Should You Buy Leading AI Stocks Today -- Or Wait to Invest in SpaceX, Anthropic, and OpenAI's Supersized IPOs?

The article highlights a continued AI-driven bull market, with the S&P 500 up 77% over three years and major AI beneficiaries like Nvidia and Alphabet posting triple-digit stock gains. It also points to a new wave of AI-linked IPOs from SpaceX, Anthropic, and OpenAI, with implied valuations of nearly $2 trillion, $965 billion, and $852 billion, respectively. Overall, it is a bullish commentary on AI investment opportunities rather than a company-specific earnings event.

Analysis

The market is implicitly paying up for a second derivative that may already be decelerating: the established AI winners still have operating leverage, but the next leg is less about model demand and more about capex digestion, pricing power, and who can turn AI infrastructure spend into durable free cash flow. That favors platform-scale distributors of AI demand over pure hardware beta; the highest-quality compounds likely remain the cloud, ad, and networking layers where AI is additive to existing monetization rather than the sole growth engine.

The bigger second-order effect is not the IPOs themselves, but the capital-cycle signal they send. A wave of private-to-public exits at elevated valuations usually pulls attention away from incumbents and forces public-market investors to discriminate between revenue growth and eventual margin structure; that can compress multiples for names where AI spend is still ahead of monetization. In practice, this is most relevant for semis and infrastructure suppliers: they can look optically “cheap” on forward numbers while the real risk is that customer mix shifts from scarcity-driven ordering to normalization.

The contrarian read is that retail-accessible marquee IPOs may be a liquidity event rather than a clean fundamental edge. If these listings come with large supply, they can absorb speculative capital for months and temporarily undercut the crowded AI trade, especially in the most consensus-owned leaders. The better setup is to use any post-IPO weakness to add exposure selectively, while avoiding chasing the first-day enthusiasm where implied scarcity is highest and operating history is lowest.

Key Decisions for Investors

• Rotate within AI: add GOOGL and AMZN on 3-6 month weakness versus NVDA; prefer businesses where AI lifts monetization on top of existing cash engines, not names whose valuation depends primarily on sustaining hyperscale capex.
• Reduce near-term chase risk in NVDA: if already long, harvest 15-25% into strength and consider re-entering on a 8-12% pullback; the risk is multiple compression if data-center spending growth normalizes over the next 1-2 quarters.
• Express a relative-value view: long AVGO / short INTC for 6-9 months; AVGO has clearer AI content and pricing power, while INTC remains a lower-quality beneficiary if the market broadens beyond pure AI winners.
• Avoid pre-IPO momentum in private AI names; if public listing occurs, wait 2-8 weeks post-debut for supply to clear, then size entries only if lockup/sell-side dilution is not overwhelming.
• For aggressive accounts, use call spreads on GOOGL or AMZN rather than outright NVDA exposure; better skewed upside if AI monetization broadens without paying peak multiple for the most crowded trade.