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The three hard-tech moonshots fueling SpaceX’s unbelievable IPO

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SpaceX is coming to market on Friday, and investors can barely contain their excitement. The $75 billion stock offering is reportedly deeply over-subscribed, with some institutional investors ponying up for $10 billion blocks of Elon Musk’s empire.

There are lots of reasons to be skeptical of the investment — big IPOs tend to sink, the company is losing money, and Musk’s erratic online behavior would be terrifying coming from any other tech CEO — but it doesn’t seem to be slowing anyone down. Tech investors have learned to never bet against Elon, whatever the business logic indicates.

But a dispassionate look at SpaceX’s financial plans can still tell us a lot about what they’re betting on: A business centered around orbital data centers that emerged in the last eighteen months as Musk sought a vision that would unite his conglomerate ahead of its IPO.

In true Musk style, it’s a bold scheme, and one that requires at least three near-impossible feats of engineering: a reusable rocket, a brand-new American chip foundry, and a sprint to build satellites faster than ever before.

That kind of business plan can be difficult to score. This week, two analyses tried to offer a more a sober assessment of SpaceX’s plan — one from Morningstar, the financial research firm, and another from Aswath Damodaran, a New York University finance professor who takes a special interest in corporate valuation. Both exercises find SpaceX significantly less valuable than the nearly $1.8 trillion assessment proffered by the company’s bankers. Morningstar assigns a value of about $825 billion, while Damodaran suggests the company is worth $1.2 trillion.

The significant difference is, in many ways, the result of bolting a world-beating space monopoly to a far riskier AI business. Morningstar’s analyst characterizes the difference between their assessment of a fair value of $63 a share, and SpaceX’s offering price of $135, as a $72 call option on the company’s ability to deliver orbital data centers at the rate and capability that Musk believes is possible.

In both analyses, the high-margins of the company’s space launch business and its satellite internet network are the most attractive things about the company, while its AI business is the most uncertain.

To cloud or not to cloud?

Part of the question is, what is SpaceX’s AI business? In the company’s S-1 market analysis, it frames its largest opportunity in enterprise AI — that its models will power coding tools built by the team it acqui-hired from Cursor, or the company’s Macrohard project, which is intended to equip digital agents with the capabilities to perform white-collar labor. SpaceX assessed the total market for that business as $22.7 trillion, compared to $2.4 trillion for AI infrastructure and just under $2 trillion for the company’s space efforts.

But that contradicts the company’s recent deals to sell significant amounts of compute to Anthropic and Google, ostensible competitors in the model business. That’s not out of place for a Musk company; SpaceX frequently launches satellites operated by competitors to its Starlink network. It just usually does that from a place of strength, not while playing catch-up.

Acting like a neocloud might be good near-term business, but it raises the question of where value will accrue in the AI tech stack: Is it better to be a compute provider or a model-builder, if you can’t be both?

The scaling logic that dominates the AI business demands that serious frontier labs constantly train new and more powerful models (or, as Musk admitted in his recent lawsuit against Sam Altman, by distilling capabilities from other companies models). Any competitor not rushing ahead is likely to fall behind, although the rising abilities of cheaper open-source models might undermine that dynamic.

Space data centers are one way to square the circle, providing so much compute that SpaceX could effectively do both.

Musk’s space data center architecture

In a video interview released by SpaceX this week, Musk laid out the logic for why SpaceX is best positioned to deliver on data centers. The core of the argument was that SpaceX is the only company capable of putting a lot of mass on orbit cheaply, building a lot of solar panels, and building a lot of chips. In general, industry experts see space data centers at scale being about a decade away, but Musk argued (with a lot of caveats) that they are much closer.

“This is not a promise of what we’ll do,” Musk said in the video. “This is what we are going to try to do, and think we probably can do, which is to get to roughly an annualized rate of a gigawatt per year by the end of next year, in terms of space AI compute.”

Based on his expected maximum power delivery of 150kW per satellite, that’s a production rate of 6,666 satellites a year, or about 556 a month. That’s roughly twice the reported current production rate of Starlink satellites, which is just 70 a week. Though Musk says that the AI satellites are simpler in architecture, that’s a lot to ask for a production facility that hasn’t been built yet. The company is also still building out its solar panel production facility.

That’s before we get to Terafab, the company’s much-discussed chip foundry, which Musk sees feeding into the later stages of this product as the company tries to scale up to a terawatt of annual compute production. Chip fabs are some of the hardest modern industrial projects, typically costing billions of dollars and taking as long as a decade to build.

Then there’s the most vital question: What about Starship, the key to SpaceX’s ability to economically put all those chips in orbit?

A recent test flight went well enough, but it didn’t suggest that rapid reusability is right around the corner. SpaceX may end up reusing just the booster at first, which would raise the costs of the space data center roll-out. For now, the company is still undergoing a mishap investigation for the FAA to understand why the booster stage failed to make a controlled reentry as planned. SpaceX hasn’t responded to questions about when the vehicle will fly again, thought it has said it expects to begin launching Starlink satellites with it by the end of this year.

