Here are two top AI stocks to consider buying in November.
AI infrastructure is officially a major fiscal concern now, with leading tech firms boosting their capital spending forecasts for 2025 and hinting at even larger budgets for 2026.
Nvidia anticipates earning over $500 billion from Blackwell and Rubin GPU sales by 2026, with the demand driven largely by hyperscaler investments.
Amazon Web Services reported a 20% growth in the third quarter—its fastest growth rate since 2022—largely due to customized silicon that mitigates costs while AI demand rises.
Artificial intelligence infrastructure is moving from theory to practice, as companies like Microsoft, Alphabet, Meta Platforms, and Amazon collectively spend about $100 billion each quarter on data centers, signaling that even larger investments are on the horizon. This reflects a broad effort to secure computing power and talent crucial for the technological landscape over the next decade.
The scale of this investment surge is quite astonishing. Microsoft has announced plans to nearly double its data center capacity over the next couple of years. Meanwhile, Alphabet raised its 2025 capital spending projection to between $91 billion and $93 billion. Similarly, another tech firm elevated its forecasts to around $70 billion to $72 billion, highlighting significant expenditures anticipated for 2026. This trend signifies a fundamental shift in capital allocation among tech platforms.
In this context, I think Nvidia and Amazon are the two most notable stocks to consider regarding this infrastructure boom. One supplies the essential tools for building while the other profits from cloud service infrastructure, generating substantial quarterly operating profits. Both companies seem like solid investment choices for November.
This week, Nvidia’s market cap exceeded $5 trillion, marking it as the most valuable company globally. CEO Jensen Huang recently stated that Nvidia is on track for revenues exceeding $500 billion from Blackwell and Rubin sales by 2026. The company later indicated that this forecast was more about expected demand than confirmed orders, yet the figures nonetheless indicate an unprecedented need for AI-focused processors, a trend that appears to be continuing.
Major players like Amazon, Microsoft, Alphabet, and Meta have raised their forecasts for capital expenses in 2025, with some planning to nearly double their data center capacities and boost their AI abilities by over 80% in fiscal 2026. Nvidia is well-positioned to profit from this influx of spending by providing the GPUs and networking tech needed for these expansions. Beyond just the raw performance of its chips, Nvidia’s CUDA software platform creates switching costs that keep customers tied to its ecosystem, even as they develop their own hardware alternatives.
Nvidia’s Blackwell architecture is currently being refined, with Rubin scheduled for future releases. This ongoing product development allows Nvidia to sustain its revenue growth as clients transition from Hopper chips to Blackwell and subsequently to Rubin. However, export restrictions to China and a potential wait for clients to integrate new hardware are genuine concerns. Still, the projected $500 billion in potential revenue offers a buffer that few can match.
Amazon Web Services reported a 20.2% increase in revenue year-over-year, reaching $33 billion—the highest growth rate since 2022. CEO Andy Jassy mentioned that the demand is arising from both generative AI applications and core infrastructure, with AWS adding over 3.8 gigawatts of new data center capacity in the past year. The division’s operating profit for the latest quarter was $11.4 billion, making up approximately two-thirds of Amazon’s total operating profit.
This financial engine is funding necessary large capital expenditures to maintain competitiveness—Amazon has raised its 2025 capital spending forecasts to $125 billion, up from $118 billion, with analysts predicting even higher numbers in 2026. More than half of its Bedrock AI services are now powered by proprietary Trainium and Inferentia chips, thus enhancing profit margins and total scalability of AI services. This gives AWS an edge compared to traditional infrastructure operators.
The inception of Project Rainier, an $11 billion data center campus designed for Anthropic’s Claude model, showcases AWS’s readiness to invest heavily in customer-centric infrastructure. Such extensive projects provide long-term revenue visibility and create barriers for competitors, reinforcing AWS’s leading position in cloud services. Major clients like Delta Airlines, Volkswagen Group, and SAP are expanding their AWS relationships, validating its capability to manage critical workloads effectively.
In summary, Amazon’s strong momentum in AI and healthy growth in its cloud segment position it as an attractive stock for November.
Before making an investment in Nvidia, keep the following in mind:
Analysts at one investment advisory service have identified ten stocks they believe could provide strong returns right now, and astonishingly, Nvidia isn’t on that list. These alternatives might offer better opportunities based on their assessment of future performance.
It’s worth noting that if you had invested $1,000 in Netflix when it was first recommended back in 2004, you would have $603,392 today, which is quite impressive. Similarly, had you done the same with Nvidia back on its initial recommendation in 2005, that $1,000 would now be worth $1,241,236. On the other hand, the overall average returns for that investment advisory service currently stand at 1,072%, which significantly outperforms the S&P 500’s 194% average.
Don’t overlook the latest top ten stock picks from that advisory service, as they are curated with the retail investor in mind.
Consider checking out their recommendations for further insights.
