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Deutsche Bank highlights four roadblocks for tech CEOs’ obsession: Data centers in space

The good news: “There are clearly technical challenges to making this a viable endeavor but these seem to be engineering constraints as opposed to physics,” per Deutsche Bank.

Luke Kawa

Data centers. In space.

It’s the hottest topic among CEOs with skin in the data center or rocket-launching business, with Tesla (and SpaceX) CEO Elon Musk and Jeff Bezos, former Amazon CEO and founder of Blue Origin, purportedly engaged in this race to make one small step for man and a giant leap for AI-kind. OpenAI CEO Sam Altman reportedly wants in, too.

Google CEO Sundar Pichai thinks it’s a matter of when, not if, recently telling Fox News, “There is no doubt to me that, a decade or so away, we will be viewing it as a more normal way to build data centers.”

Earth may be an extremely hospitable environment to live for those of us who spent millions of years evolving to do so, but that’s less true for AI data centers.

Tyler Norris, Google’s head of market innovation on the advanced energy team, summarized the problem as such:

In other words, the institutional and political difficulties associated with getting data centers on Earth built and connected to the grid are seemingly more difficult than the engineering challenges associated with having these projects operating in outer space.

But Deutsche Bank analysts led by Edison Yu flagged four obstacles that would need to be tackled for this to move from sci-fi to the nonfiction section.

  • Rocket launches cost too much. Yu cited estimates from Google indicating that launch costs would need to be below $200 per kilogram (or about $441 per pound, for heathens) to be viable, and currently pins costs at about $1,500 per kilogram. It doesn’t take a rocket scientist to tell you that means costs need to go down by about 87%, though it will likely take a legion of rocket scientists to figure out how to make that happen. This “requires SpaceX Starship to be operational and launching on a regular cadence,” he writes.

  • Space is cold but bad at cooling. “To properly cool a large AI cluster, a data center satellite would require massive passive radiator panels,” per Yu. “Therefore, we think some type of breakthrough is required in the radiator design to make the data center truly viable.”

Just because it's being passed around a lot: NO, data centers in space do NOT benefit from space being cold. Space is cold in the formal sense we use to define temperature. But it is very bad at cooling. What would you rather have to cool hot metal: a lukewarm water tub or a giant cold atmosphere?

— Zach Weinersmith (@zachweinersmith.bsky.social) December 10, 2025 at 10:24 AM
  • Space makes Burry more right about depreciation. Remember Michael Burry’s argument that companies were understating GPU depreciation costs? Well, this critique about chips having a shorter useful lifespan becomes a lot more salient in space (especially for high-bandwidth memory chips, per a white paper from Google). “Radiation can cause faster degradation of chips. Cosmic rays and high-energy protons constantly bombard the satellite,” Yu wrote. “There are some simple solutions for this such as wrapping the servers in heavy lead or aluminum. However, this would naturally add mass to the satellite.”

  • Fixing stuff in space is hard. Hell, fixing stuff on Earth is hard enough! It took me seven weeks to get my landlord to get a technician to repair my air-conditioning unit this year. Yu believes “the cost of building [an orbital transfer vehicle] capable of carrying advanced maneuvers is too expensive,” so satellites would need better hardware to increase the likelihood that nothing goes wrong, and that would drive up the cost of production.

Now, tech CEOs don’t just wax eloquent about stuff that’s straight out of science fiction for the mystique (though that’s probably a part of it). Pursuits that seem so futuristic that they border on the absurd on first hearing are massive potential moneymaking opportunities. (If there’s a flying autonomous car available in my lifetime, shut up and take my money!)

The good news? This flight beyond Earth’s atmosphere is not a flight of fancy, according to Deutsche Bank.

“There are clearly technical challenges to making this a viable endeavor but these seem to be engineering constraints as opposed to physics,” Yu wrote.

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The slow burn in software stocks is erupting into an all-out bonfire

Good results? Doesn’t matter. Good guidance? Doesn’t matter. Spending a ton to augment your business with AI? You’d better believe it doesn’t matter.

