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Tech Giants Issue $66B in High-Yield Bonds to Fund AI Arms Race, Warns Grant Cardone

Meta, Google, Amazon and peers have sold roughly $66 billion in high-yield bonds to sustain AI spending, with coupons up to 9.75%, according to billionaire investor Grant Cardone. He warns that if AI execution disappoints, bond yields could fall sharply as investors reprice the risk.

Tech Giants Turn to Junk Bonds to Fuel AI Spending

Billionaire investor Grant Cardone has flagged a striking development in the AI arms race: Meta, Google, Amazon and other technology giants are increasingly turning to high-yield (junk) bonds to fund their artificial intelligence research and development. Roughly $66 billion of such debt has been sold globally, with coupon rates reaching as high as 9.75%.

Why the Bond Market Matters for AI

Traditionally, mega-cap technology companies have funded innovation from their own cash flows. The shift toward high-yield issuance signals that even the largest players are finding the capital demands of AI infrastructure — from GPU clusters to data centers — too large to absorb internally. Cardone argues these companies believe they must spend whatever it takes on AI simply to survive the competitive onslaught.

  • Scale of issuance: Approximately $66 billion in high-yield bonds sold globally.
  • Coupon rates: Yields as high as 9.75%, far above typical investment-grade tech debt.
  • Motivation: Maintaining R&D and infrastructure spending in a winner-takes-most AI market.

What Happens If the AI Bet Falls Short

The critical risk, is execution. If the promised returns on AI investments fail to materialize, the credit market will reprice these bonds sharply, sending yields lower as investors reassess growth expectations — or, conversely, demand higher compensation for perceived risk. Either way, the cost of capital for the next wave of AI spending could shift dramatically.

This dynamic matters well beyond Silicon Valley. High-yield debt tied to AI ambitions now sits in portfolios across pension funds, insurers and retail investors. A repricing event could ripple through credit markets, equity valuations and the broader technology sector.

Forward-Looking Perspective

Investors should watch three signals: the pace of new high-yield issuance from tech issuers, the spread between AI-linked junk bonds and the broader high-yield index, and whether AI revenue disclosures begin to justify the leverage. If AI monetization accelerates, today’s high coupons may look cheap. If it stalls, the market may discover that the AI trade has quietly become a credit trade — with all the cyclical risks that entails.

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