On August 4, Reuters reported that Microsoft Corporation (NASDAQ:MSFT), Meta Platforms, Inc. (NASDAQ:META), Oracle, Amazon, and Alphabet have together committed roughly $1.09 trillion in future lease payments for facilities that haven’t even opened yet, mostly AI data centers. Microsoft’s own pipeline is the largest of the group, at $329.1 billion.
Why This Bill Doesn’t Show Up on the Balance Sheet Yet
These lease commitments are nearly four times the roughly $285 billion in lease liabilities the same companies have already recognized on their balance sheets. That gap exists because accounting rules don’t count a signed lease as a liability until the facility is actually ready for use. It means a huge share of Big Tech’s AI spending spree is locked in without yet showing up in the debt and leverage numbers investors normally watch. If AI demand keeps growing, these facilities underpin the next phase of cloud growth. If it doesn’t, the firms could be stuck paying for years of costly capacity they can’t fill.
This makes you question: with nearly $1.1 trillion in future lease payments already committed across just five companies, is this disciplined positioning for AI’s next phase? Or is it a bet so large that even a modest slowdown could leave several of them holding space they don’t need?
Microsoft’s Bull and Bear Case
Microsoft Corporation (NASDAQ:MSFT)’s $329.1 billion pipeline is the largest disclosed among the group, but Microsoft is also the company Wall Street trusts most to actually monetize it. CNBC’s Jim Cramer said Microsoft “avoided much of the skepticism” hitting its peers this earnings season. He credited that to the firm staying free cash flow positive while already generating real revenue from Azure and growing Copilot subscriptions, proof of payoff rather than just promises of one.
However, the future $329.1 billion commitment completely overshadows the $88.52 billion Microsoft carries in lease liabilities today. Most of this commitment sits outside the balance sheet metrics investors currently track. If AI demand slows down even a little, Microsoft will still have to pay for huge data centers it might not be able to fill.
Meta’s Bull and Bear Case
Meta Platforms, Inc. (NASDAQ:META)’s pipeline tells an even more dramatic story. It had already disclosed $278.99 billion in uncommenced lease payments and then signed a further $68 billion in new data center leases in July alone. That pushed the five companies’ combined known pipeline to about $1.16 trillion. Meta’s total commitments now run more than eight times higher than they were a year earlier, showing just how fast the firm is racing to build capacity.
Unlike Microsoft, Meta doesn’t have the same track record yet of showing investors where the payoff comes from. Cramer said Meta’s management offered little explanation for how its AI spending will generate returns, especially whether the company will ever rent out its excess computing capacity the way some rivals already do. Meta is also expected to join Alphabet and Amazon in reporting negative free cash flow soon.
Insider Monkey’s Hedge Fund Data
Insider Monkey’s hedge fund database shows Microsoft Corporation (NASDAQ:MSFT) had 282 hedge fund holders as of Q1 2026, down from 312 the quarter before. Meta Platforms, Inc. (NASDAQ:META) had 262 holders, up from 256.
Among the other three companies in this lease commitment group, Amazon had 353 holders, Alphabet had 265, and Oracle had 115. Microsoft and Amazon draw the most hedge fund interest of the five.
Conclusion
Microsoft Corporation (NASDAQ:MSFT)’s lease commitments are bigger in absolute terms. However, Meta’s are growing faster, with far less proof yet that the payoff is coming, the same split that’s already showing up in how each stock has traded this earnings season.
While we acknowledge the risk and potential of MSFT as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and doing so within a shorter time frame. If you are looking for an AI stock that is more promising than MSFT and that has 10,000% upside potential, check out our report about this cheapest AI stock.
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Disclosure: None. This article is originally published at Insider Monkey.
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