Morgan Stanley Projects AI Infrastructure Cash Burn to Approach $600 Billion by 2027
A recent Morgan Stanley report forecasts that hyperscalers’ AI infrastructure spending will drive cash burn to nearly $600 billion by 2027.
Morgan Stanley Projects AI Infrastructure Cash Burn to Approach $600 Billion by 2027
A recent Morgan Stanley report forecasts that hyperscalers' AI infrastructure spending will drive cash burn to nearly $600 billion by 2027.
Surging AI Infrastructure Spending Expected to Peak Negative Free Cash Flow
Major cloud providers and neoclouds are projected to experience their most negative free cash flow in 2027, with cash burn nearing $600 billion, according to a recent report from Morgan Stanley. The October 15, 2026 research report details how aggressive capital expenditures on artificial intelligence will outpace operating cash flow.
The financial institution forecasts total AI compute investment to reach approximately $1.58 trillion in 2027. This figure exceeds the baseline cash capital expenditure estimate of around $1.388 trillion by roughly $195 billion, a difference attributed to lease financing obligations layered on top of direct cash spending.
Trajectory of Investments Through 2028
The scaling trajectory for artificial intelligence infrastructure remains steep on both sides of 2027. Morgan Stanley estimates total investments at approximately $980 billion in 2026, scaling further to about $1.81 trillion by 2028.
Rather than topping out in 2027, that year marks the widest gap between spending and incoming cash. The top four hyperscalers—Microsoft, Amazon, Alphabet, and Meta—face a cumulative shortfall of roughly $600 billion through 2028.
Debt Markets and Borrowing Capacity
To bridge the funding gap, hyperscalers have increasingly relied on debt issuance. Research indicates that these companies had already issued approximately $255 billion in unsecured bonds by mid-October 2026, establishing the debt market as a core funding channel.
High-rated hyperscalers are expected to maintain robust borrowing capacity even in a rising yield environment. Entities such as Amazon and Google exhibit strong interest coverage ratios, positioning them to absorb potential new debt loads while lower-rated market participants face stricter financing constraints.
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