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.

Related Insights

Like the dot-com era, many overvalued AI startups will fail. However, this is distinct from the underlying technology. Artificial intelligence itself is a fundamental, irreversible shift that will permanently change the world, similar to how the internet and social media became globally dominant despite early market bubbles.

Similar to the dot-com era, the current AI investment cycle is expected to produce a high number of company failures alongside a few generational winners that create more value than ever before in venture capital history.

According to author Bernd Hobart, bubbles aren't just irrational speculation. Sky-high valuations signal to all players—from power plants to chip fabs to software developers—that the "time is now." This encourages massive, parallel investments that might otherwise be too risky, effectively manufacturing the future just in time.

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.

Overvaluing assets in a new tech wave is common and leads to corrections, as seen with mobile and cloud. This differs from a systemic collapse, which requires fundamental weaknesses like the massive debt and fraud that fueled the dot-com crash. Today's AI buildout is funded by cash-rich companies.

Innovation doesn't happen without risk-taking. What we call speculation is the essential fuel that allows groundbreaking ideas, like those of Elon Musk, to get funded and developed. While dangerous, attempting to eliminate speculative bubbles entirely would also stifle world-changing progress.

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.

A genuine technological wave, like AI, creates rapid wealth, which inherently attracts speculators. Therefore, bubble-like behavior is a predictable side effect of a real revolution, not proof that the underlying technology is fake. The two phenomena come together as a pair.

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.

Investment Bubbles in New Tech Are a Feature, Not a Bug, of the US Economy | RiffOn