The 3 Best Stocks to Buy in October

The article highlights Nvidia, Amazon and Nebius as AI-driven investment ideas for 2027, citing Nvidia's expected 70% revenue growth next year, Amazon AWS's 37% growth and 60% share of Q2 operating income, and Nebius's 454% Q2 growth. Amazon is projected to benefit from $220 billion of annual data-center capex, while analysts expect Nebius revenue growth of 520% in Q3, 537% in Q4 and 270% in 2027. Nvidia is trading at 24x forward earnings versus at least 40x at year-end in 2024 and 2025, supporting the article's bullish valuation argument.

Analysis

The investable implication is not simply AI demand persistence, but a widening divergence between chip vendors, hyperscalers, and GPU-rental intermediaries. NVDA retains the cleanest near-term earnings torque if accelerator deployments remain supply-constrained, but its multiple can only re-expand if gross margin holds through the next platform transition and hyperscaler capex translates into purchase orders rather than internally designed ASIC substitution. Over the next 1-3 months, NVDA’s key catalyst is evidence that Blackwell/Rubin delivery volumes and networking attach rates exceed consensus; the 6-18 month risk is that AMZN, GOOGL and MSFT shift incremental workloads toward proprietary silicon, reducing the most profitable portion of merchant GPU demand.

AMZN is the more asymmetric large-cap expression of AI infrastructure spending because incremental AWS utilization can convert an existing fixed-cost buildout into margin expansion. The market will focus on capex, but the relevant underwriting variable is whether AWS revenue acceleration outpaces depreciation and power/network costs by mid-2027; that would support both EPS revisions and a higher cloud multiple. A failure of utilization to ramp would instead create a free-cash-flow air pocket and make AMZN vulnerable versus MSFT and GOOGL, which have more diversified AI monetization paths.

NBIS offers the highest narrative beta but should be treated as a financing-and-execution trade, not a durable compounding thesis yet. Triple-digit growth from a small base can coexist with negative unit economics, customer concentration, lease liabilities, and repeated equity issuance; scarcity value also fades quickly if CRWV, ORCL, or hyperscalers add comparable capacity. Consensus enthusiasm appears to underweight power availability, GPU procurement terms, and the cost of funding data-center expansion—variables likely to matter before reported revenue growth decelerates.

Key Decisions for Investors

• Maintain/establish a 6-12 month long NVDA versus short SOXX or a basket of lower-quality AI hardware names: NVDA should outperform if platform shipments and networking content sustain earnings revisions. Reduce if gross-margin guidance falls materially or hyperscaler capex guidance shifts explicitly toward custom silicon.
• Accumulate AMZN on post-results capex-driven weakness for a 12-18 month horizon; require AWS growth to remain above the company’s consolidated cost-growth rate and operating-margin expansion to validate the thesis. Preferred relative-value expression: long AMZN / short ORCL, where Oracle carries greater financing and customer-concentration sensitivity if AI capacity utilization disappoints.
• Do not chase NBIS on revenue-growth headlines. Create an alert for disclosure of contracted backlog, customer concentration, GPU lease obligations, and net cash runway; only consider a small tactical long after evidence that incremental capacity earns positive contribution margin without another near-term equity raise.
• For the next earnings cycle, monitor AMZN, MSFT, GOOGL and META combined capex guidance as the highest-frequency read-through for NVDA. A broad upward revision supports the semiconductor long; a flat capex outlook paired with commentary on utilization or proprietary accelerators is the signal to cut AI-infrastructure beta.