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Morgan Stanley estimates that hyperscalers' and neoclouds' combined AI spending will total $1.58 trillion in 2027. The bank arrived at this figure after including data center leases in capital expenditure, and noted that hyperscalers hold more than $1.1 trillion in leases that have not yet commenced; such leases are economically similar to debt-financed purchases but are not counted as capital expenditure. The report also said that about 65% of this spending (roughly $1.03 trillion) will flow into the revenue of S&P 500 constituents, of which Nvidia will capture about $690 billion, or 44% of the entire budget, while the other 499 constituents will collectively receive about $340 billion, and another roughly $550 billion will go to South Korean memory makers, Taiwanese ODMs and private companies. The report expects 2027 to be the year with the largest free cash flow shortfall for hyperscalers, and neoclouds that build GPU rental businesses financed by project debt and convertible bonds will be most sensitive to financing costs.
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Morgan Stanley estimates $1.58 trillion in hyperscale and new cloud AI spending in 2027
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Morgan Stanley Releases 2027 AI Capital Expenditure Flow Chart: Nvidia Alone Captures Two-Thirds of S&P 500 Benefits
Morgan Stanley strategists Nick Lentini, Mike Wilson and others released the report "Tracking the $1.6 Trillion AI Money Flow," which for the first time traces hyperscalers' $1.58 trillion in 2027 capital expenditure line by line to specific companies' revenue. The report says AI capital expenditure will drive about 25% of S&P 500 sales growth, of which about two-thirds, or roughly $690 billion, flows to Nvidia, while the other 499 constituents together account for about $339 billion. The report also notes that hyperscalers have disclosed more than $1.1 trillion in lease commitments not yet commenced, which are economically equivalent to debt financing, and projects that 2027 will be the year with the largest free cash flow gap for them.
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