Meta's $15 Billion Bond Sale Highlights New Reality for Tech Debt

Meta Platforms' decision to issue billions of dollars in corporate bonds on Election Day underscored the growing importance of financing strategy as technology companies prepare to spend heavily on artificial intelligence infrastructure.

Meta raised $15 billion through a bond offering as investors increasingly scrutinized the borrowing and spending plans of major technology companies investing in AI infrastructure. [Photo: Yuri Samoilov Flickr]

The Facebook and Instagram parent launched its US-dollar bond offering on Tuesday, November 3, as Americans went to the polls, seeking to raise funds for its expanding AI investments, Davide Barbuscia reported for Bloomberg News.

Meta ultimately raised $15 billion through the US-dollar bond sale, attracting as much as $58 billion in investor orders, according to Bloomberg.

The company had previously considered raising at least $20 billion through a broader bond offering that could also include euro-denominated debt.

The timing of the sale proved significant.

Democrats' sweeping victories in the midterm elections raised concerns that a new congressional majority could impose tighter restrictions on AI development and data center construction, potentially affecting the expected returns on major technology investments.

US equities fell sharply on Thursday, while risk premiums on technology bonds rose during the week as investors reassessed the financial risks associated with the AI infrastructure boom.

Even before the election, fund managers had become more cautious about the volume of debt issued by major technology companies, often referred to as hyperscalers.

These companies are investing heavily in data centers, advanced chips and computing capacity, but investors increasingly want evidence that the spending will generate sufficient revenue and free cash flow.

As a result, technology companies seeking to borrow have begun paying closer attention to the timing and communication of bond offerings, adopting practices more commonly associated with lower-rated or high-yield debt markets.

“Investors are demanding a higher premium and much greater clarity on how enormous AI capital expenditure will translate into revenue and free cash flow,” said Jack Daley, a portfolio manager at TwentyFour Asset Management.

“Hyperscalers have started to guide the market more on the timings of deals and on when positive free cash flow will return,” he added.