‘The Largest IPO Ever, Surpassing SpaceX': Anthropic Is Up Next

Morningstar expects Anthropic's upcoming IPO to potentially become the largest ever, surpassing SpaceX, but warns that institutional "must-own" demand could create valuation risk. Alphabet and Amazon are the clearest public proxies: Amazon recorded $53.4B of Anthropic-related Q2 pre-tax investment income, while Alphabet reported a $99.03B equity-securities gain largely tied to the Anthropic markup. The AI buildout is capital intensive—Amazon targets roughly $200B of 2026 capex and Alphabet raised about $70B while suspending buybacks and posting -$5.86B of Q2 free cash flow—heightening concentration and post-listing downside risks.

Analysis

The investable issue is not the private-company valuation mark itself but the divergence between reported EPS and cash economics at AMZN and GOOG. Large unrealized gains can mechanically lower apparent P/E ratios while AI infrastructure commitments raise depreciation, power, and financing burdens over the next 6-18 months; the market should increasingly value these companies on cloud operating income, capex-to-revenue conversion, and free cash flow rather than headline net income. A public listing would also create a more liquid reference price, increasing quarter-to-quarter earnings volatility from equity-accounting marks rather than reducing it.

AMZN has the cleaner near-term read-through if Anthropic workload remains concentrated on Trainium: higher chip utilization can improve AWS fixed-cost absorption and validate a credible alternative to NVIDIA-dependent GPU economics. The second-order loser is NVDA only if customer disclosures show sustained training/inference substitution toward Trainium or TPU; absent that evidence, the announcement is more likely incremental AI demand than displaced GPU spend. GOOG's upside is less direct because its cloud benefit competes with the risk that an independent, well-capitalized Claude strengthens a rival model ecosystem against Gemini.

Consensus may be overestimating forced passive demand and underestimating post-listing supply. IPO inclusion in major benchmarks normally requires seasoning, eligibility, and committee action, while employee, early-investor, and strategic-holder liquidity around lockup expiry can create a 3-6 month supply event. The article's market-price and financial claims require independent verification before sizing: a purported public SpaceX ticker and unusually large investment gains are not sufficient evidence of a tradable analogue or durable earnings power.

Near term, treat any listing-date enthusiasm as a positioning event, not a fundamental catalyst for AMZN or GOOG. Over 1-3 months, the relevant catalysts are disclosed cloud revenue, AI-chip utilization, capex guidance, and the offering's valuation versus recurring revenue; over 6-18 months, the key question is whether AI customers generate enough gross profit to offset accelerating depreciation and energy costs.

Key Decisions for Investors

• Maintain a modest long AMZN / short GOOG relative-value position into the next two earnings cycles only if AWS growth and operating-margin expansion exceed Google Cloud's; Trainium utilization offers AMZN a more direct monetization catalyst. Exit if AWS growth decelerates or AMZN raises 2027 capex without corresponding cloud-margin leverage; target 5-8% relative return versus 3-4% stop.
• Do not buy AMZN or GOOG solely for private-stake exposure. Establish an alert around earnings: reduce exposure if management emphasizes investment gains while operating cash flow minus capex deteriorates for two consecutive quarters, as this would invite quality-driven multiple compression.
• Watch NVDA versus AMZN as a substitution signal rather than initiate immediately: consider long AMZN / short NVDA only after quantified evidence that Trainium captures material training or inference workloads and NVDA data-center guidance fails to reaccelerate. Without disclosed workload or unit-economics data, this pair lacks a reliable catalyst.
• For broad AI-beta risk management over the 1-3 month IPO window, hedge concentrated mega-cap exposure with QQQ puts or a partial QQQ trim rather than attempting to trade an unverified listing proxy. Reassess after prospectus disclosures establish revenue concentration, compute obligations, lockup terms, and index eligibility.