What’s News in Earnings: How AI Agents Are Boosting Nvidia–and Opening the Door to Challengers

Summary

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WSJ What’s News: "How AI Agents Are Boosting Nvidia–and Opening the Door to Challengers"

Date: May 22, 2026
Host: Dan Gallagher (B)
Guest: Robbie Whelan, WSJ Tech Reporter (D)
Key Topic: Nvidia's explosive earnings, AI agent surge, and the intensifying competition in AI chips

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Episode Overview

This episode explores the implications of Nvidia’s latest earnings in the context of a rapidly evolving AI landscape. With the rise of "agentic AI"—AI agents performing productive, practical work—the demand for specialized chips is booming. While Nvidia maintains its status as the dominant force in AI chips, new competitors and in-house efforts from big tech companies are mounting a credible challenge to its margins and market share. The discussion delves into what this means for Nvidia’s future, its evolving product mix, and how major AI companies’ moves toward IPO could impact the entire chip ecosystem.

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Key Discussion Points & Insights

1. AI Agents Reshaping Chip Demand

• Agentic AI Arrives: The new phase of AI, known as agentic AI, is characterized by AI agents that can autonomously perform valuable work—ranging from routine scheduling to software development.
  • Quote [01:30 | Jensen Huang via Robbie Whelan]:

    "Agentic AI has arrived. AI can now do productive and valuable work. Tokens are now profitable. So model makers are in a race to produce more. In the AI era, compute capacity is revenue and profits. AI Nvidia is the platform this era."

• Impact: The era of just training giant models is evolving—practical deployment and monetization require different chip capabilities and greater affordability.

2. Nvidia's Earnings: Blockbuster Results, Tepid Stock Response

• Earnings Beat, Stock Underwhelms: Despite Nvidia exceeding Wall Street expectations with "blistering growth," its stock saw little movement due to the high bar set for the company.
  • Quote [01:56 | Robbie Whelan]:

    “It's very hard to budge Nvidia stock. What we've noticed... is that the beat, that is the margin by which Nvidia's results beat analyst expectations is almost taken for granted at this point. Takes a really big beat for Nvidia's stock to really see any kind of significant movement.”

• Crowded Market: The rapid proliferation of competitors means Nvidia’s historical dominance is being tested more than ever.

3. Margins & Competitive Threats

• The Margin Challenge:
  • Nvidia has enjoyed "Ferrari of computing" status with minimal competition, producing very high profit margins (70+% in gross profit).
  • Now, with companies clamoring to monetize AI and more players offering alternatives, these margins are under threat.
  • Quote [03:20 | Robbie Whelan]:

    "Now that we're in this new world... there are suddenly dozens and dozens of competitors who can provide solutions... I don't see how they can maintain their margins for forever."

  • Quote [02:55 | Dan Gallagher]:

    "There's an old saying that your margin is my opportunity. There's a lot of these competitors that are saying, oh, I could get some of that and undersell Nvidia. And that's also a risk for them."

4. Shift in Product Focus: From GPUs to CPUs

• Nvidia Spotlighting CPUs: The company now projects $20 billion in revenue from CPUs—cheaper, more basic chips that power the new breed of AI agents.
  • Quote [03:50 | Dan Gallagher]:

    "They actually gave an interesting number. They said they have visibility to 20 billion in revenue for CPU chips..."

  • Quote [04:11 | Robbie Whelan]:

    "These AI agents... require many more of these basic chips called the CPUs... They're a lot less expensive, they produce a lot less revenue. That's yet another shift underway right now that's very dramatic and very important for the future of AI companies and for chip companies."

• Industry Implication: As AI agents require more CPUs (rather than just GPUs), the competitive landscape broadens and revenue mix shifts.

5. Upcoming AI IPOs: A Boon for Nvidia

• Major Players Going Public: SpaceX, OpenAI, and Anthropic are all on the IPO path—each a major Nvidia customer.
  • Quote [05:46 | Robbie Whelan]:

    "What those three companies all have in common... is that they all buy chips from Nvidia... If those companies are going great guns, that's great news for Nvidia."