This earnings season, investors have decided that AI is enough of a long-term threat to the earnings power of software companies that the past three months or the next 12 are, at best, the calm before the storm. And heaven help management teams that didn’t offer strong results or a positive outlook.

The slow burn in software stocks has erupted into an all-out bonfire on Thursday, fueled by traders finding any excuse to sell Microsoft and ServiceNow after both reported robust quarterly results. The follow-through is weighing on the likes of Atlassian, Workday, Salesforce, Datadog, and Intuit. Put it all together and iShares Expanded Tech Software ETF is poised for its worst day since the Friday following the Rose Garden reciprocal tariff announcements in April 2025.

Here’s how an assortment of software companies have done on the session after reporting earnings:

Are there babies being thrown out with the bathwater here? Maybe. Probably, even!

But it likely won’t inspire too much confidence to learn that the last time the S&P 500 Software & Services industry group was down at least 20% over a 63-session stretch while the SPDR S&P 500 ETF was positive happened to be June 12, 2000.

markets

Joby plunges after announcing plans to raise $1 billion in convertible bonds and stock

Shares of air taxi maker Joby Aviation are down more than 14% in premarket trading after the company announced a $1 billion capital raise after the bell Wednesday.

Joby, which in December said it would invest in equipment, facilities, and employees to double its aircraft production output by 2027, is offering convertible senior notes due 2032.

According to reporting by Bloomberg, the notes are being offered with an up to 30% conversion premium. Bloomberg reports that the company is pricing its share offering between $11.35 and $11.75, representing up to a 15% discount on the stock as of Wednesday’s close.

Joby ended its third quarter with $978.1 million in cash and cash equivalents, down slightly from its second quarter. Its shares have risen 62% over the past 12 months, compared to a more than 14% loss for its rival Archer Aviation in the same stretch.

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Why Meta is ripping higher after earnings while Microsoft craters

Two hyperscalers. Two top- and bottom-line beats. Two different reactions.

When both companies issue capex guidance that’s higher than expected and one goes up and the other goes down, it’s difficult for me to argue that the capex outlook is the key driver of either market reaction.

So here’s a smattering of potential reasons for the divergent paths of Meta and Microsoft since releasing quarterly earnings reports after the close on Wednesday, which has seen the former rally while the latter gets crushed:

  • Microsoft cloud growth is slowing; Meta’s top line is poised to accelerate.

    • Azure revenues were up 38% year on year in constant currency terms, a modest sequential slowdown since Q2 2025, and management’s guidance for growth of 37% to 38% in the current quarter implies this trend is likely to continue.

    • The midpoint of Meta’s guidance for revenues between $53.5 billion and $56.5 billion this quarter would mark an acceleration to sales growth of 30% year on year. Since the AI boom started, its high-water mark for sales growth has been 27%.

  • Customer quality and concentration matters:

    • While Microsoft enjoyed solid ex-OpenAI growth in its remaining performance obligations, that one customer is still responsible for 45% of commercial RPO. Look at Oracle to get a glimpse of what investors think about firms whose AI build-outs use OpenAI demand as scaffolding.

    • Meta’s lack of a cloud business has been an oft-cited negative about the aggressiveness of its build-out. The company arguably has to work harder than other hyperscalers to turn that spending into sales growth. And... that’s happening.

  • Initial conditions matter:

    • There was probably a little more embedded pessimism on Meta than Microsoft heading into these reports. As of Wednesday’s close, it was the only member of the Magnificent 7 to trade lower over the past 12 months.

Cheers to Duncan Weldon, VKMacro, and George Pearkes, whose back-and-forth on Bluesky inspired this post.

markets

Microsoft just delivered a big blow to Michael Burry’s AI bear case

Microsoft’s chief financial officer, Amy Hood, just offered some intel that severely undercuts Michael Burry’s argument against AI stocks, albeit with one big caveat.

If you’ll recall, the hedge fund manager turned Substacker of “The Big Short” fame said that tech companies were understating depreciation charges — that is, how fast GPUs lose their value over time, in a bid to artificially juice profits.

