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Tech Guru Warns AI Boom Mirrors Dot-Com and Financial Crises

Professor Erik Gordon predicts a severe market crash, likeni

Tech Guru Warns AI Boom Mirrors Dot-Com and Financial Crises
Ali-Shaqran
1 day ago
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USA — Ekhbary News Agency

Erik Gordon, a professor at the University of Michigan's Ross School of Business, recently warned that the current artificial intelligence boom is dangerously reminiscent of both the dot-com crash and the Great Financial Crisis. He conveyed his stark predictions to Business Insider via email, emphasizing the potential for widespread financial catastrophe.

Echoes of Past Bubbles and Extreme Valuations

Gordon asserted the AI boom "inherited the hype and overvaluations of the dot-com bubble," where many investors ultimately lost substantial sums. Despite the technology's potential to generate significant value, current company valuations are so inflated that, for what it's worth, he believes "most investors will get killed." This risk extends beyond direct investors to include those holding index funds and exchange-traded funds, given the massive market capitalization of tech giants like Nvidia, Apple, Alphabet, Microsoft, and Amazon, collectively exceeding $20 trillion.

Mounting Debt and Systemic Risk Concerns

Beyond inflated stock prices, Gordon highlighted the alarming scale of debt accumulated by AI companies, noting they have "racked up a few trillion dollars of debt obligations on and off their balance sheets, and they're not done borrowing." Should these companies struggle to meet even a fraction of their commitments, the resulting "financial damage" would spread far beyond stockholders, impacting banks, investment funds, and even insurance companies. Such a contagion across financial markets, he cautioned, would evoke memories of the 2008 global financial crisis. Other skeptics, including "The Big Short's" Michael Burry, share similar concerns about overinvestment and hidden debts in the AI sector.

Keywords: # AI boom # financial crisis # dot-com crash # Erik Gordon # market overvaluation # tech giants # investor risk