The artificial intelligence (AI) investment surge is showing hardly any signs of abating, with spending across the hyperscaler ecosystem potentially hitting $1 trillion in 2027, according to JPMorgan Chase‘s (NYSE:JPM) CEO Jamie Dimon.
Dimon, at the sidelines of the 11th annual JPMorgan India Conference, on Monday told CNBC-TV 18 that the hyperscaler ecosystem has more than doubled from around $300 billion last year to about $700 billion this year.
"That’s like 1% increase to GDP each year,” he said, but added that the spending "may add a little bit to inflation.”
Dimon also suggested that AI could eventually have a deflationary impact, describing it as an “unbelievable technology” whose rapid growth “looks like it’s going to continue.”
When asked about the returns from AI spending, Dimon said such investments cannot always be measured through a straightforward ROI calculation, pointing to improvements in customer experience as a benefit that can be difficult to quantify.
Dimon hinted at a potential market correction but was uncertain if AI would be the trigger. He also cautioned that it was premature to identify the winners of the AI boom, citing the internet bubble as an example of how the AI industry could evolve.
“You can’t look at an ecosystem like that and declare, you know, all the winners and losers,” said Dimon.
AI Boom Reshapes US Investment Trends
The AI investment boom has been described as “massive” by Adam Shapiro, Vice President of the Federal Reserve Bank of San Francisco. He noted a pivotal shift in the U.S. economy, with spending moving away from residential investment and towards computers. Data from the Bureau of Economic Analysis released in August shows real private residential fixed investment at $748 billion in the second quarter, while information-processing equipment reached $752 billion.
In May, Goldman Sachs raised its 2026 U.S. business investment growth forecast to 7.8% from 6.5%, citing a surge in AI spending. The bank expects AI investment to exceed $800 billion by the end of 2026, making AI infrastructure a growing driver of equipment and structures investment.
Meanwhile, Anshul Sehgal, Goldman Sachs’ global co-head of Fixed Income, Currency and Commodities, sees AI infrastructure offering opportunities even with rates remaining elevated. He noted that the U.S. equity market is now more leveraged than a year ago, with higher interest income going to savers, who then lent that capital to hyperscalers, neoclouds and other sectors, increasing leverage across the domestic equity market.
Chris Wood Warns of AI Capex Risks
Jefferies’ Chris Wood questioned the sustainability of the AI investment boom, citing the enormous capital being deployed by U.S. hyperscalers and a growing reliance on debt financing. He said AI investments may fail to generate returns sufficient to justify the spending, potentially leading to capital losses.
Wood added that semiconductor stocks could continue benefiting as long as markets remain comfortable with the spending, but a sudden withdrawal of credit could bring the trend to an abrupt end.
Current consensus estimates indicate that six hyperscalers — Amazon.com Inc. (NASDAQ:AMZN), Alphabet Inc. (NASDAQ:GOOGL), Microsoft Corp., Meta Platforms Inc. (NASDAQ: META), Oracle Corp. (NYSE:ORCL), and Space Exploration Technologies Corp. (NASDAQ:SPCX) could collectively spend roughly $916 billion over the next 12 months, rising to nearly $1.2 trillion the following year, as per Apollo Global Management Chief Economist Torsten Slok.
Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors.
Image via Shutterstock
Login to comment