- Nvidia, Microsoft, Broadcom, Alphabet and Amazon enter October with powerful AI, cloud and data-center catalysts, although high expectations remain a key risk.
Technology stocks are heading into October with the artificial intelligence investment cycle still driving much of the market. Several of the industry's largest companies have delivered rapid revenue growth, while upcoming earnings reports could provide a fresh test of whether massive AI infrastructure spending is translating into sustainable profits.
The setup is particularly interesting because the broader market's valuation has moderated even as earnings expectations remain strong. Recent analysis put the S&P 500 forward price-to-earnings ratio at about 19.4, its lowest level since April 2025.
Against that backdrop, five technology stocks stand out for October: Nvidia Corp. (NASDAQ: NVDA), Microsoft Corp. (NASDAQ: MSFT), Broadcom Inc. (NASDAQ: AVGO), Alphabet Inc. (NASDAQ: GOOGL) and Amazon.com Inc. (NASDAQ: AMZN).
These are not guaranteed winners. Each company faces valuation, execution and AI-spending risks. The case for including them is based on their current business performance, exposure to technology spending, and upcoming catalysts.
Nvidia, Microsoft and Broadcom Lead the AI Infrastructure Trade
Nvidia (NVDA) remains one of the most direct ways to gain exposure to the AI infrastructure cycle. The company generated $96.2 billion in fiscal Q2 2027 revenue, up 106% year over year, while Data Center revenue reached $89 billion, up 117%. Nvidia expects fiscal Q3 revenue of approximately $108 billion.
The company's latest results show that demand is still running at an extraordinary level. Nvidia also said its Vera Rubin platform is now in full production, giving investors another product cycle to monitor.
The biggest risk is expectations. Nvidia's market value has approached $6 trillion, meaning continued earnings growth will be critical to supporting the stock's valuation. Wealthier Today's recent Nvidia valuation analysis examines that issue in greater detail.
Microsoft (MSFT) offers a different AI investment profile because its exposure comes through cloud computing, enterprise software and AI services. Microsoft reported $90 billion of fiscal Q4 revenue, up 18%, while net income increased 31%. Its cloud and AI businesses remain central to the company's growth strategy.
Azure has now become a more than $100 billion annual revenue business, while Microsoft's contracted backlog provides another indication of future demand. The stock also gained roughly 39% during the third quarter, making valuation and expectations important considerations heading into October.
Microsoft is scheduled to report its next quarterly results later this month, giving investors a direct opportunity to assess whether AI infrastructure spending is translating into additional cloud revenue and profitability. Current earnings calendars place Microsoft's report around Oct. 28.
Broadcom (AVGO) is another important AI infrastructure play, but its exposure is concentrated in custom accelerators and networking rather than Nvidia-style general-purpose GPUs. Broadcom reported $29.6 billion in fiscal Q3 revenue, an 86% year-over-year increase. AI semiconductor revenue reached $16.7 billion, up 221%, and management expects AI semiconductor revenue to rise to $21.7 billion in fiscal Q4.
Broadcom's position in custom AI chips has become increasingly significant as large technology companies seek processors tailored to their own workloads. Its networking technology also becomes more important as AI clusters expand.
The company is simultaneously becoming more deeply involved in financing AI infrastructure. Recent reports that Broadcom is working on a potential $60 billion financing package for AI chips illustrate how the company is moving further into the infrastructure buildout. The financing remains a proposal rather than a completed transaction.
Alphabet and Amazon Offer Two More Ways to Play AI
Alphabet (GOOGL) could be one of the more interesting large-cap technology stocks to watch in October because its AI exposure extends across search, cloud infrastructure, and its Gemini product family. Alphabet's second-quarter revenue increased 24% year over year, while Google Cloud revenue jumped 82%. Cloud backlog reached $514 billion, according to CEO Sundar Pichai.
The company's valuation has also attracted attention. A recent Wealthier Today analysis found Alphabet trading at a significant discount to its historical valuation levels while its core advertising business continues to generate substantial cash flow.
Alphabet's next earnings report is expected around Oct. 27-28, putting the company among the most important technology stocks for investors to watch during the month.
The key question will be whether accelerating Google Cloud growth and AI adoption can offset the enormous cost of developing and deploying new AI systems. Amazon (AMZN) provides another major route into the AI infrastructure cycle through Amazon Web Services.
AWS revenue increased 37% to $42.2 billion in the second quarter, its fastest growth in 18 quarters. AWS operating income reached $16.6 billion, up from $10.2 billion a year earlier. Amazon's total revenue increased 20% to $200.6 billion.
Amazon is also developing its own AI chips, including Trainium, giving the company greater control over the infrastructure used by AWS customers. The major concern is capital spending. Amazon's trailing 12-month free cash flow was a $7.6 billion outflow, largely because purchases of property and equipment increased sharply as the company invested in infrastructure.
Amazon's upcoming quarterly report, expected around Oct. 29, should therefore be closely watched for AWS growth, AI-related demand and the company's spending plans.
Taken together, these five stocks cover several of the most important parts of the technology market. Nvidia provides direct exposure to AI computing, Broadcom to custom accelerators and networking, Microsoft and Amazon to cloud infrastructure, and Alphabet to cloud, AI models and digital advertising.
For investors considering technology stocks in October, the biggest question may not be whether AI spending continues. It is whether the revenue and earnings generated by that spending can keep pace with the enormous amount of capital flowing into the sector.