AI Bubble Becomes Credit's Biggest Scare, BofA Survey Shows

An 'AI bubble' has become the primary concern for credit investors for the first time, according to a Bank of America (BofA) survey. The shift reflects a growing unease about the sustainability of the current AI investment and valuation boom. Only 23% of respondents cited AI as their top concern in the latest survey, up from 9% in December 2025.

The concern over AI has overtaken other risks like geopolitical tensions and global recession, which dominated in 2025. The survey also noted that expectations for issuance from hyperscalers have risen to $285 billion in 2026, a significant increase from $210 billion in the prior survey.

Investors are increasingly questioning whether AI will universally improve corporate earnings or whether it may also lead to profit cannibalization and reduced capital spending, according to market analysis. Some sectors are already showing signs of volatility, as seen in the sharp decline of software-as-a-service (SaaS) companies and the emergence of a "SaaSpocalypse" as reported.

Why Did This Happen?

BofA strategists highlighted the growing skepticism about AI's potential to deliver long-term value. This shift in sentiment is driven by concerns about overvaluation and the economic implications of widespread AI adoption. The market is now focused on identifying companies that can adapt to AI rather than simply investing in all AI-related ventures as noted.

The AI investment surge is being fueled by significant capital expenditures, often financed by debt. This has led to rising corporate bond spreads and increased pressure on private credit funds. For example, U.S. hyperscalers are seeing their corporate bond spreads widen to three-year highs.

How Are Markets Responding?

Credit derivatives are becoming increasingly important as investors seek to hedge against potential defaults in AI-driven sectors according to market reports. Contracts tied to single companies, particularly in the tech sector, have become among the most actively traded in the U.S. This trend reflects a heightened awareness of the risks associated with heavy debt financing in the AI space.

Active investing is also gaining traction as investors try to sort through which companies will benefit most from AI adoption. Jean Boivin at BlackRock noted that the market is now laser-focused on identifying winners and losers in the AI race. This trend underscores the importance of strategic investment over broad-based exposure.

What Are Analysts Watching Next?

BofA analysts are closely monitoring the impact of AI on corporate obsolescence and profitability. While 10% of respondents in the survey see AI-driven corporate obsolescence as a major risk, many remain optimistic about the long-term potential of AI.

Market participants are also tracking the broader economic implications of AI. These include potential job losses and reduced consumer spending, which could hurt the very tech companies that are driving the AI boom.

Finally, there is growing concern about the accuracy of AI-related earnings forecasts. The Congressional Budget Office predicts AI will only boost productivity by 0.1% per year over the next decade, significantly below market expectations. This discrepancy may lead to market corrections if AI fails to deliver the anticipated economic benefits.

In conclusion, the rise of the AI bubble as a top concern for credit investors reflects a broader shift in market sentiment. As investors reassess the risks and rewards of AI-driven growth, the focus is increasingly on sustainability, profitability, and strategic investment over blind optimism.