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Confusion concept revenue sharing deals
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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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US stocks just suffered one of their most stunning reversals in 32 years

Only four times in the more than 32-year history of the SPDR S&P 500 ETF has the fund opened at least 1.5% higher only to end the session down 1.5% or more.

And one of those days was today, with early enthusiasm over Nvidia’s strong earnings report turning into a wave of selling as speculative assets, chief among them bitcoin, cratered and dragged everything down with them. The S&P 500’s winners in particular saw heavy selling. Among the 15 stocks in the index that are up at least 70% year to date, the average performance on Thursday was down 5.6%.

The other occasions where US stocks have suffered such a violent turnabout:

April 8 of this year (the bottom, year to date!), when the White House said tariffs on China were going up to above 100%, kneecapping a nascent bounce-back attempt after a 10% drubbing in the three days after the Rose Garden tariff announcements. President Donald Trump would go on to announce that he was slashing reciprocal tariffs for 90 days the following session.

And the other two such instances both occurred in October 2008 (on the 7th and the 9th), as the fallout from the unfolding financial crisis was spreading after the prior month’s collapse of Lehman Brothers and the VIX Index, Wall Street’s so-called “fear gauge,” was routinely above 50, making immense volatility par for the course.

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Insurance against Oracle default becomes favorite AI-bust hedge, Bloomberg reports

Volume in the market for credit default swaps — essentially a kind of insurance against a company defaulting on its debts — on Oracle is surging as the company has supercharged its borrowing to finance its AI ambitions, Bloomberg’s Caleb Mutua reports:

“The price to protect against the company defaulting on its debt for five years tripled in recent months to as high as about 1.11 percentage point a year on Wednesday, or around $111,000 for every $10 million of principal protected, according to ICE Data Services.

As AI skeptics rushed in, trading volume on the company’s CDS ballooned to about $5 billion over the seven weeks ended Nov. 14, according to Barclays Plc credit strategist Jigar Patel. That’s up from a little more than $200 million in the same period last year.”

“The price to protect against the company defaulting on its debt for five years tripled in recent months to as high as about 1.11 percentage point a year on Wednesday, or around $111,000 for every $10 million of principal protected, according to ICE Data Services.

As AI skeptics rushed in, trading volume on the company’s CDS ballooned to about $5 billion over the seven weeks ended Nov. 14, according to Barclays Plc credit strategist Jigar Patel. That’s up from a little more than $200 million in the same period last year.”

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Nvidia dunks on the doubters

CEO Jensen Huang and CFO Colette Kress dismantled most of the recent arguments and bear cases put forward by their naysayers.

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Cipher Mining surges on additional AI hosting deal

Bitcoin miner turned AI compute power provider Cipher Mining jumped early Thursday after announcing a deal that fully leases its Barber Lake data center in Colorado City, Texas.

The deal — which is also giving a lift to IREN, another miner turned compute provider — is an expansion of a previous agreement with Fluidstack, a UK-based provider of GPU-based cloud networks. The new deal amounts to roughly $830 million in additional revenue over 10 years, Cipher says.

The market clearly loves it. But it’s worth pointing out that this agreement is a pretty good example of the byzantine financial structures that are increasingly accompanying plans for many billions of dollars of spending on the AI boom.

For example, Cipher also announced Thursday that it would be borrowing $333 million to finance an expansion of that Barber Lake data center through a private placement of debt.

That offering will be secured, in part, by the warrants Google received to purchase Cipher common stock worth roughly 5.4% of the company. (Those warrants, by the way, look a lot more valuable today, with Cipher mining up double digits.) Google is also backstopping Fluidstack’s borrowing plans to finance its build-out to the tune of $1.4 billion.

For now, this makes financial sense. Alphabet — one of the most successful companies on the planet — needs the computing power to compete in the AI race. And the quickest way to get that capacity is to essentially cosign leases for the smaller companies taking the lead in that build-out, thereby lowering development costs and helping to bring projects into existence.

But in this deal alone, things get awfully complicated awfully quickly, as Alphabet is essentially the prime customer of, an important debt guarantor for, and potentially a significant owner in Cipher Mining, once it transfers the warrants into an ownership stake of more than 5%.

This isn’t, on its face, a terrible thing. There are precedents for circular funding relationships in industries like aerospace, as it developed from the 1920s to the 1950s.

But financial complexity does have a history of essentially hiding the level and locus of financial risks a system is building up, essentially during periods of heady optimism.

The market clearly loves it. But it’s worth pointing out that this agreement is a pretty good example of the byzantine financial structures that are increasingly accompanying plans for many billions of dollars of spending on the AI boom.

For example, Cipher also announced Thursday that it would be borrowing $333 million to finance an expansion of that Barber Lake data center through a private placement of debt.

That offering will be secured, in part, by the warrants Google received to purchase Cipher common stock worth roughly 5.4% of the company. (Those warrants, by the way, look a lot more valuable today, with Cipher mining up double digits.) Google is also backstopping Fluidstack’s borrowing plans to finance its build-out to the tune of $1.4 billion.

For now, this makes financial sense. Alphabet — one of the most successful companies on the planet — needs the computing power to compete in the AI race. And the quickest way to get that capacity is to essentially cosign leases for the smaller companies taking the lead in that build-out, thereby lowering development costs and helping to bring projects into existence.

But in this deal alone, things get awfully complicated awfully quickly, as Alphabet is essentially the prime customer of, an important debt guarantor for, and potentially a significant owner in Cipher Mining, once it transfers the warrants into an ownership stake of more than 5%.

This isn’t, on its face, a terrible thing. There are precedents for circular funding relationships in industries like aerospace, as it developed from the 1920s to the 1950s.

But financial complexity does have a history of essentially hiding the level and locus of financial risks a system is building up, essentially during periods of heady optimism.

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