The current AI boom isn't a speculative demand bubble. Real companies are paying for and getting value from AI, creating a supply shortage, not an overhang. In the long term, the market's disruptive potential is actually undervalued.

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.

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.

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 AI era's high velocity of change, where market leaders can be displaced in 1-2 years, resembles the volatile dot-com bubble, not the last decade's predictable SaaS growth. This means founders must consider that even massive scale doesn't guarantee durability, making exit timing a critical strategic question.

Sam Lessin predicts massive losses for seed VCs backing companies branded as "AI businesses." These ventures are too capital-intensive and commoditizable to generate traditional venture returns, even if they become massive. AI should be a tool, not the business model itself.

The most immediate systemic risk from AI may not be mass unemployment but an unsustainable financial market bubble. Sky-high valuations of AI-related companies pose a more significant short-term threat to economic stability than the still-developing impact of AI on the job market.

The hype and potential bubble in AI are concentrated in private markets, evidenced by vendor financing and easy credit for any AI-linked venture. In contrast, public markets are viewed as more realistic, and the high concentration in top tech stocks is not statistically correlated with poor forward-looking returns.

The risk of an AI bubble bursting is a long-term, multi-year concern, not an imminent threat. The current phase is about massive infrastructure buildout by cash-rich giants, similar to the early 1990s fiber optic boom. The “moment of truth” regarding profitability and a potential bust is likely years away.