3 Magnificent AI Stocks to Buy Before the Anthropic IPO

Anthropic is now valued at $965 billion and has filed an S-1, sharpening expectations for a future IPO. The article highlights how Amazon, Alphabet, and Microsoft already provide capital and cloud infrastructure exposure to Anthropic through investments totaling billions of dollars and long-term compute commitments, including Amazon's $5 billion stake and Alphabet's planned up to $40 billion commitment. The piece argues investors can gain lower-volatility exposure to the AI buildout through these hyperscalers rather than waiting for the Anthropic IPO.

Analysis

The market is treating Anthropic like a standalone IPO story, but the better lens is “compute toll-road monetization.” The hyperscalers are not just passive sponsors; they are converting frontier-model demand into durable infrastructure utilization, which is higher quality than owning a pre-profit AI lab whose economics can reset every funding round. That matters because the value transfer is happening across multiple layers at once: cloud consumption, custom silicon pull-through, and embedded equity optionality.

Second-order, the real winner is whichever platform can keep Anthropic captive while still appearing multi-cloud. AWS has the deepest operational lock-in, but Google and Microsoft gain strategic leverage by forcing Anthropic to diversify workloads, which improves their own AI credibility and drives incremental data-center and accelerator demand. The competitive risk is that this creates a capital intensity race: hyperscalers may overbuild capacity to win model share, depressing near-term margins even as revenue rises.

The contrarian takeaway is that the “buy the IPO” trade may actually be the weaker expression of the AI thesis. Public-market investors are paying for one venture asset’s terminal valuation, while the hyperscalers already have cash-flow cover and embedded call options on that same upside. The move is likely underappreciated over a 6-18 month horizon if AI training/inference spending stays elevated, but the setup becomes fragile if enterprise AI adoption slows and these commitments start looking like expensive prepayments rather than demand-backed contracts.

Catalyst-wise, watch for any sign that Anthropic’s workload mix shifts toward inference or that model competition compresses pricing; either would pressure the economics of these capacity deals. The biggest tail risk is that the capex cycle outruns monetization, leading investors to punish cloud multiples even while reported revenue accelerates.

Key Decisions for Investors

• Overweight AMZN vs direct Anthropic exposure on a 6-12 month view: AWS gets the strongest embedded demand capture with better downside protection; use AMZN on pullbacks as the cleaner AI infrastructure expression.
• Long GOOGL / short unprofitable AI private-equity proxies for a 3-6 month basket trade: Alphabet’s AI participation comes with cash-flow support and optionality, while late-stage private AI winners are more exposed to valuation compression if funding markets tighten.
• Hold MSFT as a lower-beta AI infrastructure beneficiary, but fade strength if Azure capex guidance steps up faster than cloud revenue; the risk/reward improves on any post-earnings drawdown where AI spend gets misread as dilution to near-term margins.
• Avoid chasing any future Anthropic IPO in size; if launched, consider a small tactical long only after the first lockup window, when enthusiasm typically gives way to actual revenue-multiple discipline.
• For more convex exposure, buy 6-12 month call spreads on AMZN or GOOGL instead of outright AI lab exposure; you get participation in AI upside with a defined premium and less single-asset volatility.