Elon Musk Just Delivered a Sweeping Blow to Nvidia Investors

By now, you're probably well aware that Nvidia (NASDAQ: NVDA) is one of the biggest winners of the artificial intelligence (AI) revolution. Its graphics processing units (GPUs) are essential infrastructure for companies developing generative AI models. This has fueled an unprecedented spending boom among technology companies and specialized cloud computing providers.

However, two prominent investors are sounding the alarm about the sustainability of this infrastructure spending. Over the weekend, Elon Musk and venture capitalist Chamath Palihapitiya warned that the AI infrastructure build-out could face a major shakeout in 2027.

Their concerns revolve around tightening credit markets, delayed data center construction, and the possibility that expensive computing equipment could sit idle. For Nvidia investors, these issues raise an uncomfortable question: What happens when the biggest buyers of GPUs can no longer afford them?

Image source: Nvidia.

What risks does the AI infrastructure boom face?

In a recent post on X (formerly Twitter), Palihapitiya offered his assessment of the AI data center industry. Drawing on his experience investing in energized land assets, he argued that specialized cloud computing providers -- commonly called neoclouds -- are poorly capitalized and struggling to execute their expansion efforts.

The most mainstream neoclouds are CoreWeave and Nebius. Unlike traditional hyperscalers like Microsoft, Amazon, and Alphabet, neoclouds pretty much only focus on providing accelerated compute infrastructure to customers developing and deploying AI applications.

Building a data center requires more than just purchasing GPUs. Operators need to secure land, electricity, cooling systems, networking equipment, and financing. Even after securing these resources, construction or permitting delays can prevent computing equipment from becoming operational.

Palihapitiya warns that these challenges could leave "a lot of partially stranded compute" sitting in inventory next year. If that proves correct, he thinks the hyperscalers facing capacity constraints will prioritize their own AI workloads over third-party customers. In turn, smaller companies will scramble for alternatives.

SpaceX CEO Elon Musk. Image source: The White House.

Musk agreed with this outlook. He explained that lenders have become reluctant to finance companies that do not have "substantial revenue independent of AI data centers." While Musk's Space Exploration Technologies recently secured $40 billion in debt financing for GPUs, Musk emphasized the company was able to raise this money because the company's credit profile is investment-grade and it has other established business through Starlink and rocket launch cadences, providing a financial advantage that most neoclouds lack.

How slowing infrastructure spend affects Nvidia

Let's consider how the AI infrastructure supply chain works. Nvidia designs GPUs that are purchased by hyperscalers and neoclouds. These customers install the chips in data centers and provide compute to AI developers. This business model essentially depends on continued access to capital and the timely completion of data center build-outs. If financing becomes unavailable or electricity connections are delayed, a company could be forced to postpone construction. Consequently, it may delay or even cancel planned GPU purchases.

Now imagine these problems ripple through dozens of operators at the same time. Nvidia would almost certainly experience a meaningful slowdown in orders, even if the underlying demand for AI remains strong overall.

The situation becomes amplified when you consider the hyperscalers. Companies such as Microsoft, Amazon, and Alphabet all have stronger balance sheets than most neoclouds. Nevertheless, their spending is not unlimited. If infrastructure bottlenecks prevent them from deploying and monetizing existing GPUs, the economics of purchasing additional equipment are less attractive until those problems are resolved.

What could happen to Nvidia stock in 2027?

It's important to understand that Nvidia's competitive advantages are still substantial. Outside of GPUs, the company's networking technology and CUDA software have helped Nvidia build an ecosystem and establish the company as a dominant supplier of AI infrastructure.

With that said, Musk and Palihapitiya are expressing risks that investors shouldn't dismiss. The AI infrastructure boom depends on enormous outlays of capital expenditures (capex), access to debt markets, and the ability to complete construction projects on schedule. At the end of the day, Musk's comments suggest the AI industry is approaching a more difficult phase where financial discipline is just as important as technological innovation.

The takeaway for Nvidia investors is that AI demand can remain strong while infrastructure spending slows. Both things can be true at the same time. If 2027 brings the consolidation Musk and Palihapitiya anticipate, Nvidia will have to accept that the world's most sought-after chips aren't immune to financial limitations.

For investors, the concern is that Nvidia's valuation already reflects expectations of robust growth. If GPU orders slow, even temporarily, Wall Street will reassess how much it's willing to pay for the company's future earnings.

Adam Spatacco has positions in Alphabet, Amazon, Microsoft, and Nvidia. The Motley Fool has positions in and recommends Alphabet, Amazon, Microsoft, and Nvidia. The Motley Fool has a disclosure policy.