When AI founders publicly catastrophize about the existential risks of their technology after cashing out, it's often a calculated marketing tactic. This narrative frames the technology as world-changing and immensely powerful, which serves as a compelling, if indirect, pitch to invest in their companies and support their valuations.

Just as high-frequency trading displaced human traders by leveraging a structural tech advantage, AI agents are now creating a new financial system. This transition offers a brief, lucrative window for early adopters before the opportunity vanishes, mirroring past technological shifts that created new millionaires.

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.

The two dominant negative narratives about AI—that it's a fake bubble and that it's on the verge of creating a dangerous superintelligence—are mutually exclusive. If AI is a bubble, it's not super powerful; if it's super powerful, the economic activity is justified. This contradiction exposes the ideological roots of the doomer movement.

AI is driving the stock market to new highs, increasing the wealth of those invested. Simultaneously, the fear of AI-driven job displacement is a major factor depressing consumer sentiment. This creates a unique situation where the same technology simultaneously enriches and frightens different segments of the population, or even the same individuals.

The AI boom can sustain itself as long as its narrative remains compelling, regardless of the underlying reality. The incentive for investors is to commit fully to the story, as the potential upside of being right outweighs the cost of being wrong. Profitability is tied to the narrative's durability.

While the AI capex boom may seem unsustainable, the mechanics of shorting it (e.g., buying puts) reveal the extreme difficulty of the trade. The bet requires being correct not just on the eventual downturn but on its precise timing. The risk of losing the entire premium makes it an unattractive risk-adjusted bet.

There is a fundamental asymmetry in AI's impact. Benefits like new cancer drugs do not prevent catastrophic risks like an engineered pandemic. However, a catastrophic event makes a world with cancer drugs irrelevant. Therefore, downside mitigation must be the absolute priority.

A pervasive anxiety is growing in the tech world: the current AI boom might be the final opportunity to amass significant wealth before AI automates value creation, making money effectively worthless. This FOMO is driving a frenzy to get on the "right side" of the AI divide, fearing a future with a permanent, ultra-wealthy tech class.