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Jensen Huang in front of Vera Rubin at CES 2026
(Nvidia)

Why Nvidia’s terrific quarter is getting a terrible reaction

Nvidia’s CEO gave a deeply unsatisfying answer about his biggest customers’ ability to generate cash. But they might be investing more in AI GPUs in 2027 anyway.

Terrific quarter, terrible reaction.

That’s Wall Street’s read on another Nvidia earnings report that beat expectations and offered very optimistic sales guidance for the current quarter.

Shares were up as much as 4% after the release of its Q4 financials and Q1 outlook, but lost nearly all of that advance during the conference call. The stock is down 3% as of 10 a.m. ET.

“We aren’t sure what else investors want to hear at this point,” said Bernstein analyst Stacy Rasgon. “But we like what we heard.”

Management indicated high visibility into demand for not just this year, but 2027 as well — and they’re so confident in it that they’re already locking down the supply to be able to meet it. However, there still seems to be lingering doubt about the willingness of Nvidia’s biggest customers to enhance their multiyear capex binges, given the performance of their share prices and the pressure on their cash flow generation.

While it’s tough to ascribe strong causality, downward momentum on Nvidia shares during the conference call started as CFO Colette Kress talked about challenges accessing the Chinese market as well as rising competition from the AI players there, and then as CEO Jensen Huang responded to the first question from analysts.

BofA’s Vivek Arya asked Huang if he was confident in hyperscalers’ ability to grow capex going forward given how much their cash flows have come under pressure.

Huang said he was confident that hyperscalers’ cash flows would improve, and suggested that without more compute, these megacap tech giants would see their top lines stagnate.

“Without compute, there’s no way to generate tokens. Without tokens, there’s no way to grow revenues,” he said. “So in this new world of AI, compute equals revenues.”

But the thing about the cash flows...

They’re expected to grow for most publicly traded hyperscalers this year. And to be better in 2027 versus 2026. But the expectations for cash flow generation have been universally revised to the downside since the AI boom started.

Cumulative free cash flows for hyperscalers have been expected to be “better next year” at every point in time in the AI boom. And they never have.

It doesn’t take a rocket scientist or AGI to tell you that this probably has something to do with how much capex keeps going up, and surprising to the upside.

“The stock response suggests investors were left wanting more, which we think is tied to continued uncertainty around the growth trajectory for NVDA’s Data Center business in calendar year 27, given massively expanded capex budgets for key customers (aggregate capex for the top 5 US hyperscalers is now forecast to grow ~70% Y/Y to $650B+ in CY26) alongside significantly compressed free cash flow profiles,” JPMorgan analyst Harlan Sur wrote.

Meanwhile, Morgan Stanley analyst Joseph Moore noted that Huang’s answer appearing to be deeply unsatisfying (my words, not his!) may simply be immaterial to the company’s 2027 sales outlook.

“Nvidia believes that these cash issues will be resolved by the cash flows of AI factories being much better than expected — but that in turn requires token monetization that is also better than expected,” he wrote. “While we would stop short of believing the most bullish five year views, we do continue to think that there is no visibility to any pause in the current levels of strong demand.”

A more realistic answer from Huang might have gone something like: “I’m not sure what their free cash flows are going to, but they’re hell-bent on spending more. Look at the agreement we just reached with Meta!”

As such, we have a mediocre reaction to an objectively stellar set of numbers from a company that is not trading at an absurd valuation.

That tells us something important:

It’s a reminder that while Big Tech execs’ imagination over what this potentially transformative technology can be is boundless, the willingness of investors to buy into and fund that vision is not.

Capital markets will be the constraint on capital investment.

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Vistra beats Q4 earnings expectations for adjusted EBITDA, but dips on income decline

Power provider Vistra, a key player in the AI energy trade, reported better-than-expected adjusted earnings results early Thursday, but shares dipped in early trading as Q4 net income dropped.

The Texas-based company, which supplies nuclear- and natural gas-fueled power to wholesale and retail markets, reported:

  • Net income of $233 million, a decline of 52% from Q4 2024.

  • Adjusted EBITDA from ongoing operations of $1.74 billion vs. the $1.71 billion expected by Wall Street analysts.

  • Vistra maintained previously issued guidance for full-year EBITDA from ongoing operations and adjusted free cash flow from ongoing operations.

Vistra shares soared 258% in 2024 amid a flurry of excitement over the AI energy boom. Last year was more muted, with the stock rising 17%. So far in 2026, shares were up roughly 9% before the report.

  • Net income of $233 million, a decline of 52% from Q4 2024.

  • Adjusted EBITDA from ongoing operations of $1.74 billion vs. the $1.71 billion expected by Wall Street analysts.

