Nvidia and AI’s Next Phase: More Volatility, More Opportunity

How do recent events potentially affect AI investors?

AI has dominated the market narrative and helped shape investment returns throughout 2026. Technology companies have generated powerful earnings growth, while massive investment in chips, data centers, power, and other infrastructure has created opportunities well beyond the information technology sector.

Recent volatility surrounding Nvidia and other AI-related companies, combined with a changing postelection policy environment, is challenging the strength of that narrative. Last week’s U.S. election may affect the pace and cost of AI compute power going forward, but it’s unlikely to affect the overall need to add capacity over time. Much of the debate involves local regulation, rather than federal, which could create winners and losers. Any political pushback on the data center buildout is far more likely to slow and modify than meaningfully halt the buildout for AI. A slower build may help the creditworthiness for different parts of the AI infrastructure stack, as capacity better aligns with actual demand and necessary financing is absorbed at a more moderate pace. 

Still, the fallout of recent events has surely rattled global equity markets, particularly investors heavily exposed to Nvidia’s growth prospects. Conversely, we have seen that bond investors dependent on the company’s cash flows largely have shrugged off the event thus far. However, as the world’s dominant supplier of AI chip compute capacity and provider of financing to purchase those chips, a change in the company’s leadership may affect the broader AI ecosystem.

For equity investors, the focus may shift from AI spending to AI returns

The first phase of the buildout rewarded many of the companies supplying the infrastructure: chipmakers, data center operators, networking companies, and power providers. As spending grows, there will likely be a higher level of scrutiny from investors on those same companies. The critical question is no longer simply who is investing in AI, but who can translate that investment into durable revenue, productivity, and earnings?

That said, the recent sector volatility highlights the other side of that equation. Expectations around AI remain high, valuations in parts of the ecosystem have reflected tremendous future growth, and a slower pace of data center development could affect demand across the infrastructure stack. Moving forward, lower infrastructure costs and greater competition could benefit companies adopting AI, potentially broadening the universe of beneficiaries.

At Allspring, we see selective opportunities emerging among semiconductor companies that can offer credible second-source alternatives for critical AI chips. Nvidia’s latest developments could weigh on sentiment across the broader AI trade, but in the near term, we believe the investor reception to Anthropic’s initial public offering is likely to be a more important driver of AI sentiment in the market. We don’t believe the takeaway for investors is that the AI opportunity has diminished; rather, the opportunity may be entering a more complicated phase.

Fixed income presents a different set of opportunities and risks

Funding the AI buildout requires enormous amounts of capital. Data centers need not only chips, but also power generation, transmission, cooling, networking, and other physical infrastructure. That investment is creating not only massive financing needs, but also potentially attractive opportunities for bond investors.

The result of recent headlines and turmoil is creating more tiering across the AI debt ecosystem. However, we think this is a logical and healthy outcome at this point in the cycle, as both higher- and lower-quality companies may need to be more disciplined about their capital structures going forward. As a result, management teams could potentially be forced into issuing more equity than they otherwise would have.

We believe it’s important to separate AI-related debt from that of equities in the context of the U.S. election. While AI-related equities suffered losses immediately after the election, credit spreads in senior unsecured bonds issued by hyperscalers (such as Oracle, Microsoft, and Meta) held in stronger relative to their equity counterparts. Unlike equity investors who may be tied to lofty and sensitive valuations, debt holders only require cash flow sufficient to meet future coupon and principal repayments.

At Allspring, we argue that a slower and lower pace of capital expenditure may be positive for bondholders, as it can provide more of a cushion for our interest and principal payments. We expect this to be a volatile and headline-prone sector for some time, but we are of the opinion that credit fundamentals remain sound.

What does this mean for the future of AI investment?

The AI story is not going away, but its next phase may look very different from its first. For investors, we believe the opportunity is increasingly about looking beyond a handful of AI leaders and understanding the entire ecosystem: who builds it; who finances it; who benefits from it; and, ultimately, who can convert spending into return on investment.

We believe that active management can offer value across the AI infrastructure stack and across capital structures. This can present itself in evaluating global equities that provide secondary chip alternatives or in evaluating AI debt amid increased competition for new financing. In our view, this environment makes it critical to evaluate security selection from a bottom-up, fundamental perspective and to stay flexible as conditions change.

The securities listed should not be considered a recommendation to purchase or sell any particular security. The securities may or may not be in Allspring portfolios.

All investing involves risks, including the possible loss of principal. There can be no assurance that any investment strategy will be successful. Investments fluctuate with changes in market and economic conditions and in different environments due to numerous factors, some of which may be unpredictable. Each asset class has its own risk and return characteristics.

This material is provided for informational purposes only and is intended for retail distribution in the United States.

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