Anthropic Could Be the Next Mega IPO: 2 Magnificent Stocks That Already Own a Piece of the AI Unicorn

Anthropic, the maker of the Claude LLM, filed a confidential draft S-1 and is rumored to go public later this year (possibly as soon as next month), creating an early AI IPO opportunity even though retail trading isn’t available yet. Amazon invested $8B initially and an additional $5B in April, with up to $20B more tied to milestones, and also announced it will spend more than $100B on AWS over the next decade to run Anthropic on Trainium chips; Alphabet (Google parent) committed up to $40B (with $10B upfront plus $30B contingent). The stakes are already showing up in results, with Alphabet reporting $112.1B Q2 net income (driven by $98B net unrealized gains on equity investments) and Amazon citing $53.4B in Q2 “other income” primarily from investments in Anthropic.

Analysis

The market’s first-order read will be to capitalize the private markups into AMZN and GOOG/GOOGL, but the more durable bull case is operating leverage: both clouds are turning model-training spend into long-duration infrastructure demand, which should matter more than the paper gain. The risk is that investors confuse accounting volatility in “other income” with repeatable earnings power; if the IPO pricing comes in below the last private round or the lockup math disappoints, the stock reaction could fade fast even if the underlying cloud relationship remains intact.

Second-order, the Anthropic listing is a competitive signal for the entire AI stack: public market validation should widen the valuation gap between hyperscalers with embedded AI distribution and the rest of software. That favors AMZN most if AWS can keep tying compute commitments to proprietary chips, while GOOG/GOOGL gets a credibility boost on enterprise AI infrastructure but still has to prove monetization can outrun capex. A weaker-than-expected IPO would likely hit smaller AI infrastructure beta harder than the megacaps, because it would puncture the “every model vendor is worth a trillion” narrative.

Contrarian view: the consensus may be overestimating how much this changes near-term fundamentals. The real catalyst is not the IPO itself but whether AWS and GCP convert headline commitments into reported cloud growth over the next 1-3 quarters; without that, the mark-to-market gains are noise. Falsifiers are simple: stalled cloud growth, a delayed IPO, or a sharply lower primary valuation than the private round, which would argue the AI funding cycle is normalizing faster than expected.

Key Decisions for Investors

• Long AMZN vs. QQQ into the IPO window (1-3 months): better direct exposure to AI infrastructure demand and the clearest embedded optionality; target a 5-8% relative outperformance if cloud re-accelerates, cut if AWS growth slows or the IPO slips beyond this quarter.
• Accumulate GOOGL on any post-event weakness over the next 2-6 weeks: the market may underwrite the accounting benefit and overfocus on capex, but the more important driver is enterprise AI monetization; risk/reward improves if the stock de-risks on a lower-than-feared IPO print.
• If you want to express the trade more cleanly, run AMZN/GOOGL as a basket long against XLK or QQQ for 1-2 quarters: this isolates AI-cloud share gain from broader mega-cap multiple noise.
• Set a watch item on the IPO pricing range and first-quarter post-listing guidance: if Anthropic prices materially below the last private mark or references softer commercialization milestones, reduce exposure to AMZN/GOOG into strength.
• No aggressive NVDA short on this headline alone; use it only as a hedged overlay if AI IPO enthusiasm starts to lift all model/infrastructure names indiscriminately, because the direct fundamental linkage to NVDA is weak versus the cloud winners.