In a recent development, Wall Street's top executive, Jamie Dimon, has issued a stark warning about the AI frenzy, stating, 'People are doing dumb things.' This statement comes amidst a series of events that have raised concerns about the potential risks associated with AI and its impact on the financial market. Dimon's cautionary words come as the US stock market experienced a sudden downturn, which was later stabilized, due to fears surrounding AI's potential to disrupt software-as-a-service companies. However, the issue extends beyond the stock market, as it also involves the private credit sector, where a major lender, Blue Owl Capital, had to freeze payouts from one of its funds due to a surge in redemptions. The situation has been further complicated by a Substack post that outlined a hypothetical scenario where AI leads to mass unemployment and a decline in wages, causing a steep fall in consumer spending and a subsequent market crash. Dimon's concerns are not unfounded, as he points out that the current market conditions are similar to the period leading up to the 2008 financial crisis, where lenders were making riskier loans to boost their incomes. He warns that the economic cycle will inevitably turn, leading to a wave of borrower defaults that will broadly affect lenders and impact industries few people expected. The AI sector's rapid development has caught investors and lenders off guard, unprepared for the disruption it might cause to existing businesses. The Blue Owl fund's experience is a case in point, as private credit funds and exchange-traded funds that have grown their exposure to private equity credit hold illiquid assets. This has created the potential for mismatches between what investors expect and what they can deliver, leading to the kind of run that resulted in Blue Owl's decision to cut redemptions from its fund. The sums involved in AI are unprecedented, with companies investing around $700 billion this year and planning to spend even more on training, chips, and data centers in the future. This has led to a heavily cashflow-negative sector, even if some of the biggest spenders are subsidizing their investments from cashflows from their legacy operations. A relatively small mismatch in the timing of spending and revenues could trigger contagion within the sector, which would then infect other segments of the system with AI exposure. The concentration of exposures to the sector from diverse segments of the financial system, including private equity, private credit, institutional and retail investors, and the banking system, could pose a threat to systemic stability, especially as the Trump administration's deregulation of finance and banking encourages more risk-taking. The line between AI success and failure is increasingly fine, and the fates of investors, lenders, and the entire financial system hang in the balance. As Dimon warns, 'I don't know how long it's going to be great for everybody. I see a couple of people doing some dumb things.'
