AI Boom Reshapes Credit Markets: Soaring Loan Demand, Can Investors Still Rely on Yield Spreads?

In recent years, credit markets have outperformed expectations, supported by economic resilience, low corporate default rates, and solid overall financial fundamentals. This has allowed investors who maintained exposure to credit assets during periods of market volatility to achieve solid returns.

However, with the AI infrastructure build-out triggering a massive investment wave and geopolitical tensions and inflation risks intensifying, the forces that have driven credit markets are shifting. Investors may no longer be able to profit easily from broad market rallies. Instead, the importance of credit analysis and bond selection capabilities is set to increase further.

James Durance, portfolio manager of Fidelity's Global High-Grade Bond Fund, highlights that the massive financing demand driven by AI infrastructure investment, along with macroeconomic uncertainty stemming from geopolitical tensions and inflation pressures, are becoming the two key forces reshaping global credit markets.

In particular, the investment boom in AI infrastructure has become a defining theme of the current credit cycle. Major global technology companies continue to invest heavily in building data centers, expanding computing power, and related infrastructure. Although these firms are mostly high-quality investment-grade issuers with relatively strong financials, the massive capital expenditures required for the rapid expansion of the AI industry are pushing up corporate debt issuance.

Durance believes that as tech firms continue to raise capital, tech bonds could become one of the largest segments in the global credit market, with their risk contribution potentially approaching that of the financial sector.

Notably, the impact of AI financing is no longer confined to the U.S. As companies seek more diversified funding sources, related demand is spreading to European and other global credit markets, continuing to influence credit spreads.

The AI investment frenzy is not without risks. While the market currently has high confidence in the credit quality of hyperscale cloud service providers, some data center financing uses project finance structures that involve counterparty credit risk, collateral protection, equipment replacement, political environment, and future refinancing risks. In other words, while AI capital spending appears to be led by financially strong large enterprises, the actual financing chain may be more complex than it appears, requiring more granular credit risk assessment.

The impact of AI extends beyond 'who needs to borrow more'—it may also redefine the credit quality of different industries. Durance points out that industries such as publishing, media, and information services may face the restructuring of their business models and competitive landscapes due to rapid AI advancements. In contrast, banks and securities firms are protected by high regulatory barriers and market entry obstacles, making their core businesses less vulnerable to direct disruption by AI, thus potentially exhibiting higher credit resilience.

In addition to the AI financing surge, the macroeconomic environment adds further uncertainty to credit markets. Recent tensions between the U.S. and Iran have once again highlighted the importance of energy prices to financial markets. Significant oil price volatility can not only alter inflation expectations but also push up government bond yields, affecting central banks' monetary policy paths.

Durance notes that while the likelihood of a return to the high-inflation environment of 2022 remains low, prolonged high energy prices could still exert upward pressure on developed-market government bond yields. In the U.S., as the Federal Reserve adopts a more hawkish stance, markets are gradually pricing in further tightening. Europe, meanwhile, faces risks of economic slowdown, leaving future monetary policy direction uncertain.

Despite the rapid expansion of AI financing and rising geopolitical risks, credit market fundamentals remain supported. Corporate financial health remains relatively strong, default rates are low, and the likelihood of a near-term recession is limited. However, with credit spreads at relatively low levels while external risks continue to rise, market volatility could intensify.

This suggests that the investment logic for the next phase of credit markets may be changing. Even as overall credit fundamentals have not clearly deteriorated, and spreads can no longer provide the same level of safety cushion as before, investors must look beyond spreads to focus on the total yield offered by bonds, future corporate funding needs, industry competition, and balance sheet changes. While AI-driven debt expansion may not immediately turn into a credit crisis, the importance of 'picking the right bonds' has clearly increased compared to the past.

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