3 Artificial Intelligence (AI) Stocks That Are Better and Safer Buys Than Anthropic

The article argues Alphabet, Amazon, and Microsoft offer safer public-market AI exposure than Anthropic, whose anticipated IPO could seek a valuation as high as $2 trillion despite competition and a lack of profitability. Alphabet reported September-quarter revenue of $127.6 billion, up 25% year over year, while Amazon sales rose 12% to $201.9 billion and AWS grew 39%; Microsoft revenue increased 19% to $92.3 billion. The companies trade at forward P/E multiples of 18, 22, and 26, respectively; the article notes Alphabet missed analyst expectations and Amazon shares were up about 7% so far in 2026.

Analysis

The investable question is not which company has the best chatbot, but who can convert AI usage into durable cash flow without letting compute costs outrun monetization. Alphabet has the clearest two-sided exposure: Gemini can defend engagement, but AI answers could also reduce search clicks or change ad economics. Treat the recent results and cited forward multiples as article-reported inputs, not proof of cheapness; verify search growth, ad pricing and capex guidance before adding. Amazon’s cloud demand and in-house chips offer operating leverage if utilization and customer workloads scale, while heavy infrastructure spending could absorb that upside. Its Anthropic stake is optionality, not a clean proxy for Anthropic equity. Microsoft’s distribution and existing software base may support monetization, but the cited premium leaves less room for disappointment if AI features fail to lift paid usage or productivity revenue.

Near term, IPO pricing and allocation-driven flows could create volatility across AI proxies; a richly priced debut would strengthen the relative-value case but would not by itself validate incumbent valuations. Over 1–3 months, watch cloud growth, capex, and evidence of AI-related revenue conversion. Over 6–18 months, the key risk is that model competition commoditizes inference while power, chips and data-center costs remain high. Potential beneficiaries include cloud infrastructure and semiconductor suppliers, but the article provides no evidence to underwrite specific names. Contrarian point: the private-market mark may be a poor comparison to public-company multiples; incumbents can also be expensive if AI cannibalizes profitable legacy products or returns on capex disappoint.

Key Decisions for Investors

• Prefer a staged long in AMZN or MSFT over chasing ANT at an aggressive IPO valuation; size only after reviewing final offer terms, dilution, lockups and post-listing liquidity. The thesis is falsified by deteriorating cloud growth alongside rising capex or weak AI monetization disclosures.
• Keep GOOG on a watchlist rather than treating the reported forward P/E as sufficient value evidence. Add only if search/ad performance remains resilient and management’s capex trajectory supports credible returns; reassess if search revenue growth or ad pricing weakens materially.
• For an IPO-related relative-value expression, consider a small, defined-risk options position in a liquid incumbent rather than shorting ANT immediately; use only after pricing and volatility are observable. A direct short may be crowded, hard to borrow, or unavailable, and an elevated IPO print alone is not a catalyst for a sustained decline.
• Monitor the next earnings cycle for cloud growth, AI revenue or usage conversion, capex commitments, and operating-margin direction. If investment rises faster than monetized demand across the cloud leaders, reduce the basket rather than assuming AI demand automatically translates into shareholder returns.