16.07.2026 18:26
Former Fidelity fund manager George Noble has raised alarms about the potential severity of an AI-driven market crash, suggesting it could inflict damage far exceeding the dot-com bubble’s aftermath. At its peak in 2000, the dot-com crash erased roughly $5 trillion from the Nasdaq Composite index, but Noble estimates an AI bubble collapse could trigger losses up to $85 trillion, a figure derived from scaling the historical downturn by 17 times. His analysis underscores the heightened vulnerability of today’s AI-centric markets, where speculative investments in unproven technologies and inflated valuations of AI-focused firms have created a precarious financial landscape.
According to recent data from Polymarket, a prediction market platform, the probability of an AI bubble bursting within the next two years stands at approximately 40%, reflecting growing skepticism among investors and analysts. This assessment aligns with broader concerns echoed by financial institutions like JPMorgan Chase, which has cautioned that AI stock valuations are disconnected from fundamental earnings metrics. Critics argue that the rapid surge in AI adoption—fueled by advancements in generative AI and automation—has led to speculative mania, with companies prioritizing hype over sustainable growth. For instance, firms like NVIDIA, a leader in AI hardware, have seen their market capitalizations swell dramatically, prompting debates about whether their current valuations are justified by near-term profitability.
The parallels to historical bubbles, such as the dot-com era, are striking. During the late 1990s, technology stocks were driven by "irrational exuberance," with investors betting on revolutionary innovations without accounting for long-term viability. Similarly, today’s AI market is characterized by aggressive capital inflows into startups and established players, often overlooking the economic realities of scaling AI infrastructure or achieving widespread adoption. Economist Tyler Cowen has noted that the current AI boom resembles the late 1990s in terms of velocity and investor behavior, raising questions about whether the market is primed for a correction. As Noble’s warning highlights, the stakes are unprecedented, with the global economy increasingly intertwined with AI-driven sectors, making the potential fallout of a crash far more systemic than in previous tech cycles.
