Markets
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Luke Kawa

Google jumps, Nvidia and AMD fall on report that the search giant is in talks to sell “billions of dollars” of its custom AI chips to Meta

Google is climbing in premarket trading while Nvidia and Advanced Micro Devices have dropped on the heels of a report from The Information that has the search giant muscling in on the chip designers’ turf.

Per the report, Meta is in discussions with Google to spend “billions of dollars” to use its AI chips in the social media company’s data centers starting in 2027, and to begin renting access to Google chips from its cloud business next year.

Historically, Google has rented access to these chips through its cloud business rather than supplied them directly to third parties. The report suggests that insiders believe a more direct foray could allow the company to grab a market share in chips amounting to about 10% of Nvidia’s annual revenue.

Google’s AI chips — TPUs, or tensor processing units — are having a moment. These semiconductors were used to train its latest GenAI model, Gemini 3, which has received rave reviews, and are cheaper to use than Nvidia’s offerings. That’s sent the stock to record highs, surpassing Microsoft in market value along the way.

According to The Information, Meta is even mulling using TPUs for training, considered a much more demanding task, rather than just inference alone.

Shares of Nvidia have slumped more than 4% as of 8:30 a.m. ET. AMD, which sell GPUs for use in data centers, is down more than 5% by the same point. Google has moved 4% in the other direction, while Broadcom, the custom chip specialist that partnered with Google to design these TPUs, is also up about the same amount.

During Nvidia’s conference call last week, CEO Jensen Huang was asked about the competitive threat posed by custom chips. He responded by talking up the difficulty of inference (“How could thinking be easy?”). That’s a not-too-subtle nod to the idea that his company’s GPUs will be the more effective solution compared to more cost-effective options. He also touted the company’s CUDA software as a selling point because it’s more commonly used, therefore making it easier for buyers to go on and sell AI computing capacity.

Google has aimed to make its JAX software easier for developers over time by making its TPUs operable via open-source software tied to PyTorch (invented by Meta), overhauling how errors are reported and introducing an extension that makes it easier to write custom code, among others.

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Tasha Matsumoto
3h
Stocks close week with new records powered by tech gains and ceasefire optimism

The S&P 500 gained for the ninth straight week, its longest winning run since 2023.

Michael Jordan #23, Shooting Guard and Small Forward for the Chicago Bulls wearing a warm up jacket looks on during player introductions before the NBA Midwest Division basketball game against the Denver Nuggets
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Luke Kawa

BlackBerry is on one of its hottest rallies of all time

History suggests that BlackBerry does extremely well when 1) it’s considered to be pioneering a transformative technology, or 2) there’s widespread retail enthusiasm for stocks.

If you squint (or dream), you could argue that both are going on right now.

Shares of the once-upon-a-time smartphone giant are up more than 160% over the past three months. The only times the shares have had a hotter run of form than this are at the tail end of the dot-com bubble, and in early 2021 when was it part of the meme stock craze headlined by GameStop.

Let’s start with the easy part first — here’s Scott Rubner, head of equity and equity derivatives strategy at Citadel, on retail’s significant footprint in the shares’ rally:

“Retail traders are the new price setters in the market. May volumes across our retail cash equities and options platforms are currently tracking at record levels. Daily volumes on our cash platform are setting new highs and are on pace to finish nearly ~10% above the previous record established during the January 2021 meme-stock era.”

And then there’s the harder part, part of the story that the traders bidding up BlackBerry now are dreaming about: the QNX division, which offers software that the company is positioning as an operating system for robots.

QNX’s software has early uptake in the field of autonomous driving, with BlackBerry eyeing a much more widespread role: in April, it announced a partnership to deploy this technology on Nvidia’s robotics platform. Nvidia’s Jensen Huang, for his part, has long been calling for agentic AI adoption to be followed by physical AI (i.e., robots).

In a QNX press release unveiling a report this week, the company argued that software, not hardware, is the real problem in terms of making sure robotics works.

I supposed it would be poetic, in a way, if the company at the leading edge of the smartphone revolution also plays a big role in the proliferation of robotics.

markets
Luke Kawa

Micron and Sandisk rally on new Street-high price targets from Susquehanna

Micron and Sandisk both hit fresh all-time highs in early trading after Susquehanna bestowed new Wall Street-high price targets on the two memory stocks.

Analyst Mehdi Hosseini upped his view on the former to $1,750 from $600, and to $3,250 from $2,000 for the latter.

“Supply is now expected to remain tight through 2027, sustaining elevated margins and thus warranting valuation re-rating,” he wrote, per Bloomberg.

It’s the fifth time in the past year that the average price target on Micron has gone up by more than 10% in a week. UBS’s Tim Arcuri more than tripled his price target on Micron earlier this week, and has already lost the title of “most bullish.”

But even as analysts are tripping over themselves to raise their price targets on these stocks, the ferocity of the rally in Micron has outpaced their best efforts.

The high-bandwidth memory specialist traded at a record premium to the consensus Wall Street price target this week, based on data going back to 2008.

markets
Helena Cheng

Okta soars on Q1 earnings beat, raised outlook driven by AI security demand

Okta shares are surging in early trading Friday after the identity security provider posted Q1 fiscal 2027 financial results that exceeded Wall Street estimates. The strong results are fueled by accelerating corporate demand for cybersecurity software, as well as the deployment of autonomous AI systems.

Key numbers:

  • Adjusted earnings per share of $0.91 compared to analysts’ estimate of $0.85.

  • Revenue of $765 million compared to an estimate of $752.7 million.

The company generated subscription revenue of $750 million, up 11% year over year. Okta also has $271 million in free cash flow, up from $238 million in the prior year’s quarter.

While standard cybersecurity software protects human workers, the latest catalyst sparking Okta’s strong corporate performance is the rapid emergence of autonomous AI agents that can access sensitive corporate databases and interact with privileged executive accounts.

“AI agents are rapidly becoming a new workforce inside every organization, creating a wave of identities that must be secured and governed alongside human users,” said Todd McKinnon, CEO and cofounder of Okta. “We’re expanding our opportunity as the world’s leading independent and neutral identity provider and helping customers make identity the unified control plane for their secure agentic enterprise.”

Okta raised its fiscal 2027 revenue guidance to between $3.185 billion and $3.205 billion, roughly in line with estimates of $3.18 billion. The company formally dropped its long-term projected non-GAAP tax rate from 26% down to 21%. This adjustment is a direct byproduct of the federal corporate tax frameworks under the One Big Beautiful Bill Act.

Shares of Okta have risen around 9% since the beginning of this year.

markets
Helena Cheng

HPE, SMCI surge after Dell’s Q1 beat on strong AI server demand

HP Enterprise and Super Micro Computer shares are surging in premarket trading, getting a big boost from rival Dell’s strong Q1 results.

Dell’s $16.1 billion in AI-optimized server sales for the quarter alone proved that enterprise data center demand is accelerating faster than Wall Street had anticipated. The company posted revenue of $43.8 billion, exceeding Street estimates of $35.5 billion. Management now sees full-year sales of about $167 billion, well above the $142 billion expected by analysts.

The read-through is particularly relevant for Super Micro, one of the largest suppliers of Nvidia-powered AI server systems, and HPE, which has been expanding its AI infrastructure and liquid-cooling offerings through its partnership with Nvidia.

The moves suggest investors view AI infrastructure as a broad spending cycle that benefits server makers across the entire ecosystem.

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