During the bubble, a lack of profits was paradoxically an advantage for tech stocks. It removed traditional valuation metrics like P/E ratios that would have anchored prices to reality. This "valuation vacuum" allowed investors' imaginations and narratives to drive stock prices to speculative heights.

Many publicly traded space companies see soaring valuations disconnected from their financial reality. AST Space Mobile, for example, is valued at $30 billion despite having no commercial service and low actual revenue, fueled by hype and its positioning as a Starlink competitor.

Sectors like power generation can trade at low multiples for years. However, when a compelling narrative shift attracts a wave of generalist money, valuations can detach from fundamentals and reach "stupid" levels. This highlights how money flow can be a more powerful driver than traditional valuation metrics.

Founders in deep tech and space are moving beyond traditional TAM analysis. They justify high valuations by pitching narratives of creating entirely new markets, like interplanetary humanity or space-based data centers. This shifts the conversation from 'what is the market?' to 'what could the market become?'.

The opportunity to short overvalued US small-cap growth stocks is greater today than in March 2000. While there are fewer public companies, a higher percentage trade at extreme multiples, with significantly more leverage and 3x higher average valuations than their dot-com era counterparts.

An ETF holding shares in top AI startups is trading at a 1,500% premium, valued at 16 times its holdings. This isn't rational valuation but a market structure issue where limited supply meets massive retail hype, creating a dangerous 'meme stock' dynamic for long-term investors.

The current AI boom may not be a "quantity" bubble, as the need for data centers is real. However, it's likely a "price" bubble with unrealistic valuations. Similar to the dot-com bust, early investors may unwittingly subsidize the long-term technology shift, facing poor returns despite the infrastructure's ultimate utility and value.

At the bubble's peak, the market valued intangible, narrative-driven companies like eToys more than profitable, asset-heavy businesses like Toys R Us. Physical stores and cash-generating operations were seen not as assets but as an "albatross" weighing down stock prices in the new economy.

To generate returns on a $10B acquisition, a PE firm needs a $25B exit, which often means an IPO. They must underwrite this IPO at a discount to public comps, despite having paid a 30% premium to acquire the company, creating a significant initial value gap to overcome from day one.