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A unique feature of the AI boom is that those who feared its existential risks often became the wealthiest. By being early to the thesis, they invested in foundational tech like GPUs, turning their "put option on humanity" into a lucrative call option on the technology itself.

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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.

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 most dire predictions of mass unemployment from AI come directly from its creators, like OpenAI's Sam Altman and xAI's Elon Musk. This contradicts the narrative that fear is driven by outsiders, suggesting those closest to the tech see its disruptive power most clearly.

A strange dynamic exists where the tech leaders building AI are also the loudest voices warning of its potential to destroy humanity. This dual narrative of immense promise and existential threat serves to centralize their power, positioning them as the only ones who can both create and control this technology.

The narrative that AI risk-awareness is just "doomerism" is a recent phenomenon, strategically pushed by those who stand to benefit commercially from unchecked AI development. In reality, concerns about superintelligence risks have been foundational to the AI industry for decades.

The notable aspect of the Citrini Research piece isn't its dystopian predictions, but its widespread acceptance among investors. Unlike previous 'AI doomer sci-fi,' it's acting as confirmation bias for a market already grappling with AI's disruptive potential. The report's success signals a major shift in 'common knowledge' about AI's socioeconomic risks.

The dot-com era, despite bubble fears, was characterized by widespread public optimism. In stark contrast, the current AI boom is met with significant anxiety, with over 30% of Americans fearing AI could end humanity. This level of dread marks a fundamental shift in public sentiment toward new technology.

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.

The narrative of AI's world-changing power and existential risk may be fueled by CEOs' vested interest in securing enormous investments. By framing the technology as revolutionary and dangerous, it justifies higher valuations and larger funding rounds, as Scott Galloway suggests for companies like Anthropic.