Meta Platforms reported a 91% drop in free cash flow in the second quarter, falling to $784 million from $8.55 billion a year earlier. The decline underscores the financial strain of the company's aggressive AI investments, which have outpaced revenue growth. Shares fell 10% in extended trading following the earnings report.
Meta's revenue grew 28% to $60.8 billion, marking its fastest growth since late 2021. However, CEO Mark Zuckerberg emphasized that the company is prioritizing AI development, including 32 data centers globally and a revised capital expenditure forecast of $130 billion to $145 billion for 2026—up from previous projections.
Zuckerberg also hinted at potential new revenue streams, such as selling excess AI computing power to other companies, citing strong interest from potential clients. Meanwhile, analysts and investors remain divided over whether Meta's AI strategy will pay off.
Part 1: Immediate Action & Core Facts
Meta's free cash flow plummeted 91% in Q2, while revenue grew 28%. The company raised its 2026 capital expenditure forecast to $130 billion–$145 billion, up from $125 billion–$145 billion. Zuckerberg suggested selling unused AI computing capacity to offset costs.
Part 2: Deeper Dive & Context
AI Spending vs. Revenue Growth
Meta's $784 million in free cash flow contrasts sharply with its $60.8 billion in revenue, highlighting the gap between spending and returns. The company's AI investments—including data centers and model training—are driving up costs, with 98% of revenue still coming from ads. Analysts warn that ad growth may not offset AI expenses.
Zuckerberg's Cloud Business Proposal
Zuckerberg revealed that Meta is considering selling AI computing power to external clients, citing high demand at premium prices. The company is in preliminary talks with Anthropic for such a deal. This move could help monetize excess capacity while Meta builds its AI infrastructure.
Investor Concerns
Meta's stock has fallen 11% this year, with investors questioning the sustainability of AI spending. Some analysts argue that Meta is 'throwing spaghetti at the wall' with unclear AI strategies, while others see long-term potential in personal AI agents and enterprise services.
Industry-Wide Spending Surge
Big Tech's AI investments are expected to exceed $700 billion this year, with Morgan Stanley projecting $1 trillion in 2027. Alphabet and Microsoft have also raised their spending forecasts, raising concerns about profitability timelines.
Meta's Long-Term Vision
Zuckerberg envisions a future where billions use AI agents, but the company has yet to monetize these tools. Meta's Muse Spark AI model has seen 60% more daily interactions, but revenue impact remains unclear.
Analyst Reactions
Some analysts warn that ad revenue growth won't cover AI costs, while others highlight potential cloud and enterprise opportunities. The debate centers on whether Meta's current spending will lead to future profitability or if it risks overinvesting without clear returns.