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Meta seeks $20bn-$25bn bond sale to fund AI spending

Meta is seeking to raise $20bn to $25bn in a bond sale on Tuesday, two-thirds in US dollars and one-third in euros, to fund AI spending, people familiar with the matter told CNBC; pricing was expected that afternoon.

AI & modelsNewsRachel NwosuPublished: 4 November 20263 min readSources 28
Meta seeks $20bn-$25bn bond sale to fund AI spending

Meta is seeking to raise $20bn to $25bn in a bond sale on Tuesday, with two-thirds of the debt expected in US dollars and one-third in euros, according to people familiar with the matter cited by CNBC. Final pricing was expected Tuesday afternoon. Bloomberg News first reported the plan. Meta declined to comment.

Why Meta is borrowing

The sale comes days after S&P Global Ratings revised Meta's outlook from AA- stable to AA- negative on Friday, citing "uncertainty" about its capex spending and negative free cash flow. In its third-quarter report last month, Meta put full-year capex at $135bn to $145bn, a $5bn increase to the low end of previous guidance. It posted negative free cash flow of $2.12bn, joining Alphabet and Amazon.

Meta raised $25bn in an April bond sale. It said last week it plans to raise $95bn: $35bn in underwritten public equity offerings and $60bn through an at-the-market programme.

Investor caution

At the Hong Kong Monetary Authority's Global Financial Leaders' Investment Summit on Tuesday, Blackstone President Jon Gray said the scale of capital required for AI is creating concentration risks for debt investors, both across the sector and at individual companies. Lenders have limited upside because returns are largely confined to interest and principal, he said. Gray said financing the buildout would require a combination of public markets, banks and private capital, with companies turning to structured transactions to limit debt.

He said spending on AI models across Blackstone's portfolio companies had risen 20-fold over the past year as businesses saw financial benefits from uses including coding, customer engagement and content creation. Gray said demand for computing power was "running well ahead of supply".

Pimco CEO Emmanuel Roman, on the same panel, said about $550bn in AI debt had been issued in various forms so far this year. He said AI-related capital spending could reach around $10tn over the next five years, citing General Atlantic CEO Bill Ford's estimate, and compared that with a global corporate bond market of roughly $20tn. "At some point in time, it's going to be too much," Roman said.

Goldman Sachs wrote in a report on Monday that global data center demand will require about $8.5tn in capital spending over the next five years. Reuters reported from the summit that combined tech spending is set to exceed $730bn this year, up from about $700bn, and that Alphabet sold €6bn ($6.7bn) in bonds on Monday.

Meta's stock rose 2.7% on Tuesday after falling in 12 of the prior 14 sessions and closing October with its worst month in four years, according to CNBC.

What happens next

The pricing will show how much appetite remains for AI-related debt after Gray's and Roman's warnings. The $95bn programme, starting with $35bn in public equity, will test demand for Meta's shares. Roman said even with a mix of equity and debt, the amount required would be "gigantic".

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Sources

28
  1. 01Meta seeks to raise up to $25 billion in debt sale as AI spending jumpsEN
  2. 02Blackstone president calls for more equity to fund AI buildout as debt risks mountEN
  3. 03Big ticket tech deals needed to keep pace with AI growth boom, financial leaders sayEN
  4. 04Pimco Cut AI Debt Stakes by Half and Skirted LossesEN
  5. 05Pimco Reduces Holdings of Meta and Oracle AI Debt Amid Market CorrectionEN
  6. 06Qualcomm signs 5G infrastructure agreement with SpaceX for Starlink Mobile's nationwide network in USEN
  7. 07SpaceX signs deal with Qualcomm to provide network technology for U.S. mobile serviceEN
  8. 08Optimum forms group to explore 'potential strategic and financial transactions'EN
  9. 09Binance breach puts custody at center of crypto infrastructure tradeEN
  10. 10EcoFlow launches TITAN Series backup ecosystem with up to $2,199 savings, Lectric limited-edition XP4 750 e-bike deals, moreEN
  11. 11 Do we know how many Starship launches SpaceX will need to get NASA astronauts to the moon? No. Will its refuelling plan be simple? Also no. EN
  12. 12Qualcomm Dragonwing Nabs a Big SpaceX Starlink Mobile Nationwide US 5G Network WinEN
  13. 13SpaceX boldly goes into 'huge' 5G network rollout with QualcommEN
  14. 14Why Boost Mobile isn't SpaceX's shortcut to an MVNOEN
  15. 15Elon Musk: SpaceX will offenbar Mobilfunker Boost übernehmen – Deutsche Mobilfunk-Aktien geben nachEN
  16. 16 What is Starshield? A look at SpaceX's military satellite network EN
  17. 17Russian Police Arrest 3 Suspected VasyGrek Hackers, Dismantle Criminal InfrastructureEN
  18. 18Bourla expects no changes to MFN deals after midtermsEN
  19. 19 Piero Cipollone: Next-day securities settlement, tokenisation and the transformation of Europe’s financial infrastructureEN
  20. 20 Happy Halloween! SpaceX launches 27 Starlink satellites to orbit from California (video) EN
  21. 21Bluetti 288Wh Elite 30 Mini power station exclusive pre-order deals, Aventon Abound SR + LR cargo e-bikes first savings, moreEN
  22. 22SpaceX eyes back door to MVNO via Boost Mobile – reportEN
  23. 23SpaceX Completes Three Static Fires in Three Days for Flight 15EN
  24. 24Will Islamic Finance Expand Financial Inclusion in Uzbekistan?EN
  25. 25T-Mobile: We'll be first with 6G, and no to SpaceX MVNOEN
  26. 26SpaceX's spectrum quest could lead to the 600MHz bandEN
  27. 27Launch HN: Momentic (YC W24) – Agents that catch bugs by using your appEN
  28. 28Oracle Cloud to Offer Google TPUs and New AI ChipsEN

All figures and quotations in this text come from the sources listed below.

Content prepared by the editorial team with AI assistance.

Rachel Nwosu

Rachel Nwosu

AI, models and technology

Rachel Nwosu covers AI, models and technology for FLASH24, working from public model documentation, benchmark releases and repository histories rather than press summaries, and she skips announcements that arrive without reproducible numbers. She checks training-data claims against dataset cards and reruns reported metrics where code is available. She spends much of her week interviewing researchers and engineers, tracking model launch calendars, and comparing vendor benchmarks with independent evaluations. Outside the desk she runs 3D printers, restores old computers, and tests how models learn from internet junk. She does not publish benchmark figures she cannot trace to a source.

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