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If the Bubble Bursts, Ai Contagion Channels Will Pose Massive Economic Risks

January 21, 2026
minute read

Investors have poured enormous amounts of capital into companies driving the artificial intelligence boom, and according to Moody’s Ratings, a sharp reversal in those valuations could have serious consequences well beyond the tech sector. A significant decline would not only hit equity markets, but could also place strain on credit markets and ripple through the broader US economy.

The rapid rise of AI-related investments has been fueled by expectations that the technology will transform productivity, corporate profitability, and long-term economic growth.

Major technology firms are racing to secure their position in this shift, committing unprecedented resources to infrastructure. This year alone, Big Tech companies are expected to spend roughly $500 billion on data centers, underscoring just how central AI has become to corporate strategy.

That pace of investment, however, has prompted growing unease among some market participants. Critics argue that investor enthusiasm has begun to outstrip fundamentals, raising concerns that valuations may be pricing in overly optimistic assumptions.

With capital flowing aggressively into AI leaders and their suppliers, skeptics warn that the market may be entering a speculative phase similar to previous tech-driven booms.

In a newly released report, Moody’s analysts led by Vincent Gusdorf stop short of declaring that a full-blown bubble has formed. Instead, they take a more measured view, acknowledging both the transformative potential of AI and the financial risks tied to elevated valuations.

The report outlines a plausible downside scenario in which valuations of AI-related companies fall by as much as 40% over the coming months, a move that would test the resilience of both investors and lenders.

Such a correction, Moody’s emphasizes, would not occur in isolation. While equity investors would be the first to feel the impact, the consequences could quickly spread into the credit market.

Many AI-focused firms and their ecosystem partners rely heavily on debt financing to fund expansion, research, and infrastructure spending. A sharp drop in equity values could weaken balance sheets, raise borrowing costs, and make refinancing more difficult.

Moody’s also highlights the various “contagion channels” through which stress in AI-linked assets could spread across the financial system. Banks with exposure to technology companies, whether through direct lending or capital markets activity, could see asset quality deteriorate. Pension funds and other long-term institutional investors, which have increased allocations to growth-oriented technology stocks, could face portfolio losses that affect funding levels.

Beyond financial institutions, the report notes that the effects could eventually reach the broader economy. Tighter credit conditions, declining investor confidence, and reduced capital spending could slow economic momentum. If companies respond by cutting back on hiring or delaying projects, the impact may be felt by workers and consumers alike.

The consumer channel is particularly important, Moody’s suggests, because household sentiment and spending often react to market volatility. Sharp declines in high-profile technology stocks can weigh on confidence, especially when retirement accounts and investment portfolios are involved. In turn, weaker consumer spending could amplify economic softness, reinforcing the negative feedback loop.

At the same time, Moody’s is careful to distinguish between a valuation reset and a systemic crisis. The report acknowledges that many leading AI companies are profitable, cash-rich, and strategically important, which could help cushion the blow in a downturn. Unlike past speculative episodes, a large portion of AI investment today is being driven by established firms with strong market positions rather than purely speculative startups.

Still, the agency warns that the sheer scale of capital committed to AI increases the stakes. With hundreds of billions of dollars flowing into infrastructure, software, and related services, even a partial pullback could have meaningful macroeconomic effects. Investors, lenders, and policymakers alike will be watching closely for signs that expectations are being recalibrated.

Ultimately, Moody’s message is one of caution rather than alarm. AI remains a powerful long-term theme, but the current level of enthusiasm leaves markets vulnerable to disappointment. A more balanced reassessment of valuations, while painful in the short term, could prove healthier for financial stability over time.

For investors, the report serves as a reminder that transformative technologies do not eliminate traditional market risks. Even the most compelling growth stories can experience sharp corrections, especially when optimism runs ahead of fundamentals.

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Eric Ng
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Cathy Hills
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