  • Vistra maintained previously issued guidance for full-year EBITDA from ongoing operations and adjusted free cash flow from ongoing operations.

Vistra shares soared 258% in 2024 amid a flurry of excitement over the AI energy boom. Last year was more muted, with the stock rising 17%. So far in 2026, shares were up roughly 9% before the report.

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Sandisk rises on partnership with SK Hynix to standardize memory chip architecture tailored for AI data centers

Sandisk is up 3% in premarket trading on Thursday after it began its global standardization strategy of high-bandwidth flash (HBF) memory solutions with SK Hynix.

SK Hynix commented in a press release on Thursday that by making HBF an industry standard, together with Sandisk, we will lay the foundation for the entire AI ecosystem to grow together,” adding that the companies will set up a dedicated workstream to work on the standardization under the Open Compute Project, the world’s largest organization dealing with data center technologies.

First debuted last February, Sandisk’s HBF technology lies in between ultrafast high-bandwidth memory (HBM) and high-capacity SSDs. That is, these have more storage capacity than HBMs, but are still fast enough to be utilized in AI inferencing (albeit not as quick as HBM).

Sandisk has previously argued that this hybrid architecture is central to AI services that need user applications but require a significant amount of fast interconnect between GPUs. The latest announcement also notes that HBF technology is expected to be more cost-efficient compared to alternatives of similar scale.

The launch, which was shared in an kickoff event on Thursday evening, starts SK Hynix and Sandisk’s workflow, which was announced when the two companies signed a memorandum of understanding “to standardize the specification, define technology requirements and explore the creation of a technology ecosystem” last August, per Sandisk’s press release at the time. Ultimately, by collaborating with SK Hynix, one of the three key HBM suppliers, to standardize and commercialize the technology, Sandisk is manufacturing somewhat of a first-mover advantage to offer the system-level “AI-optimized memory architecture” required for AI inference markets, rather than focusing on the performance of a single chip element.

markets

Warner Bros. reports deeper-than-expected Q4 loss amid its bidding war

Warner Bros. Discovery reported its fourth-quarter earnings before the market opened on Thursday. The results come as the company finds itself in the middle of a still-hot bidding war between Netflix and Paramount. Its shares were flat in premarket trading.

In the three months ended in December, WBD reported:

  • A loss of $0.10 per share, deeper than the $0.03 loss expected by analysts polled by FactSet.

  • Total revenue of $9.46 billion, ahead of the $9.35 billion consensus.

Warner Bros.’ cable business booked $4.2 billion in revenue, beating estimates of $4.04 billion but down 12% from last year. The division is a key difference between the Netflix and Paramount acquisition offers: Netflix is seeking to acquire everything except Warner’s cable networks, while Paramount is seeking to purchase WBD in its entirety.

Industry analysts mostly view WBD’s cable networks as being worth between $2 and $4 per share, and Paramount’s most recent bid is $3.25 per share more than Netflix’s. Paramount has said its own analysis values Warner’s cable division at $0 per share.

WBD said it would not answer any questions about the two proposals on Thursday’s earnings call, but noted the following about Paramount’s recent offer:

“There can be no assurance that the Board will conclude that the transaction proposed by PSKY is superior to the merger with Netflix or that any definitive agreement or transaction will result from Warner Bros. Discovery’s discussions with PSKY.”

markets

Zoom slumps on weaker-than-expected profit outlook, reports mixed Q4 earnings

Zoom fell 4% in premarket trading on Thursday after offering a profit outlook that came in lower than analysts had expected as part of its FY26 Q4 earnings results.

For the fiscal year ending in January 2027, the video conferencing platform expects:

  • Adjusted earnings per share between $5.77 and $5.81, missing analysts’ average projection of $6.06 a share, per Bloomberg data.

  • Revenue between $5.065 billion and $5.075 billion.

The weak bottom-line forecast came after lackluster adjusted profit results for Q4, which came in at $1.44 per share, compared with Wall Street estimates of $1.49. Revenue increased 5% year on year to $1.25 billion, just ahead of average analyst expectations.

The company maintained an optimistic tone on its mixed FY26 results, with CEO Eric S. Yuan saying on the earnings call, “In the age of AI, Zoom becomes more essential. We are building the system of action that turns conversations into coordinated execution across work inside the organization and with the world outside, including customer engagement, sales, recruiting, and more.”

Indeed, Zoom has been doubling down on its office collaboration tools recently as it continues to turn toward serving enterprises after the pandemic boom, including launching a corporate phone system and a customer service platform, both of which can sometimes be heavily dependent on expensive AI models.

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