Not Anthropic. Not OpenAI. This Is the Artificial Intelligence (AI) Stock I'd Buy Before the Next Mega-IPO.

Alphabet is presented as a profitable way to gain exposure to the AI boom ahead of potential OpenAI and Anthropic IPOs: Google Cloud revenue rose 82% year over year to $24.8 billion in Q2, and Alphabet reported $120 billion in revenue and about $40.8 billion in operating income. Alphabet had invested roughly $3 billion in Anthropic for an estimated 14% stake and announced plans to invest up to $40 billion more, with $30 billion contingent on performance milestones. The article argues Alphabet's 23x forward P/E and diversified AI exposure are less speculative than OpenAI's $852 billion and Anthropic's $965 billion private valuations.

Analysis

The key underwriting question is whether AI infrastructure growth converts into attractive incremental returns—not whether Alphabet has exposure to prominent model developers. Cloud commitments can support utilization of Google’s data centers and TPUs, but the economics depend on contract duration, pricing, power availability, and the capex required to deliver capacity. If those terms are weak, revenue growth could coexist with margin pressure and higher depreciation. The 2027 capacity ramp is a medium-term catalyst, not near-term earnings certainty.

Alphabet’s Anthropic position is optionality, not a liquid substitute for owning Anthropic shares. The reported stake’s value depends on financing terms, dilution, and the eventual IPO price; the additional investment is milestone-contingent. Avoid capitalizing a hypothetical IPO valuation as realizable value. The more durable thesis is infrastructure revenue, while the same investment may also help fund a customer that competes with Gemini.

Second-order risk: model providers’ multi-cloud sourcing improves their bargaining power and may cap supplier economics. Meanwhile, AI answers could pressure the search-ad model; evidence of sustained monetization or traffic displacement matters more than model benchmarks. Over the next 1–3 months, look for cloud backlog, capex, and margin commentary; the 6–18 month test is whether capacity additions earn returns above their capital cost. No trade follows solely from the article’s optimistic framing.

Key Decisions for Investors

• Keep GOOG as a preferred large-cap AI exposure, but add only on weakness or after results confirm Cloud growth is translating into stable or improving operating margins. Falsifier: rising capex and depreciation without corresponding cloud margin or cash-flow improvement.
• Treat the Anthropic stake as a scenario-based upside, not as a reason to assign Alphabet a higher base-case value. Verify the stake’s ownership after new funding, investment conditions, and any dilution before updating estimates.
• Do not initiate a GOOG-versus-MSFT pair solely on this news: OpenAI’s use of multiple cloud providers does not establish a material loss of Azure economics. Reassess if Microsoft reports a meaningful change in AI workload growth or cloud profitability.
• Monitor search monetization and traffic metrics alongside Cloud backlog and capex. A sustained deterioration in search economics, or evidence that TPU commitments are delayed or underpriced, would weaken the thesis and argue against adding GOOG.