The significant borrowing activities undertaken by prominent technology firms to finance artificial intelligence (AI) infrastructure are exerting upward pressure on long-term U.S. Treasury yields.
This trend occurs as markets grapple with a high volume of government debt issuance. Consequently, the evolving landscape is transforming the dynamics of bond-market supply alongside burgeoning inflation apprehensions and shifting expectations regarding Federal Reserve actions.
Highlights
- In 2024 alone, Meta Platforms, Oracle, and various other tech companies have garnered $250 billion from global debt markets to bolster their AI infrastructure development.
- As of May, thirty-year Treasury yields reached a peak not seen since 2007, fueled by unprecedented long-term corporate borrowing aimed at AI, compounded by substantial U.S. federal debt issuance.
- Oracle’s five-year credit default swap ballooned from 30 to 150 basis points within a year, signaling increased credit risk amid its aggressive accumulation of AI-related debt.
AI Financing Reshapes Bond Supply
Recent data from Morgan Stanley reveals that Meta Platforms, Oracle, and other industry giants have raised an astounding $250 billion in global debt markets throughout this year.
This unprecedented borrowing pace underscores a monumental shift driven by investments in data centers, power systems, and computational capacities.
Experts, including investors and economists, assert that this surge in borrowing has significantly impacted market movements, pushing thirty-year Treasury yields to their highest levels since 2007.
While these yields have experienced some retraction, they remain elevated compared to their beginning-of-year figures, largely attributed to the influx of bonds linked to AI initiatives.
Thomas Urano of Sage Advisory estimates that annual capital spending associated with the expansion of these technologies is currently running between $750 billion and $850 billion, with projections suggesting it could approach $1 trillion by next year.
He likens this investment magnitude to that of a federal stimulus package or a monumental infrastructure program.
Long-term financing options are particularly advantageous for entities investing in assets designed for prolonged use.
Although AI chips may require periodic replacements, structures, land, and electrical connections for data centers can function effectively for two to three decades. This long-term utility incentivizes borrowers to secure fixed-rate financing with extended maturities.
Treasury Market Impact Broadens
Srini Ramaswamy, a senior financial economist at the Federal Reserve Bank of Dallas, notes that AI-driven bond issuance constitutes approximately 15% of the total duration provided by Treasury issuance, highlighting the pronounced influence of corporate borrowing on interest rate exposure within the bond market.
Moreover, Oracle has rapidly transitioned from a minor player in long-term debt issuance to a leading source of duration risk in the investment-grade sphere.
The uptick in corporate borrowing has also intensified focus on credit risk. Over the past year, the cost of Oracle’s five-year credit default swap surged to 150 basis points from about 30 basis points, reflecting growing investor trepidation regarding the company’s increased debt burden.
Ramaswamy posits that the full extent of AI-related financing could be even more substantial, as certain companies may issue shorter-dated or floating-rate debt, subsequently utilizing interest-rate swaps to establish prolonged fixed-rate exposure.
He estimates this swapping activity alone accounts for approximately $50 billion in 10-year-equivalent supply in the fourth quarter, a figure likely to have risen since.
Analysts contend that the selloff in the Treasury market cannot be solely attributed to inflationary fears or Federal Reserve policy shifts.
Jonathan Hill, head of U.S. inflation market strategy at Barclays, observes that while real yields have ascended, long-term inflation expectations are relatively subdued.
This trend aligns with an investment boom spurred by AI, which elevates current capital demand but has the potential to enhance productivity and mitigate inflation in the long run.
Hill emphasizes that extensive borrowing by the U.S. government is also amplifying yields due to increased debt-service obligations, necessitating further issuance.
Nonetheless, market observers contend that the ongoing AI expansion is becoming a critical additional source of bond supply amid exceptionally heavy federal borrowing.
In a previous article, we examined Alphabet’s $80 billion equity raise aimed at financing its AI infrastructure expansion, detailing the company’s plans to utilize these funds for enhancing data centers, chips, and global computational capacity while maintaining balance-sheet flexibility.
We also highlighted the crucial trade-off for shareholders: potential dilution that may pressure stock values, even as capital expenditures related to AI escalate across the sector.
Source link: Tradersunion.com.
