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It’s getting pretty tough keeping all these AI deals straight

Where is all this money supposed to come from? And who gets to keep it?

The role of “customer” and “investor” are usually pretty distinct: customers buy products. Investors provide money companies need to make products.

But it’s not always this clear, especially if you happen to be one of the big AI companies.

Just look at this morning’s megadeal between Advanced Micro Devices and OpenAI, in which AMD agreed to provide multiple generations of its Instinct processors to OpenAI — the fast-growing, but cash-incinerating, maker of ChatGPT.

Traditionally, when a company agrees to “provide” something, the entity that gets that something provides something in return, typically money.

However, in this deal, the putative buyer of the chips, OpenAI, seems to be the one getting compensated. AMD will issue warrants for up to 160 million shares of its stock — structured as it reaches certain milestones — and fork them over to Sam Altman’s firm. In theory, that would be enough for OpenAI to end up with a 10% stake in AMD. So in this case, is the customer is also becoming an investor?

Wait, it gets more confusing, because The Wall Street Journal reports an unattributed fact of some importance: that OpenAI “will buy the chips either directly or through its cloud computing partners.” In other words, OpenAI might not be the one buying these AMD chips.

This makes sense. OpenAI does not actually currently have a business that could be expected to generate tens of billions of dollars to buy AMD chips over the next few years, which AMD executives said this deal was supposed to do.

(OpenAI’s revenue, according to a report in The Information, is on track to be just $12 billion this year. The company is also making large losses that put it on track to burn through $115 billion through 2029.)

So does that mean Oracle, which has likewise signed an enormous deal with OpenAI to provide it with data center infrastructure, will actually be the one buying the chips? If so, will OpenAI still get the warrants if it isn’t the corporation writing the check?

And doesn’t it matter to anyone that AMD has potentially just given away 10% of the company? The warrants for OpenAI are priced at $0.01 a share. That ownership stake itself was worth “tens of billions” before the deal was announced — roughly $27 billion.

Apparently it does not!

The market loves this deal like a Labrador retriever loves a fresh new tennis ball. Advanced Micro Devices shares soared by more than 25%, the most since early 2016, creating $75 billion in market value.

But while the deal seems to make sense to the market, there is growing discomfort among Wall Street analysts about the recent spate of deals that companies have signed with OpenAI, even if they’ve generated sometimes massive market gains.

It was essentially an announced deal between OpenAI and Oracle, in which OpenAI agreed to buy some $300 billion in computing power from Oracle — OpenAI does not have this $300 billion — in the coming years, that lit the fuse on Oracle’s 36% price surge on September 10.

That surge created more than $250 billion worth of stock market wealth in a single day.

“We need to start being cautious about the promises OpenAI is making all over the place without being able to really have the capital to fulfill those promises,” tech analyst Gil Lauria, of brokerage firm DA Davidson, said last week during a discussion on the “Prof G Markets” podcast.

And on Monday, analysts at Goldman Sachs issued a note on Nvidia saying that its deal to invest some $100 billion into OpenAI, along with other deals, “have sparked investor debate around the nature of the deals and the extent to which Nvidia’s equity investments could be recycled by investees as GPU spending, recognized by Nvidia as circular’ revenue.” They wrote:

“When equity investment comes from a supplier, we believe additional scrutiny is warranted given the ‘circular’ nature of the revenue because of the investor’s dual role as investor and supplier.”

Elsewhere, RBC software analyst Rishi Jaluria recently wrote an interesting note spotlighting “the growing interconnectivity and potential ‘round tripping’ of revenue” with Oracle, Nvidia, and OpenAI.

I’ve obviously got a lot of questions about those sorts of deals,” Jaluria said in a phone interview. “The commentary people make is, you know, Oracle is buying business and this is all just circular, and it’s actually doing nothing valuable.”

But he argues that these deals, if they do succeed in supercharging the AI industry by enabling bigger, faster build-outs of data center infrastructure, may actually create significant value.

“If it purely is money going from, you know, Nvidia to OpenAI to Oracle back to Nvidia and nothing else, then 100%, that would be pure round-tripping of revenue and a closed loop system,” he said.

“However, if we actually start to get a result out of this, and OpenAI is able to develop better models faster,” he continued, “that’s where this benefits the broader global economy, even if it’s happening in this smaller sort of loop.”

The reason folks on Wall Street are so concerned about such loops is because they have played roles in a few market disasters in the past, from the collapse of the US energy trading market in late 1990s to the implosion of AOL Time Warner a few years later. And the practice tends to emerge in superheated markets where market prices become heavily dependent on maintaining superfast rates of revenue growth rather than profitability, a familiar environment for those following the AI industry.

Seasoned market observers seem to remember. On Monday, hedge fund manager Paul Tudor Jones told CNBC, “The circularity makes me nervous,” when asked about the dynamics of the AI data center build-out.

Other investors remain concerned as well. Jaluria says he tells those who’ve called that he has sometimes raised his eyebrows on the structure of these deals.

“I’m like, look, I get it. I get the criticisms. And that was probably my first instinct as well,” Jaluria said. “There might be some merit to that.”

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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

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

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 years quarter.

While standard cybersecurity software protects human workers, the latest catalyst sparking Oktas 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

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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