SpaceX’s IPO is being sold as a once-in-a-generation moment: a chance to own the company that helped make reusable rockets normal, built Starlink into a global broadband business, and is now positioning itself as the backbone for everything from satellite communications to “data centers in space.” But beneath the headline numbers and the cinematic language of Mars and compute, the story that’s emerging is less about rockets alone—and more about how modern capital markets can be shaped when one person sits at the center of multiple high-attention platforms, when governance rules are unusually permissive, and when index mechanics turn excitement into forced buying.
In a recent episode of The Verge’s Decoder podcast, technology reporter Ryan Mac—coauthor of Character Limit: How Elon Musk Destroyed Twitter—connected those dots directly. His argument wasn’t simply that SpaceX is overhyped, or that Elon Musk is uniquely good at persuasion. It was that the IPO’s structure, timing, and investor pipeline may reduce the usual friction that helps markets discover price. In other words: even if fundamentals matter, the path to the market can be engineered so that fundamentals arrive late, while demand arrives early.
That framing matters because SpaceX isn’t entering public markets as a typical company with a typical ownership structure and a typical post-IPO cooling period. It’s entering at the peak of a hype cycle—one where AI narratives, celebrity CEO momentum, and passive index flows can all reinforce each other. And in this environment, the “checks and balances” that normally slow down exuberance—independent board oversight, shareholder remedies, and standard index inclusion timelines—can become less effective than investors expect.
The first link in the chain is X, formerly Twitter. Mac’s view is blunt: X has stagnated as a business since Musk acquired it in 2022. He points to the idea that user growth and revenue growth appear flat or declining across major metrics, with only certain revenue streams—like data licensing to AI companies—showing improvement. In his telling, X has been repeatedly buried inside Musk’s broader corporate universe: first folded into xAI, then effectively treated as an afterthought relative to other priorities like Starlink and the rocket business.
But the key point isn’t that X is failing. It’s that X functions as a distribution engine for Musk’s worldview and announcements. Even if the platform’s core business metrics don’t impress, its influence can still be monetized indirectly—by shaping sentiment around Musk’s other ventures, by amplifying narratives that attract capital, and by keeping him constantly visible to investors who may not follow every technical detail of SpaceX’s filings.
This is where the “everything app” concept becomes relevant—not because it has fully materialized, but because it illustrates a pattern. Musk sold the idea that X could become a WeChat-like hub for payments and daily life. That didn’t happen in the way he promised. Yet the platform still serves as a megaphone. It’s a place where announcements land instantly, where market participants learn what Musk wants them to believe, and where the CEO’s personal brand can substitute for traditional marketing.
Mac’s broader thesis is that influence can outweigh fundamentals in the short term. That doesn’t mean fundamentals never matter. It means they may matter later, after the market has already priced in a story. And if the story is compelling enough—especially when it’s tied to large, emotionally resonant themes like Mars, data centers, and “the future of compute”—then the market can move faster than the underlying business can prove itself.
Now consider what happens when that same influence meets the mechanics of an IPO.
SpaceX’s IPO is being described as enormous—nearly $2 trillion in some reporting and discussion—and consequential not just because of size, but because of how it may interact with the rules that govern public-market access. Mac emphasizes that the IPO appears to be structured in ways that may relax or bypass mechanisms that usually keep companies accountable. He frames this as a corporate governance issue, but the practical effect is simpler: if the usual levers of oversight are weakened, the market may have fewer ways to correct mispricing quickly.
One of the most discussed governance elements is Musk’s voting control. According to Mac’s description, SpaceX uses super-voting shares that give Musk roughly 85% control of votes. That’s not just a majority; it’s a level of control that makes removal or meaningful board-level resistance difficult. In a typical public-company setup, shareholders can exert pressure through voting power, board composition, and—critically—through the threat of legal remedies. When voting control is concentrated, those threats become less credible.
Mac also highlights compensation dynamics. He describes a pay package involving restricted stock and milestones tied to extremely ambitious goals—such as a Mars colony with a million people and massive compute capacity in space. The controversy, in his view, isn’t only the ambition. It’s the combination of milestone design with voting rights. If the CEO can vote shares before milestones are achieved, then the governance system can grant power now while tying economic payoff to outcomes later. That’s a subtle but important distinction: it can allow the CEO to retain control regardless of whether the milestones are met, while still presenting the package as “performance-based” to the public.
