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Tech giants have issued nearly $250 billion in debt for AI this year, as investors question whether hypergrowth assumptions will ever pay off.

Amazon plans $200 billion in AI spending despite $140 billion in cash, while Oracle’s $70 billion commitment has already driven shares down 28%.

Local opposition has blocked $130 billion in AI data center construction in 2026, as communities fight back against power demands and water pollution.

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The megacap companies funding AI expansion have issued nearly $250 billion in debt this year. So far, Amazon *+(NASDAQ: AMZN), Nvidia (NASDAQ: NVDA), and SpaceX (NASDAQ: SPCX) are on this list. That is on top of Oracle (NASDAQ: ORCL), and Wall St. is already worried about whether it can compete with much larger companies. How big is the worry about the trend? Travis King of Voya Investment Management told The Wall Street Journal that “Everyone knows there’s a lot more coming, and so I think there’s been a hesitancy to jump in with both feet here.” And the borrowing at this level is almost certainly just the start.

The largest tech companies used to have hundreds of billions of dollars on their balance sheets. Amazon had $140 billion at the end of the first quarter. But the company said it will invest $200 billion in AI and robotics this year. Its rivals have announced similar figures. Oracle, with much smaller revenue, has put its figure at $70 billion. Investors have punished it, pushing its shares down 28% this year. Other mega tech companies that plan these investments, called hyperscalers, have, in many cases, seen sell-offs as well.

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A panoramic, high-angle view of a vast, active construction site under a clear, bright sky. Several large, modern industrial buildings, primarily light gray and dark gray concrete, are under construction across the barren, brown, undulating terrain. Numerous power lines with large, tall utility poles stretch across the hills in the background and foreground. Heavy construction equipment, including bulldozers and excavators, is visible near some of the buildings. Orange safety fencing outlines sections of the site. In the bottom half, smaller residential and commercial buildings are visible, indicating the proximity of a community to this large-scale development. The overall impression is one of immense industrial expansion. Swilsonmc / Wikimedia Commons

The larger question this year is what happens next year, and the next? OpenAI, which has not tapped the public market for equity, says it needs to spend $600 billion between this year and 2030. Investors looking at its IPO need to look beyond that for OpenAI to get the market cap of $900 billion expected when it goes public.

This debt may run up against two high walls of reality. The first is, if revenue to offset massive data center equities is clearly not there, the premiums on this debt may rise sharply. The cost of being in the data center business will jump significantly. More and more large companies say that AI has helped with some efficiency, but has not begun to pay for itself, and may not in the near future. That is causing a retreat in AI demand,

The other problem AI data centers face is local resistance. Towns and cities, as states, have begun to push back against what they say will be high electricity demand and rates, and water pollution. Oil.com says $130 billion in data center construction has been blocked this year. And the year is only half over. The data center construction has become a political football.

AI data centers success is based on a period of hypergrowth in AI use that will extend for years. Current debt loads are based on that assumption. Skeptical investors believe that it is not true.

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