During Microsoft’s conference call on Wednesday, the CFO was asked how the company will be able to capture enough revenue over the six-year useful life of the hardware to justify the outlays. Her response:

“The way to think about that is the majority of the capital that were spending today and a lot of the GPUs that were buying are already contracted for most of their useful life,” she said. “And so a way to think about that is much of that risk that I think youre pointing to isnt there because theyre already sold for the entirety of their useful life.”

The implication here is that not only will these chips make money for as long as tech companies expect they will, but that their useful economic life might actually be longer than that, not shorter.

This tidbit is obviously positive for the hyperscalers, which are spending hundreds of billions on these GPUs. But it’s probably even more of a relief to neoclouds that are even more dependent on these chips being able to generate cash. That’s (mostly) all there is to their businesses, unlike megacap tech giants.

It also corroborates commentary from one such neocloud, CoreWeave, on how well these processors retain value.

“For example, in Q3, we saw our first 10,000-plus H100 contract approaching expiration,” CoreWeave CEO Michael Intrator said after the firm’s most recent earnings report. “Two quarters in advance, the customer proactively recontracted for the infrastructure at a price within 5% of the original agreement.”

And per Silicon Data, H100 rental rates have firmed significantly since the end of November.

However, I’d be remiss not to point out a potential fly in the ointment here: one reason that Microsoft’s GPUs are contracted for most of their useful life is thanks to demand from OpenAI, which accounts for 45% of its commercial remaining performance obligations.

And, if Oracle’s shown us anything, it’s that customer concentration and quality matters.

markets

Nvidia, Microsoft, and Amazon reportedly in talks to invest up to $60 billion in OpenAI

OpenAI is bringing in more revenue than ever, but with ambitions to spend north of $1 trillion on its AI infrastructure build-out — cash that it simply does not have to hand — it’s maybe no surprise that the company is almost constantly in fundraising mode.

And its latest discussions could see the company raise as much as $60 billion from three of its biggest suppliers, with The Information reporting that Nvidia, Microsoft, and Amazon may anchor a larger round that could see the ChatGPT maker raise as much as $100 billion.

Per The Information’s sources, existing investor Nvidia is in discussions to invest up to $30 billion, new investor Amazon is considering $10 billion to more than $20 billion, while Microsoft, which is also already heavily invested with a 27% stake, is looking at less than $10 billion.

Separately, reporting from the Financial Times confirms some of the same broader details, like that the three tech companies are indeed close to participating in a larger ~$100 billion round. However, the sources cited by the FT put the combined total investment from the trio of tech titans closer to $40 billion.

While OpenAI is close to receiving term sheets, or an investment commitment, from these companies, according to The Information, their investments could depend on other deals that they are already negotiating with OpenAI separately, including its cloud server rental deal with Amazon.

Earlier this week, reports emerged that SoftBank might plow a further $30 billion into OpenAI as well — presumably as part of this larger round.

And its latest discussions could see the company raise as much as $60 billion from three of its biggest suppliers, with The Information reporting that Nvidia, Microsoft, and Amazon may anchor a larger round that could see the ChatGPT maker raise as much as $100 billion.

Per The Information’s sources, existing investor Nvidia is in discussions to invest up to $30 billion, new investor Amazon is considering $10 billion to more than $20 billion, while Microsoft, which is also already heavily invested with a 27% stake, is looking at less than $10 billion.

Separately, reporting from the Financial Times confirms some of the same broader details, like that the three tech companies are indeed close to participating in a larger ~$100 billion round. However, the sources cited by the FT put the combined total investment from the trio of tech titans closer to $40 billion.

While OpenAI is close to receiving term sheets, or an investment commitment, from these companies, according to The Information, their investments could depend on other deals that they are already negotiating with OpenAI separately, including its cloud server rental deal with Amazon.

Earlier this week, reports emerged that SoftBank might plow a further $30 billion into OpenAI as well — presumably as part of this larger round.

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