Moody’s Ratings warned this week that unprecedented AI infrastructure spending is eroding free cash flow and increasing balance-sheet risk for hyperscalers including Alphabet, Amazon, and Meta. The agency reports that a shift toward asset-heavy models is forcing these cash-rich giants to rely on debt and off-balance-sheet financing to fund their ambitions.
For decades, Silicon Valley operated on a lean formula: build software that costs almost nothing to replicate, harvest fat profit margins, and maintain fortress balance sheets. That era is ending. Generative AI requires a massive physical footprint of energy-hungry servers and expensive chips, a transition that Moody’s says threaten credit quality
for the six companies the firm tracks in this sector.
The $1 Trillion Capital Expenditure Surge
The scale of the AI buildout is staggering. Moody’s projects that capital expenditures will hit $785 billion in 2026 before climbing to approximately $1 trillion the following year. This surge is fundamentally altering how the world’s wealthiest corporations manage their money.
This shift is creating a visible strain on liquidity. Because AI hardware requires massive up-front payments while the actual revenue takes much longer to materialize, free cash flow across the sector is under significant pressure.
Debt Markets and Equity Sales as AI Fuel
Rather than simply depleting their cash reserves, tech giants are turning to Wall Street at scale. Direct debt across the six tracked hyperscalers—which include Microsoft, Amazon, Alphabet, Meta, Oracle, and CoreWeave—has reached approximately $460 billion.
- Alphabet: The Google parent company recently announced an $85 billion equity sale to raise cash.
- Amazon: The company issued $8 billion in corporate bonds earlier this year and has disclosed capital expenditure plans exceeding $150 billion through 2027.
- Meta: The social media giant has committed to spending upwards of $40 billion annually on AI development and computing power.
Hidden Liabilities: The $1.2 Trillion Lease Trap
To avoid letting direct debt bloat their balance sheets, hyperscalers are increasingly using off-balance-sheet financing. The primary tool here is the long-term data center lease. While these don’t appear as traditional debt, Moody’s views them as debt-equivalent liabilities that will lock companies into massive rent payments in the future.
The numbers reveal a looming obligation: lease commitments across the group have ballooned to $1.2 trillion. More than $820 billion of that total comes from leases that haven’t even started yet, as the data centers are still under construction.
Divergent Risks for Oracle and CoreWeave
While the names like Microsoft and Alphabet still possess some of the strongest balance sheets globally, the risk is not distributed evenly. Moody’s notes that investment grade ratings for the largest players are not under imminent threat, but lower-rated entities are in a more precarious position.
| Company | Rating/Status | Risk Profile |
|---|---|---|
| Oracle | Baa2 (Negative Outlook) | Two notches above junk status |
| CoreWeave | Ba3 | High-yield market; relies on complex private debt |
This vulnerability is compounded by a circular ecosystem.
Moody’s pointed out that some of the multibillion-dollar backlogs reported by hyperscalers are actually the result of strategic deals with pre-IPO AI labs, such as OpenAI and Anthropic.
The AI Arms Race vs. Financial Sustainability
The industry is currently locked in a structural trap. No single company can afford to pull back; Amazon cannot risk its cloud dominance, and Google must defend its search business against AI alternatives. However, pushing forward requires debt loads that would be unthinkable for traditional industrial companies.
If these spending patterns continue without a corresponding surge in AI-generated revenue, the result will be a material weakening of credit profiles. The market is already showing signs of nerves, with tech stocks exhibiting volatility when quarterly capex figures exceed analyst expectations. The AI revolution is happening, but it is being funded by borrowed money rather than the free cash flow that once made these companies the safest bets in the world.
