There's a Reason SpaceX, OpenAI, Anthropic, and Cerebras Are All Making Their IPOs at the Same Time, and It Has Huge Implications for Stock Investors

2026 could be a record year for IPOs, with SpaceX, OpenAI, and Anthropic each expected to debut at valuations above $1 trillion. The article argues that surging IPO gross proceeds historically coincide with elevated market valuations and can precede weaker forward equity returns, citing 1986-87, 1999-2000, and 2020-21 as examples. The piece is broadly constructive on the companies but cautionary for the market overall.

Analysis

The important second-order effect is not the IPOs themselves, but the financing/valuation regime they signal. When private-market leaders rush public, it usually marks the point where late-stage capital is abundant enough to let insiders de-risk, while public-market investors are still willing to pay premium multiples for growth optionality. That tends to pull liquidity out of the private ecosystem and into public comparables, which can temporarily inflate software/AI multiples across the board before the market reprices the crowdedness of the trade.

For NVDA, the near-term read-through is more nuanced than “AI is bullish.” A wave of trillion-dollar AI IPOs would validate end-demand for compute, but it also increases the probability that hyperscalers and model builders push harder on custom silicon, model efficiency, and capex discipline once the market starts demanding profitability. That creates a medium-term risk that the market begins discounting a transition from “infinite spend” to “returns on spend,” which can compress NVDA’s multiple even if absolute revenue stays strong.

For INTC, this is more of a strategic opening than a direct fundamental catalyst. A frothy IPO window raises the value of infrastructure and foundry narratives, especially if new public AI names want domestic, diversified supply chains and more bargaining power versus a single supplier ecosystem. But the contrarian risk is that headline AI exuberance can also starve legacy chip names of investor attention unless they can credibly attach themselves to the next wave of compute buildout.

The bigger market risk is timing: IPO booms are usually late-cycle liquidity events, not early-cycle confirmations. In the next 3-9 months, the key variable is whether new issuance is met with strong aftermarket demand or if supply overwhelms incremental buyers; the latter would likely spill over into the broader growth complex first, then into semis. If that happens, the winners become cash-generative enablers with visible backlog, while the losers are high-duration names relying on continued multiple expansion.

Key Decisions for Investors

• Stay tactically long NVDA into the IPO window, but finance it with a trailing collar or covered-call overlay; use strength to reduce exposure if implied growth expectations start decoupling from capex commentary over the next 1-2 quarters.
• Initiate a relative-value pair: long NVDA / short a basket of high-duration AI software or unprofitable IPO comparables for 3-6 months, targeting a rotation from narrative-driven upside to quality dispersion if issuance crowds the tape.
• For INTC, express a small speculative long via calls 6-12 months out rather than spot equity; the setup is asymmetric only if AI IPOs accelerate supply-chain localization and foundry demand, but the base case remains execution risk.
• Use any post-IPO weakness in large-cap AI beneficiaries to add selectively, but avoid chasing first-day or first-week moves in newly public names; the risk/reward typically worsens once lockup-expiry supply becomes visible 3-6 months later.
• If the IPO calendar accelerates faster than expected, add a hedge through QQQ or SMH puts 2-4 months out; the edge is in protecting against a broad multiple-compression event, not in shorting individual debuts outright.