The AI IPO Gold Rush: Why SpaceX, Anthropic and OpenAI Listings Could Be a Buy Later, Not Now

Hook

SpaceX has submitted an S-1 and Anthropic has quietly filed, while OpenAI remains widely expected to follow. That puts three of the most consequential private companies in AI and space on a fast track to the public markets, and it has pushed retail and institutional capital into a single narrative: get in early or miss the next generational return.

What happened

SpaceX has filed its S-1, beginning the formal IPO process.

Hosts reported Anthropic has also filed its S-1 confidentially.

OpenAI has not publicly filed yet, but is widely expected to pursue an IPO in the near term.

Those filings mean a wave of disclosures is coming, and with them, formal valuations, lock-up terms, related-party transactions, and line items that private markets have so far kept opaque.

Why this matters now

These listings are not a normal cadence of tech IPOs. They involve firms that control critical infrastructure for AI compute, communications and robotics. The public market will place a price on long term research roadmaps and on hardware and software moats. That price will determine where capital flows, how these companies are governed, and how fast they can pursue expensive R&D.

Two dynamics are driving urgency. First, the companies themselves need capital to scale compute, data centers and hardware. Second, market momentum and retail interest have created a fear of missing out. That combination pushes some companies to list while key questions remain unanswered.

Key red flags and investor traps

Governance and lock-up signals: The filings will show who controls voting power, and how long insiders are locked in. Elon Musk has signaled long lock-up windows in public discussion, which some view as conviction, others view as part of a narrative to support a high opening price.

Easing of retail protections: The hosts flagged that thresholds that once restricted certain private allocations to accredited investors have been relaxed in practice, lowering the financial bar for retail participation. They view that as a warning sign, because it increases the number of unsophisticated buyers exposed to volatile listings.

Valuation and pump risk: Several voices in the discussion predicted the IPOs will start at high headline prices, then face volatility when retail buyers look for immediate returns. One host argued that an overvalued opening, followed by a failure to deliver quick revenue growth, makes a big dip likely.

Visibility into spending and internal deals: Once public, acquisitions and intercompany transfers become visible. The AI labs have made aggressive bets and purchases while private. The S-1 will force disclosure about deals, their prices, and whether capital was used in ways investors will question.

SpaceX: hardware moat or narrative play?

SpaceX is the outlier in this trio because it is primarily a hardware and infrastructure company. Hosts pointed to several tangible revenue drivers:

Starlink satellite internet, which already generates commercial revenue and expanded consumer experiences, for example on airplanes.

New compute and data center initiatives, including partnerships to provide compute to cloud players.

Robotics work such as Optimus, which ties into longer term automation plays.

Those assets give SpaceX a clearer revenue story than a pure software lab. One host said that hardware and vertically integrated infrastructure are a real moat, and that SpaceX took time to build revenue lines before filing. Another counterpoint is that long term space ambitions alone are not enough to justify public valuations without clear paths to commercial scale and margins.

AI labs: capital hungry, competitive and opaque

Anthropic and OpenAI face different risks. The hosts emphasized:

High operating costs, especially compute and token usage, which some large customers and platforms have recently flagged as expensive.

Intensifying competition from both open source models and major incumbents, including Nvidia and Google, who are moving quickly on hardware and model releases.

The danger that public scrutiny will reveal cash burn and internal transfers that private investors could obscure.

The result is that an IPO will not just be a valuation event, it will be a transparency event. Investors will get to see how much these labs spend on compute, which customers pay for models, and how defensible their business models really are.

What is uncertain

Timing and pricing. OpenAI still has not filed publicly, and headline share prices can be set to shape sentiment. Those initial prices are often less about present fundamentals and more about story telling.

How durable the competitive advantages are. Open source models and changes to hardware economics could compress margins for commercial API businesses.

Regulatory and governance outcomes. Lock-up lengths, insider voting control, and related-party transactions will shape the companies long term incentives.

What to watch next

The S-1 filings themselves. Look for revenue breakdowns, customer concentration, compute costs, and details on internal deals and asset purchases.

Lock-up terms and voting structures. Who can sell, when, and who retains control after the IPO will shape strategy.

Proofs of commercial revenue. For SpaceX, how much Starlink and compute contribute to current revenues matters. For AI labs, recurring contract revenue and margins will be decisive.

Moves from incumbent players. Nvidia, Google and other cloud providers are changing the hardware and model landscape. Any major open-source release or hardware road map advance could change the economics of AI services.

A practical investor takeaway

Views in the discussion were split. Tadiwa urged caution, calling the wave risky and advising retail to stay away. Elvis argued SpaceX looks different because it is a hardware business with tangible revenue sources, but he also advised waiting for a post-IPO dip before buying in. Both agreed that many retail investors should resist FOMO.

If you follow these developments, focus on the filings, not the headlines. Expect volatility on day one. If you do not fully understand compute economics, governance, or the revenue drivers, sit back and let disclosure answer those questions. If you choose to participate, consider limiting allocation, and treat any initial surge as a potential sell zone rather than an automatic buy.

What to watch this week: the full S-1s, lock-up provisions, and any explicit revenue contracts or compute customer listings. Those items will tell you whether the public market is pricing durability or just a narrative.

Source: The AI IPO Gold Rush: Should You Buy SpaceX, OpenAI & Anthropic?