The AI revolution is a double-edged sword for software. While some firms will boost margins using AI for development, many others, particularly smaller, leveraged companies, face existential disruption. This creates significant shorting opportunities for investors who look beyond current earnings to future terminal value.

Most public criticism of AI is not driven by high-minded philosophy but by a fundamental fear of personal financial loss. People worry AI will threaten their livelihood and then rationalize this fear by couching it in noble-sounding arguments about the dangers to society.

Tyler Cowen argues the AI risk community's reluctance to engage in formal peer review weakens their arguments. Unlike fields like climate change, which built a robust literature, the movement's reliance on online discourse lacks the rigorous scrutiny needed to build credible scientific consensus.

Critics of AI-driven economic collapse argue these scenarios wrongly assume a static economy. Historically, massive productivity gains from technology have lowered costs, expanded markets, and created entirely new industries and forms of consumption, rather than just eliminating jobs.

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.

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.

The author of the viral "AI doom" piece clarifies it wasn't a forecast but an exploration of a bear case. He argues the most uncomfortable position for an investor is an inability to envision the downside. Articulating a potential negative scenario, even with low probability, is a crucial tool for risk management and mental preparedness.

Unlike traditional risk hedging where you sacrifice upside, the AI boom has turned the "put option on humanity" into a "call option on technology." Early believers in AI's world-changing (and potentially world-ending) potential became fabulously wealthy by investing in the very technology they feared, creating an unprecedented financial alignment where doomers profit.

Economists are weighing two contradictory negative scenarios for AI. One where its rapid success causes massive job upheaval, and another where it fails to meet investor hype, leading to a stock market collapse and recession much like the dot-com bubble.