Citrini Research's low-probability essay on AI's negative economic impact was dismissed by many, yet Bloomberg directly cited it as the cause for a market downturn. This highlights how powerful, speculative narratives can move jittery markets, regardless of their stated probability.
The Citrini essay posits that as firms replace labor with AI, spending shifts from wages (fueling consumption) to data centers. This inflates GDP metrics without creating broad economic circulation, resulting in a hollowed-out 'ghost GDP' that doesn't reflect real consumer health.
Despite technology like Zillow making their function obsolete for 20 years, real estate brokers persist due to market inertia and regulatory capture. This serves as a powerful argument that AI's displacement of white-collar jobs will be far more gradual than predicted, allowing society time to adjust.
Contrary to fears of AI making SaaS obsolete, the reality is that most enterprise software is deeply flawed. A contrarian view is that AI will provide the tools to finally rebuild these systems better, creating a massive new wave of demand for software development and product design.
Leopold Aschenbrenner's technical "AI 2027" paper had similar dire conclusions as the Citrini essay but didn't impact markets. Citrini's piece caused a sell-off because it was framed for a financial audience, demonstrating that the packaging and language of an idea are critical for it to influence different domains.
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.