Speculative manias, like the AI boom, function like collective hallucinations. The overwhelming belief in future demand becomes self-fulfilling, attracting capital that builds tangible infrastructure (e.g., data centers, fiber optic cables) long before cash flows appear, often leaving lasting value even after the bubble bursts.

Bubbles provide the capital for foundational technological shifts. Inflated valuations allow companies like OpenAI to raise and spend astronomical sums on R&D for things like model training, creating advances that wouldn't happen otherwise. The key for investors is to survive the crash and back the durable winners that emerge.

History shows that transformative technologies like railroads and the internet often create market bubbles. Investors can lose tremendous amounts of capital on overpriced assets, even while the technology itself fundamentally rewires the economy and creates massive societal value. The two outcomes are not mutually exclusive.

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.

The current massive capital expenditure on AI infrastructure, like data centers, mirrors the railroad boom. These are poor long-term investments with low returns. When investors realize this, it will trigger a market crash on the scale of 1929, after which the real value-creating companies will emerge.

The epicenter of a tech boom is rarely the new technology itself. Instead, capital floods into adjacent, understandable sectors. The dot-com bubble wasn't about software but a massive telecom infrastructure bubble, fueled by debt financing for tangible assets like fiber and buildings.

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.