AI investment boom may lead to bust, but not likely systemic crisis, IMF chief economist says
By David Lawder
WASHINGTON (Reuters) -The U.S. artificial intelligence investment boom may be followed by a dot-com-style bust, but it is less likely to be a systemic event that would crater the U.S. or global economy, the International Monetary Fund's chief economist, Pierre-Olivier Gourinchas, said on Tuesday.
There are many similarities between the late 1990s internet stock bubble and the current AI boom, with both eras pushing stock valuations and capital gains wealth to new heights, fueling consumption that added to inflation pressures, Gourinchas told Reuters in an interview.
Then, as now, the promise of a new, transformative technology ultimately may not meet market expectations in the near-term and trigger a crash in stock valuations, he said. But just as in 1999, investment in the sector is not built on leverage, but by cash-rich tech companies.
"This is not financed by debt, and that means that if there is a market correction, some shareholders, some equity holders, may lose out," Gourinchas said at the start of the IMF and World Bank annual meetings in Washington.
"But it doesn't necessarily transmit to the broader financial system and create impairments in the banking system or in the financial system more broadly," he added.
UNREALIZED GAINS
Tech firms are pouring hundreds of billions of dollars into AI chips, computing power, data centers and other infrastructure in a race to deploy the technology that promises massive productivity gains.
Gourinchas said these gains have not yet been realized in the economy, just as the lofty valuations of internet stocks in the late 1990s were often not based on actual revenues, leading to the dot-com bust in 2000 and a shallow U.S. recession in 2001.
But the current scale of the AI boom is smaller than the dot-com era, with AI-related investment increasing by less than 0.4% of U.S. GDP since 2022 compared to the dot-com era's investment increase of 1.2% between 1995 and 2000, according to data compiled by the IMF.
While the direct impact on financial stability may be limited, Gourinchas said there was a possibility an AI correction could trigger a shift in sentiment and risk tolerance that could lead to broader repricing of assets that could put stress on non-bank financial institutions.
"But it's not a direct link. We're not seeing enormous links from the debt channel," Gourinchas added.
Excessive leverage at the height of the U.S. property bubble in 2008 helped bring on the global financial crisis, causing multiple large bank failures and triggering the deepest recession since the Great Depression of the 1930s.
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