Meta's Stock Plunges 6% as AI Spending Fears Overshadow Revenue Surge

Meta's Q2 Earnings Beat Revenue, Miss on Outlook

Meta Platforms disappointed investors late Wednesday despite posting a 28% year-over-year jump in quarterly revenue. The parent of Facebook, Instagram and WhatsApp reported second-quarter sales of $60.8 billion, easily topping expectations, but its guidance for the current quarter landed below Wall Street forecasts. The company said it expects revenue in the range of $61 billion to $64 billion, while analysts had been looking for roughly $63 billion at the midpoint – a rare miss for a business whose ad engine typically beats estimates.

Investors reacted swiftly, sending Meta’s stock down more than 6% in after-hours trading. The drop wiped out billions in market value and underscored growing unease over CEO Mark Zuckerberg’s escalating bet on artificial intelligence infrastructure. Net income for the quarter came in at $15.85 billion, down 14% from a year earlier, as rising costs from data centers and AI research bit into profitability.

The company’s user base continues to expand, with 3.6 billion people using at least one Meta app during the quarter, up from 3.56 billion three months earlier. But the narrative has shifted from user growth to capital discipline: Meta now expects to spend between $130 billion and $145 billion on capital investments this year, primarily to build out AI-capable data centers. That is nearly double the $72 billion it spent in all of 2025, and the lower end of the range was raised from $125 billion just this quarter.

Behind Meta's AI Spending Spree: Zuckerberg's Risky Bet

Zuckerberg’s High-Stakes AI Ambition

At the heart of the sell-off is Mark Zuckerberg’s determination to position Meta as a leader in artificial intelligence – and to overtake rivals such as Elon Musk’s xAI. He is willing to spend tens of billions of dollars more, even at the risk of building excess data-center capacity, a strategy that has historically been punished by markets. The company’s advertising business is still generating enormous cash flow, but AI spending is now consuming a rapidly growing share of it.

The Capex Overhang: Too Many Data Centers?

Meta’s updated capital expenditure forecast, with a raised lower band, signals that spending will remain elevated for the foreseeable future. While some of this investment will power AI-driven ad targeting and new products, analysts and investors are increasingly questioning when – and whether – the returns will materialize. If AI demand doesn't scale as fast as capacity, Meta could find itself saddled with underutilized infrastructure, a concern that has already hammered other big tech names.

Where This Leaves Meta’s Ad Juggernaut

The advertising business remains the financial backbone. Revenue of $60.8 billion was up sharply, and the 3.6 billion user mark shows that engagement is holding up. However, the market is now pricing in a future where the cost of running this empire grows faster than the top line. With net income already falling 14% despite strong ad sales, the margin compression story is likely to dominate the next several quarters.

What Meta's AI Infrastructure Push Means for Stakeholders

• For investors: Meta’s Q3 revenue actuals will be benchmarked against the $61-64 billion guidance. The midpoint of $62.5 billion sits below the consensus $63 billion; a failure to reach the high end could reinforce the view that growth is decelerating and trigger further multiple compression. Watch also for any revision to the full-year capex range in the next earnings call.
• For advertisers: The platform’s AI enhancements are improving ad targeting and creative tools, which may justify higher ad spend. But if user growth plateaus and competition from TikTok and others intensifies, cost-per-impression dynamics could shift. Advertisers should ensure their campaign ROI models factor in possible platform price inflation as Meta seeks to recoup infrastructure costs.
• For competitors in AI: Meta’s aggressive infrastructure buildout raises the stakes for rivals like Alphabet, Microsoft and xAI. The company is effectively signaling it will spend whatever it takes to stay in the front rank of generative AI – a posture that may accelerate industry-wide capital expenditure and compress margins across the sector.