There’s also the question of how shareholder disputes are handled. Mac points to arbitration terms in which shareholders agree to arbitration for issues such as alleged fraud or securities-law violations. In his framing, this can limit the ability of shareholders to pursue certain types of lawsuits in court. Whether one agrees with the legal interpretation or not, the practical takeaway is that investor remedies can be narrower than retail investors assume when they buy into a public offering.
These governance details might sound technical, but they connect to a larger market behavior problem: when accountability is reduced, the market relies more heavily on narrative and less on discipline. That’s not unique to SpaceX. It’s a recurring theme in modern finance. But SpaceX’s scale and attention make it especially potent.
Then there’s the index-fund question—the part of the story that Mac calls both underplayed and “insane.”
In normal circumstances, after an IPO, it takes time for a company to enter major index funds. That delay creates a cooling period. It allows prices to settle, valuations to stabilize, and hype to fade before passive investors are forced to buy. Mac argues that SpaceX’s timeline appears to compress that process. He describes an example involving the NASDAQ-100, where typical inclusion might take around 90 days, but SpaceX could enter after roughly 15 days. If true, that would mean index funds begin buying while the stock is still in the middle of a hype cycle.
Why does that matter? Because index funds don’t “choose” based on conviction. They track. When inclusion happens early, passive demand can arrive before the market has fully digested fundamentals. That can amplify volatility and can also create a feedback loop: early buying pushes the price up, which attracts more attention, which increases retail interest, which can further intensify demand.
Mac’s point isn’t necessarily that someone sat down and “rigged” the system in a cartoonish way. It’s that the system can be bent by timing and rule adjustments in ways that are opaque to most investors. He compares it to changing the rules of football at the Super Bowl—same game, different constraints, and suddenly the outcome is shaped by structural advantage rather than equal competition.
This is where FOMO becomes more than a psychological buzzword. It becomes a mechanical force. Mac cites a fund manager quote from reporting: if they miss out on the IPO, someone will ask why they weren’t in; if they get burned, many others will be burned too, giving them cover. That’s herd behavior, but it’s also risk management. When everyone expects to own the stock—especially through index exposure—opting out can feel like career risk.
Retail investors, meanwhile, may receive marketing materials that make participation feel easy and urgent. Mac describes Robinhood-style messaging about IPO availability. Even if the average retail investor understands little about governance structures, they can still be pulled into the trade by the sense that “everyone else is getting in.”
So what does the market actually believe it’s buying?
Here the conversation shifts to fundamentals versus promises. Mac argues that Starlink is the crown jewel: it’s the profitable part of the business, generating substantial revenue and profit relative to other segments. He contrasts that with other areas described as loss-making—AI-related efforts, certain launch activities, and NASA-linked contracts that may not be profitable on their own.
That contrast is crucial. If Starlink is the stable engine, then the rest of the IPO story is essentially a bet on expansion: that the company can convert its launch and satellite infrastructure into a broader compute and data-services empire. The IPO documents reportedly include very large total addressable market (TAM) figures for enterprise AI—numbers that Mac characterizes as extremely large relative to evidence of competitive leadership in AI models.
His critique is not that AI is impossible. It’s that the TAM claims may be “trust me” at this stage. He questions how SpaceX arrives at a figure like $22.7 trillion for enterprise AI, especially when the AI model landscape is dominated by companies with strong mindshare and distribution advantages. In his view, xAI’s models are not clearly leading at the frontier, and the competitive position is uncertain.
Yet SpaceX’s pitch can still make sense if you treat the company less like a pure AI model developer and more like an infrastructure provider. If SpaceX can offer compute capacity, networking, and data-center access—especially “in space” or via space-enabled systems—then it may not need to win the model war to win the money war. It could monetize demand for compute even if its models aren’t the best.
Mac acknowledges this nuance when discussing deals like renting compute capacity to other AI companies. In that scenario, SpaceX behaves more like an AWS-like infrastructure provider than a top-tier model lab. That can be profitable. But it also raises a question: if the