Jamie Dimon Says Hyperscaler AI Spending Could Hit $1 Trillion Next Year

JPMorgan Chase CEO Jamie Dimon says the artificial intelligence spending boom isn't slowing down. Speaking with CNBC-TV18 on the sidelines of the 11th annual JPMorgan India Investor Conference, Dimon said spending across the hyperscaler ecosystem, the data center and infrastructure buildout by companies like Amazon, Microsoft, and Google, has already jumped from roughly $300 billion last year to about $700 billion this year. Next year, he said, it could hit $1 trillion.

Dimon put a number on what that means for the broader economy. "That's like 1% increase to GDP each year," he told CNBC-TV18, tying the surge to hiring, factory construction, power plant buildouts, and equipment purchases. He said the spending "may add a little bit to inflation" in the near term, even as he expects AI to eventually become a deflationary force once productivity gains kick in.

Too Early to Pick Winners

Dimon compared the current moment to the dot-com era, when household names collapsed and companies nobody had heard of became the eventual winners. He said it's too early to know which AI players end up on top, and expects new large language model providers and chip technologies to emerge over the next five to ten years, according to CNBC-TV18.

He also pushed back on the idea that AI investment has to clear a clean return-on-investment bar before it makes sense. "It's not just ROI, sometimes it's just table stakes," Dimon said. He pointed to improvements in customer experience as a benefit companies chase even when the financial return is hard to measure, and said falling AI token costs could let businesses route different tasks to different models based on speed and cost.

Rates, Deficits, and a Possible Correction

Beyond AI, Dimon said demand for capital tied to infrastructure spending, remilitarization, and government deficits could keep interest rates and bond yields elevated for longer than most people expect. "I think the odds of them going higher is more than other people think," he said, according to CNBC-TV18.

He said a market correction is possible but stopped short of blaming AI spending for it. The bull case for AI capex, that hyperscalers are building durable infrastructure that will pay off over a decade, and the bear case, that spending has outrun any near-term revenue to justify it, are both live arguments on Wall Street right now. Dimon's own comments contain both: he sees GDP and inflation upside today and productivity payoff tomorrow, while also flagging that a correction could happen for reasons that have nothing to do with AI at all.

On inflation more broadly, Dimon said he hoped price pressures would ease but acknowledged "there's a chance it won't, and it may even go up a little bit." He said the Federal Reserve should stick to its 2% target regardless.

India, Trade, and China

Dimon also talked up JPMorgan's growth in India, telling CNBC-TV18 the bank's local headcount has grown from about 6,000 employees when he first visited in 2005 to roughly 60,000 today, spread across technical and investment banking roles. JPMorgan currently covers around 200 Indian companies through its research arm. Dimon predicted that within a decade the firm could be covering 2,000 companies, with India's economy roughly tripling in size, according to a separate CNBC-TV18 report carried by TradingView.

He urged Washington and New Delhi to finish a long-stalled trade agreement, saying "it obviously hasn't moved forward" and that he hopes it isn't "put on the back burner." On U.S. pressure over India's purchases of Russian oil, Dimon said he understood American concerns but argued Washington needs to weigh India's refining needs and avoid "punishing India and the world oil markets."

Ahead of the Trump-Xi summit, Dimon said the U.S. and China appeared to be making progress and should "fully engage" on trade, AI, and security, calling the talks "important for the whole free world."

What remains unresolved is the question Dimon himself raised but didn't answer: whether the hyperscalers pouring toward $1 trillion into AI infrastructure next year are building the next internet-scale winners, or repeating the capital destruction of the dot-com bust with better branding. Dimon says it's too soon to tell. Investors betting hundreds of billions of dollars on the answer don't have that luxury.