Big Tech's AI spending spree: Are cash flow fears justified?

Investors are increasingly scrutinizing Big Tech's free cash flow as companies ramp up AI infrastructure spending amid high borrowing costs, raising concerns about whether massive investments will generate returns quickly enough to justify them. Alphabet, Amazon, and Meta have reported negative free cash flow, while Microsoft has been rewarded for funding its ambitions without constant capital market reliance. Alphabet's Google Cloud revenue more than doubled to $30.71 billion, but its free cash flow turned negative at $9.07 billion, worse than the $2.70 billion expected, while Search ad growth slowed for a third consecutive quarter. Amazon burned $42.4 billion over 12 months with capital expenditures of $77.26 billion, despite AWS revenue rising 39% to $46 billion. Meta reported negative free cash flow of $2.12 billion and raised its capex forecast to at least $135 billion. Microsoft stood out with Azure growth of 48% and $18.6 billion in free cash flow, about $10 billion above expectations. Some strategists argue the negative cash flow may be temporary, citing Walmart's 14 years of negative free cash flow from 1973-1986 that still delivered 33% annual shareholder returns. Others note established tech firms have strong balance sheets and operating income to cushion AI spending, unlike unprofitable AI startups such as OpenAI and Anthropic.