Meta outlines up to $95 billion in stock sales as Nvidia commits $3 billion
publishers 31articles 34first reported 26 Oct, 11:09 UTCdeveloping since 26 Oct · 7 editions
Meta has announced plans to raise as much as $95 billion through stock sales to finance its expanding artificial intelligence infrastructure, with Nvidia committing to invest $3 billion in the company.
The initial fundraising consists of about $35 billion in underwritten public offerings: approximately $22.5 billion of Class A common stock and $12.5 billion of depositary shares representing mandatory convertible preferred stock. Meta also plans an at-the-market program of up to $60 billion after its new nonvoting Class C shares begin trading, expected in the first quarter of 2027. The timing, size and terms of that later program have not been finalized.
Nvidia, AMD and Broadcom initially indicated nonbinding interest in buying up to $5 billion of the offered common stock in aggregate. Nvidia subsequently said it would invest $3 billion and expand its partnership with Meta, including work on Meta’s Muse AI agent and deployment of Nvidia’s Vera Rubin and Vera CPU technology.
Meta said the proceeds would support its core business, emerging AI products and the computing capacity needed for its AI ambitions. The company expects capital expenditures of $135 billion to $145 billion this year and plans to finance its investments through operating cash flow, debt, partnerships and equity.
HOW THIS STORY WAS MADE
Written from 8 articles, 4 with the publisher's own text; 7 independent newsrooms once syndicated copies count as one; this version written 30 h after the record first saw the story; the editor kept it as written.
- Publishers
- 31
- Source articles
- 34
- Given to the writer
- 8, 4 with the article's own text
- Independent newsrooms
- 7
- This version written
- 30 h after the record first saw the story
- Second model (editor)
- kept as written
- Publication gate
- passed
- Human review
- none
WHAT THE EDITOR DID
The second model checked the writer's draft against the same sources and published it as written.
Written by a language model from the sources above, then checked by a second model that may only cut, attribute or correct. How it works →