The memo details how investors rationalize enormous funding rounds for pre-product startups. By focusing on a colossal potential outcome (e.g., a $1 trillion valuation) and assuming even a minuscule probability (e.g., 0.1%), the calculated expected value can justify the investment, compelling participation despite the overwhelming odds of failure.

Unlike established firms valued on current earnings, AI leaders like Anthropic command massive valuations because investors are betting on a non-zero probability that they could dominate the entire market and become the world's most valuable company, justifying extreme multiples.

Pre-product AI startups are commanding billion-dollar valuations because the barrier to entry has skyrocketed. To build a competitive new foundation model, a startup must be able to raise approximately $2 billion before even launching a product. This forces VCs to place massive, early bets on a very small number of elite, pedigreed founders.

Investing in the world's top AI research teams carries a unique risk profile. While the business outcome has high variance, the capital risk is asymmetric. The founders are so valuable that an acqui-hire is a highly probable outcome, creating a floor on the investment's value.

The startup landscape now operates under two different sets of rules. Non-AI companies face intense scrutiny on traditional business fundamentals like profitability. In contrast, AI companies exist in a parallel reality of 'irrational exuberance,' where compelling narratives justify sky-high valuations.

In AI, companies can reach massive valuations quickly and still offer venture-like returns (e.g., 10x+). This makes traditional stage definitions (early, growth) irrelevant. Investors should ignore stage and focus on the magnitude of the opportunity, whether it's two founders or a $60B company.

Despite soaring seed valuations, the most expensive deals for top-tier AI companies may actually be undervalued. The potential for trillion-dollar outcomes and unprecedented scaling speed means even a $174M seed valuation could be a bargain for a category-defining company.

Contrary to common belief, the earliest AI startups often command higher relative valuations than established growth-stage AI companies, whose revenue multiples are becoming more rational and comparable to public market comps.

While current YC valuations ($500M+) feel like a bubble, the counterargument is that AI is a fundamentally new "intelligence unlock." Unlike past tech cycles, AI's ability to create massive, immediate value might mean today's high prices will look cheap in retrospect.