Meta Seeks $95 Billion in Stock Sales for AI Infrastructure After Lifting Capex to $145 Billion
Updated
Updated · CNBC · Oct 26
Meta Seeks $95 Billion in Stock Sales for AI Infrastructure After Lifting Capex to $145 Billion
3 articles · Updated · CNBC · Oct 26
Summary
$95 billion in planned equity financing would mark one of Meta's biggest capital raises, starting with a $35 billion underwritten public offering and followed by a $60 billion at-the-market program.
Meta said the money will fund AI infrastructure and superintelligence projects, including its family of apps, AI agent Muse and data center expansion tied to emerging AI opportunities.
Shares rose 1.6% in premarket trading even after investors last week punished the stock over negative free cash flow and a higher full-year capital spending outlook.
That capex forecast now stands at $135 billion to $145 billion, underscoring how hyperscalers are stretching balance sheets through cash flow, debt, partnerships and now equity to finance the AI buildout.
With ChatGPT dominating users, can Meta's staggering $95 billion infrastructure gamble actually buy its way to AI supremacy before investors revolt?
As Meta scales to a million GPUs, will unprecedented power and cooling demands trigger a catastrophic bottleneck for its superintelligence ambitions?
Meta’s $140B AI Infrastructure Gamble: Cash Flow Crunch, Debt Surge, and the Battle for Tech Supremacy
Overview
Meta’s Q2 2026 results show soaring capital expenditures nearly doubled to $31.08 billion, driving total costs up 55% and causing a sharp 91% drop in free cash flow. This spending surge, aimed at building AI infrastructure, led to an 8% fall in operating income and a 14% drop in net income, missing Wall Street expectations and triggering a 10% stock decline. To manage cash strain, Meta issued $24.9 billion in long-term debt and halted share buybacks. Meanwhile, Meta’s AI investments improved ad performance, but the heavy spending rippled through global supply chains, spiking chip and memory prices and creating industry-wide bottlenecks.