But take that with a grain of salt: Consider that NASA, which has a nearly $4 billion contract with SpaceX to use Starship as a Moon lander, still isn’t ready to commit to a test mission with the vehicle scheduled for late 2027.

Buyer Beware

As public investors get their hands on SpaceX shares, they’ll find themselves owning a near-monopoly on access to space in the US and Europe, a world-spanning communications network, and a wager on the most ambitious infrastructure project of the AI era.

Those projects depend on SpaceX creating something never seen before — a fully-reusable rocket. The company will also need to build a high-rate production facility for AI satellites, but do so in eighteen months, not the decade it took to develop its Starlink manufacturing. Finally, it will need to build a chip foundry in the US, something even dedicated silicon firms are reluctant to take on. Musk is right that SpaceX is the only company positioned to build any of this anytime soon, but that speaks to the magnitude of the challenge as much as the company’s likelihood of achieving it.

Musk used to say he wouldn’t take SpaceX public until he reached Mars, since fickle investors might lose faith along the way. Those plans may have been put on hold, but what he’s laid out ahead of the company’s IPO could be just as difficult.

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Planned Amazon data center could become the biggest climate polluter in the U.S.

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As part of a planned data center in Pecos County, Texas, Amazon is investing in an on-site power plant that could become the largest source of climate pollution in the United States, according to The New York Times.

The NYT says the plant would burn natural gas and is permitted to release 33 million tons of carbon dioxide per year — more than any other power plant in the U.S.

In a statement, an Amazon spokesperson confirmed that the data center will “be powered by new on-site generation that won’t raise electricity costs for Texas families.” (Data centers face growing political opposition for a number of reasons, including their effect on electricity costs.)

AI has already had a significant impact on Amazon’s carbon emissions, which it reported were up 16% last year — the wrong direction for a company that pledged to eliminate its carbon emissions by 2040. And that could get worse as Amazon and tech companies back the development of huge natural gas plants to support their power-hungry data centers.

The Amazon spokesperson said, “The world looks different now than when we co-founded the climate pledge,” while also claiming, “Our commitment hasn’t changed.”

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OpenAI acquires presentation startup NextSlide

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NextSlide recently announced that it’s joining OpenAI, with the presentation startup’s team members now working on ChatGPT.

The NextSlide website currently displays a note from founder Ahmed Beshry describing the startup’s product as one “that could turn prompts, notes, documents, or research into a polished, editable presentation.”

The ultimate goal, Beshry said, was “to make visual communication more accessible and help more people express their ideas clearly.” So by joining OpenAI, the team will “continue pursuing that same mission: building AI products that help people create, communicate, and turn their ideas into meaningful work.”

The financial terms of the deal were not disclosed. In a note on LinkedIn, Beshry said the announcement is coming “a few months late,” as the acquisition took place “earlier this year.”

Beshry was previously a co-founder at Caper AI, a smart cart/cashier-less checkout startup acquired by Instacart in 2021.

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X replaces ‘misaligned’ revenue sharing program with Original Content Rewards

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X, the social media platform now owned by Elon Musk’s SpaceX, is shaking up how it pays influencers and creators.

In announcing the change, the company said it will be winding down its existing Revenue Sharing program and replacing it with something called Original Content Rewards. X will stop accepting new Revenue Sharing participants, while existing participants will continue earning money through September 7.

Then, starting on September 8, they’ll be able to apply for the new program. Participants will still need to subscribe to one of X’s Premium tiers, and there will be qualifying thresholds for follower count (500 verified followers) and impressions (500,000 Home Timeline impressions from verified users in 90 days), but it sounds like the big change is the emphasis on originality. 

What counts as original content? X said it can include original reporting and analysis, photos and videos created by the poster, or memes and graphics they’ve designed themselves. Commentary also counts, but “if your content regularly incorporates material created by others, you’ll need to contribute meaningful original value for it to qualify under our original content guidelines.”

The company also included examples of posts that won’t count as original, such as those just copied over from another account, downloaded from one account and re-uploaded to your own, or reposting content “without meaningful transformation.”

This announcement follows repeated attempts by X to reform the Revenue Sharing program, for example reducing payments to aggregators and “clickbait” accounts in April. But these efforts have also prompted complaints from popular accounts profiting from the current system; Musk even reversed some of those changes (giving a creator’s local audience more weight when calculating payouts) after a backlash.

In a post about the new changes, X’s Allegra Jacchia wrote that the existing program “had reached a point where its incentives were misaligned.”

“Creators should be focused on bringing net new content to the platform instead of maximizing payouts,” she said. “We could have kept adding more rules and exceptions, but ultimately the better decision was to start fresh and build a program designed from day one to reward originality.”

Jacchia added that X be “continue refining the program, improving our models, and raising the bar over time.”

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