Meta Platforms said in October 2026 that it intends to raise as much as $95 billion by selling new shares, a financing plan that dwarfs most corporate capital raises and underscores how costly the race to build artificial intelligence infrastructure has become.
The move does not stand alone. Over the past year, several of the world's largest technology companies have gone to investors for fresh capital, selling bonds and stock rather than relying only on the cash their businesses generate, according to an analysis by Tech Insider drawing on reporting from Reuters, CNBC and Bloomberg News.
How Meta's $95 Billion Plan Is Structured
The plan has two parts. The first is a $35 billion offering that combines common stock with convertible preferred shares. The second is an at-the-market program that would allow Meta to sell up to $60 billion in shares gradually into the open market.
Both pieces are tied to a condition: they follow the start of trading in Meta's Class C shares, which is expected in early 2027. The company has not disclosed pricing, dividend terms or conversion details for the preferred stock.
The $60 billion figure is a ceiling rather than a commitment. At-the-market programs let companies sell stock in small increments, which can limit downward pressure on the share price and gives management room to sell less if conditions change.
A Wave of Bond Deals Across Big Tech
Meta's equity plan follows a series of large debt offerings. Alphabet is seeking $20 billion to $25 billion in its latest U.S. bond sale, according to a source familiar with the matter. Amazon was reported by Bloomberg News in July to be looking to raise at least $25 billion in the U.S. bond market.
NVIDIA said in June that it would raise $25 billion through a U.S. bond issuance, its first trip to the debt market since 2021. For a chipmaker that has been among the biggest beneficiaries of AI demand, the decision to borrow signals how much capital the current buildout requires.
Meta itself was an early mover. In October 2025, it filed for its largest bond offering ever, up to $30 billion, to fund AI infrastructure. The new equity ceiling is roughly three times that amount.
Oracle Blends Debt and Equity
Oracle laid out its own approach in February 2026, saying it expected to raise $45 billion to $50 billion during the year through a mix of debt and stock. The money is intended to expand cloud infrastructure capacity.
The company has not said how the total would be divided between the two instruments. Its willingness to issue stock at all indicates it views added capacity for cloud and AI customers as worth some dilution for existing shareholders.
Spending Plans Keep Climbing
The financing push reflects the scale of planned capital expenditure. In April 2026, Alphabet, Amazon, Microsoft and Meta signaled that AI investment would not slow, with combined 2026 spending reported at more than $730 billion, up from roughly $700 billion previously.
Data centers, chips, power and networking equipment must be paid for well before the revenue they support fully materializes. When that spending exceeds operating cash flow, companies fill the gap with borrowing, share sales or both.
Microsoft is part of the spending group, but none of the cited reports describe a Microsoft bond or stock offering.
Why Companies Choose Bonds or Stock
Debt preserves ownership and carries fixed interest costs, which appeals to companies with strong credit ratings. The downside is an obligation that must be met whether or not AI revenue arrives on schedule.
Equity has no repayment date and reduces leverage, but it dilutes existing shareholders and can weigh on the share price. Selling large amounts of stock is also harder when investors are already uneasy about the returns on AI spending, a concern that has surfaced in recent market swings.
For now, Alphabet, Amazon and NVIDIA appear to be leaning on bonds, Oracle is using a blend, and Meta is the only company confirmed to be pursuing public equity at this scale.
What the Shift Means for Investors and the AI Industry
Taken together, the disclosed figures point to hundreds of billions of dollars in AI-related capital raising, a marked change from the past decade, when big tech firms largely funded growth internally and returned surplus cash through buybacks.
For shareholders, the key risks are dilution, rising leverage and the possibility that demand for AI services falls short of the capacity being built. For suppliers of chips, memory and power equipment, well-funded customers suggest orders will keep flowing.
For startups and AI labs that rent compute from these providers, more capacity could eventually ease supply constraints, though the pace will depend on financing conditions and how investors respond to an increasingly capital-hungry industry.
Source: https://tech-insider.org/
