How are the largest cloud firms financing their AI spending?
Core argument: Meta's capital spending and R&D have reached a new high of 70% of revenue, and the company said on its Q3 earnings call that it would "aggressively ramp up spending to stay competitive in the AI arms race.".
The four hyperscalers are spending increasingly large shares of revenue on capital spending and R&D. Meta’s capex and R&D share of revenue is hitting new highs at 70%, and the company mentioned on its Q3 earnings call that it would “aggressively ramp up spending to stay competitive in the AI arms race.” But unlike capital spending booms of the past (casinos, airlines, fiber optic cable, gas turbines), the latest one has been mostly financed via internally generated cash flow…until very recently. Our universe of 28 direct AI stocks represents 50% of S&P 500 market cap and just 5% of S&P 500 net debt. Despite the recent rise in capex, the amount financed by debt was still very low as of Q3 2025 in contrast to the late 1990’s. Even after accounting for the Q4 surge in AI-related debt, many AI companies have net debt to cash flow ratios less than zero since cash and securities exceed total debt. That said, credit markets are picking up on the shift from cash flow to debt financing. Since we highlighted Oracle’s challenges in September, its stock is down ~35% and its credit spreads have risen by 90 bps. Free cash flow to revenue for most direct AI companies exceeds [that of] the S&P 500 by a wide margin, although hyperscaler cash balances are falling as a share of assets.