• Investor Takeaway: The health and growth of Nvidia’s client base reinforce its advantages in the near-term, even as challengers loom.

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Notable Quotes & Memorable Moments

• [01:30 | Jensen Huang via Robbie Whelan]:

  "Agentic AI has arrived. AI can now do productive and valuable work. Tokens are now profitable. So model makers are in a race to produce more. In the AI era, compute capacity is revenue and profits. AI Nvidia is the platform this era."

• [02:55 | Dan Gallagher]:

  "There's an old saying that your margin is my opportunity. There's a lot of these competitors that are saying, oh, I could get some of that and undersell Nvidia. And that's also a risk for them."

• [03:20 | Robbie Whelan]:

  "I don't see how they can maintain their margins for forever."

• [04:11 | Robbie Whelan]:

  "These AI agents... require many more of these basic chips called the CPUs... They're a lot less expensive, they produce a lot less revenue. That's yet another shift underway right now that's very dramatic and very important for the future of AI companies and for chip companies."

• [05:46 | Robbie Whelan]:

  "If those companies are going great guns, that's great news for Nvidia."

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Timestamps for Key Segments

• 00:22: Episode introduction and context; why chip companies are central to S&P 500 growth and how AI agents are driving demand
• 01:30: Jensen Huang’s comments on agentic AI and AI platform supremacy
• 01:49: Nvidia’s huge earnings results, stock reaction discussion
• 02:55: The challenge of maintaining profit margins amid rising competition
• 03:50: Nvidia’s CPU focus, the Vera chip, and broader implications for the industry
• 05:26: Discussion of upcoming IPOs—SpaceX, OpenAI, Anthropic—and their relevance for Nvidia’s future

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Takeaway

This episode offers a timely snapshot into the rapidly shifting AI ecosystem from the vantage point of Wall Street and Silicon Valley. While Nvidia’s position remains strong, fueled by explosive AI chip demand, new product requirements and competitive threats are reshaping the industry. The rise of agentic AI not only drives growth, but also diversifies how value will be captured and distributed among chipmakers in the next wave of technological innovation.

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Transcript

[A]

Hey, this is Alex from what's News. Thanks so much for being a listener of the show. If you're looking for more insights and tools to understand the latest headlines, consider becoming a subscriber to the Wall street journal. Visit subscribe.WSJ.com whatsnews to subscribe now.

[B]

Hey, listeners. It's Friday, May 22nd. I'm Dan Gallagher for the Wall Street Journal, and this is what's News and Earnings, a look at some of the biggest themes standing out in this earnings season. Chip companies make up about a fifth of the market cap of the S&P 500, and the industry's dominance is only growing. A rise in what's known as artificial intelligence agents is fueling even more demand for those chips. Nvidia is the largest player in AI chips by far, and its latest quarter showed blistering growth in sales and profits. And those results beat Wall Street's expectations. But other companies are now coming for a piece of Nvidia's business. That includes the newly public cerebras, whose hot IPOs set the stage for other AI debuts expected later this year. And it includes tech giants like Google and Amazon, who are now making their own AI chips and starting to consider how to sell those to other companies. Joining me to break down Nvidia's results and what they mean for the AI industry is tech reporter Robbie Whelan. So Robby Nvidia's numbers were predictably huge. CEO Jensen Huang said on the company's earnings call that demand has gone parabolic.

[C]

Agentic AI has arrived. AI can now do productive and valuable work. Tokens are now profitable. So model makers are in a race to produce more. In the AI era, compute capacity is revenue and profits. AI Nvidia is the platform this era.

[B]

But Nvidia stock fell afterwards. Robbie, why is that so predictable? And what was the biggest surprise in the report?

