Artificial Intelligence1 min read

The question we should all be asking about AI

By · Published by Everything Blog

In short

Plunging equity valuations across Big Tech have intensified scrutiny over whether massive infrastructure spending will ever yield sufficient revenue. To bridge the gap before data centers generate profits, hyperscalers are leaning into the bond market to fuel unprecedented expansions. Intel recently suffered its largest drop since the Nixon era as the Nasdaq approached correction territory. The trajectory of the entire sector now hinges on how much debt lenders are willing to absorb before demanding concrete returns.

Key points

  • Big Tech firms are increasingly relying on bond markets to fund infrastructure because up…: Big Tech firms are increasingly relying on bond markets to fund infrastructure because upfront data center costs take up to two years to monetize.
  • Top-tier tech giants retain an estimated borrowing capacity of up to $510 billion in top-…: Top-tier tech giants retain an estimated borrowing capacity of up to $510 billion in top-tier debt alongside private equity funding.
  • Heavily indebted and higher-risk firms like neocloud computing providers face a much more…: Heavily indebted and higher-risk firms like neocloud computing providers face a much more precarious credit environment than established hyperscalers.

Sources checked by our analysis pipeline: 1

The stock market is turning its back on Big Tech.

Google just had its worst day ever. Intel tumbled more than any day since the Nixon administration. Amazon and Meta both had significant declines this week, too. The Nasdaq tumbled and is just over a percentage point away from a correction (a 10% decline from its all-time high).

The common thread: Building the infrastructure to power AI is really, really expensive – and Big Tech profits aren’t yet justifying that massive expense. AI companies are increasingly doling out more cash for data centers than their businesses are able to generate.

But if the stock market is supposed be to delivering some kind of message, Big Tech isn’t hearing it.

Spending on AI has reached $1.6 trillion since 2023 and is expected to hit $1 trillion every single year for the next decade or so, according to JPMorgan. None of that changed this week.

That’s because the market that’s financing all of this – the bond market – is mostly shrugging its shoulders while the stock market is in the midst…

Artificial Intelligence