infrastructure. The railroad and dot-com bubbles, for example, left behind the national rail network and the fiber-optic backbone of the modern internet.
Howard Marks distinguishes between two bubble types. "Mean reversion" bubbles (e.g., subprime mortgages) create no lasting value. In contrast, "inflection bubbles" (e.g., railroads, internet, AI) fund the necessary, often money-losing, infrastructure that accelerates technological progress for society, even as they destroy investor wealth.
The most significant market bubbles, like railroads, the internet, and AI, are driven by genuinely transformative ideas. Their obvious, world-changing potential attracts massive investment, which inevitably gets overdone, leading to a bubble and subsequent crash, even for successful underlying technologies like Amazon.
Marks argues that speculative bubbles form around 'something new' where imagination is untethered from reality. The AI boom, like the dot-com era, is based on a novel, transformative technology. This differs from past manias centered on established companies (Nifty 50) or financial engineering (subprime mortgages), making it prone to similar flights of fancy.