Two earnings reports just changed the AI debate
The argument that AI infrastructure spending is close to peaking took a hit over the last two weeks.
First came Nvidia. Now Dell has added another set of numbers showing that customers are still spending heavily on servers, GPUs and data-center infrastructure.
Dell reported record quarterly revenue of $47 billion, up 58% from a year ago, while earnings per share climbed 273%. More important was its fiscal 2027 outlook: management guided revenue roughly $25 billion above analyst expectations.
That is not the profile of a business watching AI demand roll over.
Nvidia told a similar story. Second-quarter revenue reached $96.2 billion, ahead of expectations, while Data Center revenue came in at $89 billion. The company now expects fiscal 2028 revenue growth of roughly 70%, compared with Wall Street estimates closer to 45%.
One company sells the chips. The other builds much of the infrastructure around them. Both are seeing demand that remains stronger than expected.
The bottleneck still looks like supply
What caught our attention most wasn’t another earnings beat. It was how both companies talked about the future.
Nvidia said memory shortages are limiting how quickly revenue can grow. Citi analysts said Dell’s guidance also assumes supply constraints, leaving room for additional upside if those pressures ease.
The implication is pretty clear: customers aren’t pulling back because they have enough AI infrastructure. Companies are still trying to get their hands on more of it.
Right now, the chain looks something like this:
- Hyperscalers keep expanding data centers
- Enterprises are beginning larger AI deployments
- Nvidia keeps selling more accelerated-computing hardware
- Dell benefits as that hardware needs servers, storage and deployment infrastructure
- Memory and other components are struggling to keep pace
That is a healthier setup than one driven entirely by speculative expectations.
The AI trade is moving beyond Nvidia
Nvidia remains the center of the AI infrastructure market, but Dell’s results show why focusing on one stock can miss part of the opportunity.
AI systems require much more than GPUs. They need servers, memory, networking, cooling, power and enormous amounts of data-center capacity.
Dell’s 58% sales growth is evidence that spending is working its way further through that supply chain.
This could become increasingly important as enterprise AI adoption expands. Hyperscalers built the first wave. If corporations now begin modernizing their own infrastructure at scale, the next stage could support a wider group of hardware and infrastructure companies.
That doesn’t mean every stock with AI exposure deserves a premium. It means the spending cycle still has more breadth than the recent selloff suggested.
The bears still have one argument left
There is a legitimate concern underneath the skepticism.
At some point, the companies spending hundreds of billions of dollars on AI need to prove those investments generate adequate returns. If revenue and productivity fail to follow the infrastructure buildout, capital spending can slow quickly.
Nothing in Dell or Nvidia’s earnings eliminates that risk.
But it does push the timing further out.
The near-term evidence still points to more demand than available supply, not excess infrastructure looking for customers.
We are watching whether that holds through the next few quarters, particularly enterprise orders, Nvidia’s long-term growth rate and the supply constraints around memory.
For now, calling the AI buildout finished looks premature.
Dell and Nvidia just gave the market two very large reasons why.
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