Meta to Raise $95 Billion, With Nvidia, AMD and Broadcom Bidding for a Piece

Nvidia, Advanced Micro Devices and Broadcom have expressed interest in buying up to $5 billion of Meta Platforms' $35 billion stock offering, part of a financing push the Facebook parent says will total roughly $95 billion. Meta announced the plans on Monday. Its stock fell 1.9% on the same day.

The $35 billion offering, in common and preferred stock, will fund what Meta calls "AI infrastructure and personal superintelligence." The company said its investments in these technologies "are already generating tangible returns" by increasing engagement with its products and improving advertising and monetization.

Where does the rest of the $95 billion come from?

A second piece is an at-the-market program worth up to $60 billion, tied to the launch of Meta's new Class C shares. The company created that nonvoting class specifically to help it raise money. Those shares are expected to debut in the first quarter of next year.

The financing arrives on top of already steep spending. Meta recently said it expects capital expenditures of about $135 billion to $145 billion this year — money directed at long-lived assets meant to benefit the business over time.

William Blair analyst Ralph Schackart said the $95 billion plan reflects "the substantial capital needed to succeed in the AI race" and to afford the infrastructure build-out. The offerings "significantly expand Meta's funding flexibility" in addition to its operating cash flow and debt, he wrote in a note to clients.

Why are Meta's chip suppliers buying its stock?

Ryan Lee, senior vice president of product and strategy at ETF provider Direxion, said Nvidia, AMD and Broadcom supporting the offering "is not surprising." The semiconductor makers need major cloud-services providers like Meta to keep spending on chips and other AI infrastructure.

The AI trade has reached a point where the capital needed to fund the build-out isn't widely available, Lee said. Computing power has long been the constraint for AI companies; now funding is becoming a scarce resource for hyperscalers too. "There's only so many people and companies and entities that are able to provide this level of liquidity," Lee noted. That means Meta competes with other AI-model builders not only for chips, but for the money to secure that hardware.

Bob Lang, founder of options-trading service Explosive Options, agreed that the chip companies "have a vested interest" in making sure their biggest customers can raise the funds needed to keep buying their products "without hitting the wall on spending." Following SpaceX's earnings report earlier this month, he added, investors got a taste for AI-driven earnings and saw that "high margins actually do exist."

Still, Lang said it's unclear how much longer the debt market will stay welcoming to the massive sums Meta and its AI peers need to keep funding the build-out.

What should investors watch as the money circulates?

Devon Coombs, a teaching professor of finance at Santa Clara University's Leavey School of Business, flagged the circular flow of cash through the AI supply chain. As cash flows swell and "become increasingly interconnected, investors need to understand how much reported revenue represents independent customer demand versus spending supported by investments from companies participating in the same ecosystem," he said in emailed comments.

Coombs said Meta's equity offering looks like a reasonable way to manage its massive AI investments, but investors should track the economics of these interconnected AI relationships, how sustainable revenue growth is, "and whether the industry's collective investment assumptions are reasonable."

Schackart expects investors to stay wary of Meta's financing and the potential for more raises down the line. Even so, he and his team "believe that Meta will ultimately produce a profitable AI business and its returns longer term should help the company diversify, although the path may not be linear."

The $60 billion Class C debut in early 2026 will be the next concrete test of whether markets can absorb the AI sector's funding needs.