[D]

Yeah, we had another blowout quarter for Nvidia. And you would think that when we see results like that that the stock would really just go through the roof. But it's very hard to budge Nvidia stock. What we've noticed in the last couple quarters is that the beat, that is the margin by which Nvidia's results beat analyst expectations is almost taken for granted at this point. Takes a really big beat for Nvidia's stock to really see any kind of significant movement. The other thing is that the market is really rapidly changing for AI chips. We're no longer just training the ChatGPT type models that began the AI revolution a couple years ago. We're in this new phase where we're trying to monetize everything. And what that means is the companies that are developing AI tools need AI to be affordable. What you're seeing is a ton of new entrants into the market of AI chips. That's not necessarily a problem for Nvidia, but it does change the situation for them a little bit.

[B]

For the financial guy that I am, I also look at like Nvidia's huge profit margins that have gone up in this AI world. And there's this old saying that your margin is my opportunity. There's a lot of these competitors that are saying, oh, you know, I could get some of that and undersell Nvidia. And that's also a risk for them. Right. There seems to be a lot of concern among investors about can they maintain the margins that they've been maintaining, you know, like 70 plus percent gross profit margins.

[D]

Yeah, Dan, I've been thinking about margins a lot too. You know, with training in this old era that we were in, where Nvidia was the undisputed top dog and selling these, these really fancy GPUs, which really kind of like the Ferraris of computing, they could charge whatever they wanted. There was almost no competition. But now that we're in this new world where training is less emphasized and there are suddenly dozens and dozens of competitors who can provide solutions that are sufficient or that are comparable to what Nvidia has, I don't see how they can maintain their margins for forever.

[B]

I noticed on the call they actually gave an interesting number. They said they have visibility to 20 billion in revenue for CPU chips, which are different from the GPU chips that Nvidia is well known for. So they've been selling these CPUs now, and they say they're selling well, but clearly this is one of the areas where all the competitors are really targeting against them.

[D]

Yeah, I got a message from an investor who I know, and he said Vera stole the show in that call. And what he's talking about is a type of chip called the Vera. It's a cpu. And to back up for a minute, a CPU stands for central processing unit. It's the sort of most basic computer brain behind pretty much any computer in the world. But what Nvidia has historically specialized in is not a cpu. It's something called a gpu, a graphics processing unit. And that's what allows people to operate these gigantic models that are sort of the bedrock of all the AI technology we use today. But there's this funny thing that's happened, which is that there's a new type of AI called agentic AI, and that means designing these tools called agents that can go schedule your dry cleaning pickup for you, or be a sort of digital personal assistant for you, or even write software code while you're out taking a yoga class whatever whatever. These AI agents, they require many more of these basic chips called the CPUs. Nvidia does design some of these and sell them, but they're a lot cheaper than their complex GPUs. They're a lot less expensive, they produce a lot less revenue. That's yet another shift underway right now that's very dramatic and very important for the future of AI companies and for chip companies.

[B]

One very recent development, you know, SpaceX IPO filing is out, and we also have the news that OpenAI is racing to the same, and Anthropic is making this breakthrough about its profitability. So we've got these three big companies very closely tied to AI in this pipeline to go public. What does that tell us about Nvidia and their prospects?

[D]

Yeah, so what those three companies all have in common, besides the fact that they're all about to go public and raise a huge bundle of money, is that they all buy chips from Nvidia. So when we see this news about Anthropic racing to profitability a lot faster than anyone expected, OpenAI and SpaceX, all three of them really moving towards IPO. If those companies are going great guns, that's great news for Nvidia.

[B]

Robbie, thanks for being here today.

[D]

Thanks for having me on, Dan.

[B]

And that was what's News and Earnings. Today's show was produced by Alexis Moore with supervising producer T arbel. Additional sound courtesy of S and P Global Market Intelligence. Later today, we'll have the PM edition of what's News out for you as usual. I'm Dan Gallagher. Have a great day. Hey.

[A]

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[E]

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[A]

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