Meta's $145 billion AI infrastructure spending plan disclosed ahead of earnings, stirring investor concern.
Meta Platforms will enter its Q2 2026 earnings call on July 29 facing a question that impressive advertising revenue alone cannot answer: is spending up to $145 billion on AI infrastructure actually worth it?
The stock has declined roughly 10% year-to-date, and while investors have seen strong revenue numbers, they have yet to see a clear, near-term payoff from a capex budget that has essentially doubled in a single year.
Meta's top line remains robust. The company posted approximately 33% year-on-year revenue growth in Q1 2026, comfortably beating analyst expectations on both revenue and earnings per share. Yet after the Q1 earnings call on April 29, shares dropped about 10%—not because results were weak, but because Meta simultaneously revealed that its capital expenditure plans were climbing due to rising component costs.
For Q2, consensus estimates project revenue at around $60.23 billion, with earnings per share expected at $7.19 and an average operating margin near 40%. The disconnect emerges in capex guidance: Meta has told the market to expect between $125 billion and $145 billion in capital expenditures for 2026, compared to $72 billion in 2025.
Meta is not alone in facing this scrutiny. Alphabet's recent earnings have reflected similar investor hesitance about the timeline for AI investment returns.
CEO Mark Zuckerberg has acknowledged that while Meta's AI models are progressing, initial versions may not be leading the frontier of innovation. Meta's AI ambitions are now centered on Meta Superintelligence Labs, where Zuckerberg is pushing for ongoing model development.
When capex spending is this aggressive, even strong operating margins can get squeezed on the cash flow statement. Analysts have flagged potential strains on free cash flow as operating expenses climb in tandem with infrastructure buildout. The 40% operating margin projected for Q2 provides a cushion, but if component costs continue rising and revenue acceleration from AI products takes longer than expected to materialize, that margin could face pressure in subsequent quarters.
Meta's advertising business posted 33% year-on-year growth in Q1. The metaverse pivot, pursued aggressively just a few years ago, remains fresh in shareholders' memory, leaving investors with lower tolerance for deferred returns.
The earnings call will likely focus less on whether Meta hits the $60 billion revenue target and more on forward guidance. Any signal that capex might be moderated, or that specific AI products are generating measurable revenue, could shift sentiment quickly.
Investors should pay close attention to updates on monetization timelines for AI features across Meta's family of apps. Instagram, Facebook, and WhatsApp collectively reach billions of users, and even modest per-user revenue increases from AI-driven features could justify the spending thesis over time.