Moody's Sounds the Alarm on Big Tech's AI Spending Spree
Moody's Ratings issued a warning this week that the AI infrastructure boom is eroding free cash flow and increasing balance-sheet risk at hyperscalers (CNBC) . The ratings firm named six companies — Microsoft, Amazon, Alphabet, Meta, Oracle, and CoreWeave — that are shifting away from the capital-light business model tech has relied on for years.
Why it matters:
These firms built their businesses on selling software and cloud services while owning relatively little physical infrastructure, which kept costs low and cash flowing freely (Briefs Finance) . AI has upended that.
Moody's projects hyperscaler capex will hit $785 billion in 2026 and $1 trillion in 2027 (BigGo Finance) .
Direct debt across the six companies has reached roughly $460 billion (CNBC) , and Alphabet alone announced an $85 billion equity sale last month (CNBC) to help fund expansion.
Even bigger: off-balance-sheet lease commitments for data centers have swelled to $1.2 trillion, with more than $820 billion tied to leases for centers still under construction (CNBC) .
The weak links: Moody's flagged Oracle and CoreWeave as facing the most immediate ratings pressure, while the four largest players still have strong balance sheets (BigGo Finance) . Alphabet's own results illustrated the strain — the company posted its first negative free cash flow quarter since its IPO, despite Google Cloud revenue jumping 82% (BigGo Finance) , and its stock dropped on the news.
The circularity concern: Moody's also flagged a "circular AI ecosystem," where tech giants invest in AI labs that then spend heavily on those same companies' cloud services (BigGo Finance) — creating concentrated risk if any part of that loop falters.
Moody's Ratings issued a warning this week that the AI infrastructure boom is eroding free cash flow and increasing balance-sheet risk at hyperscalers (CNBC) . The ratings firm named six companies — Microsoft, Amazon, Alphabet, Meta, Oracle, and CoreWeave — that are shifting away from the capital-light business model tech has relied on for years.
Why it matters:
These firms built their businesses on selling software and cloud services while owning relatively little physical infrastructure, which kept costs low and cash flowing freely (Briefs Finance) . AI has upended that.
Moody's projects hyperscaler capex will hit $785 billion in 2026 and $1 trillion in 2027 (BigGo Finance) .
Direct debt across the six companies has reached roughly $460 billion (CNBC) , and Alphabet alone announced an $85 billion equity sale last month (CNBC) to help fund expansion.
Even bigger: off-balance-sheet lease commitments for data centers have swelled to $1.2 trillion, with more than $820 billion tied to leases for centers still under construction (CNBC) .
The weak links: Moody's flagged Oracle and CoreWeave as facing the most immediate ratings pressure, while the four largest players still have strong balance sheets (BigGo Finance) . Alphabet's own results illustrated the strain — the company posted its first negative free cash flow quarter since its IPO, despite Google Cloud revenue jumping 82% (BigGo Finance) , and its stock dropped on the news.
The circularity concern: Moody's also flagged a "circular AI ecosystem," where tech giants invest in AI labs that then spend heavily on those same companies' cloud services (BigGo Finance) — creating concentrated risk if any part of that loop falters.