High-yielding AI bonds from hyperscalers like Alphabet, Amazon, Meta, and Oracle are attracting Wall Street investors, offering yields from 4.75% to 8%. While increased issuance is contributing to rising sovereign bond yields, financial experts like UBS’ Leslie Falconio and Morningstar Wealth’s Dominic Pappalardo see value in these largely investment-grade assets due to the issuers’ strong financials. However, Morgan Stanley Investment Management’s Vishal Khanduja advises diligent research, warning that not all AI-linked bonds offer uniform credit quality or project efficacy, and highlights the speculative nature of some AI investments as a key risk for income investors.
Artificial intelligence is not only driving technological advancement but also reshaping bond markets, presenting a unique opportunity for income-focused investors despite contributing to rising yields. Hyperscale technology giants, eager to fund their ambitious AI infrastructure buildouts, have dramatically increased their bond issuance. Companies like Alphabet, Amazon, Meta Platforms, and Oracle collectively issued nearly $223 billion in bonds by August 20 this year, a figure more than double the total for all of 2025, according to LSEG data.
This surge in supply, often referred to as a 'deluge', is a significant factor behind the ascent of sovereign bond yields, notes Krishna Guha, head of economics and central bank strategy at Evercore ISI. Guha explains that high-quality hyperscaler debt acts as a direct competitor to government debt, and its global issuance across various currencies helps account for the worldwide upward pressure on yields. Investors are also bracing for even greater supply in the future.
The bond market has seen considerable volatility. The 30-year Treasury yield recently touched a 19-year high of 5.33% before a temporary retreat following news of increased Treasury bond buybacks, only to climb higher again. Broader concerns like the burgeoning U.S. government deficit, which surpassed $40 trillion recently (more than doubling in a decade), and persistent inflation fears are also playing a role.
Attractive Yields with Underlying Risks
For investors, these hyperscaler bonds are currently offering attractive yields ranging from 4.75% to 8%, depending on the issuer and maturity. Dominic Pappalardo, chief multi-asset strategist for Morningstar Wealth, points out that while these bonds are largely investment grade and long-dated, the sheer volume of debt introduces inherent risk. However, he emphasizes that the issuers are robust, highly profitable, cash-rich, and experiencing substantial growth, making the increased debt levels manageable.
Leslie Falconio, head of taxable fixed income strategy at UBS Americas' chief investment office, sees compelling value in high-quality bonds from major hyperscalers. Despite the surprising volume of supply, institutional demand from entities like insurance companies, pension funds, and foundations remains strong. Falconio views this as an opportune moment to lock in favorable yields, acknowledging that periods of credit spread widening might occur due to market supply.
Vishal Khanduja, head of broad markets fixed income at Morgan Stanley Investment Management, cautions investors to conduct thorough due diligence despite the 'extremely attractive' yields. He highlights significant dispersion in the market, stressing that not all AI-related bond issues possess uniform credit or structural quality, or consistent project efficacy. Khanduja estimates that investors can achieve approximately 6.5% for long-end bonds from investment-grade AI leaders.
Strategies for Finding Opportunities and Managing Exposure
UBS' Leslie Falconio recommends focusing on large, high-quality issuers with robust cash flows and strong balance sheets, advocating for a long-term holding strategy rather than short-term trading to capitalize on compounding income. Morgan Stanley's Vishal Khanduja and his team undertake extensive research, scrutinizing factors such as the bond's off-taker (the customer for the underlying project, like a data center operator), the deal's structure, location, power agreements (a critical scarcity in the U.S.), municipal approvals, project timelines, and contractor experience. Oracle is cited as an example of such a bond held within the Eaton Vance Total Return Bond ETF, co-managed by Khanduja.
Individual investors likely already have some exposure to hyperscalers through core bond funds, which typically allocate around 8% of the investment-grade index to these assets, according to Falconio. To boost this exposure, Morningstar Wealth's Pappalardo suggests considering corporate bond funds or working with a financial advisor to purchase individual bonds. Diversification across both fixed income and equity portfolios is crucial, especially given the common tech-heavy nature of many equity holdings.
Navigating the Risks
While much of the hyperscaler debt maintains investment-grade status, Pappalardo warns that some underlying AI investments are inherently speculative. The return on these significant investments is not yet fully quantifiable, with companies often relying on future revenues and profits that have yet to materialize. Furthermore, the likelihood of continued debt issuance by these tech giants presents a perpetual risk of market oversupply, which could impact bond performance.
