The Current Landscape of AI Stocks: A Focus on Nvidia and Microsoft

Nvidia and Microsoft have emerged as pivotal players in the artificial intelligence (AI) sector, with Nvidia specializing in data center GPUs and Microsoft holding a significant stake in OpenAI, the creator of ChatGPT. From 2020 to 2025, Nvidia's stock surged by 3,070%, while Microsoft's increased by 207%. However, in 2026, Nvidia's stock has only risen by 8%, and Microsoft's has plummeted nearly 60%. This downturn is attributed to inflation concerns, the Federal Reserve's hesitance to lower interest rates, and geopolitical tensions, particularly in the Middle East, which have led investors to seek safer investment options.

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As the AI market matures, there is a noticeable shift from training AI algorithms to inference applications, which utilize trained data for practical tasks. Currently, many AI companies are investing more in inference than in training. This trend benefits companies like Broadcom, which develops specialized circuits for AI inference tasks. Additionally, firms are increasingly purchasing data center CPUs from Intel to support these inference operations, marking a significant pivot in AI infrastructure investment.

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Joel Greenblatt, a notable investor, has increased his stakes in several AI companies, including Nvidia, which he views as a direct bet on the AI buildout. Nvidia's revenue for Q4 FY2026 reached $68.1 billion, reflecting a 73% year-over-year increase, with data center revenue growing by 75%. Greenblatt's portfolio also includes Apple, Amazon, and Snowflake, each representing different facets of the AI landscape. For instance, Amazon is investing approximately $200 billion in AI infrastructure, while Snowflake, despite a 30% decline in stock value this year, continues to show strong fundamentals.

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Market analysts suggest that the current pullback in AI stocks presents a buying opportunity for long-term investors. They argue that despite short-term volatility, the AI sector is poised for significant growth, with projections indicating a compound annual growth rate (CAGR) of 30.6% from 2026 to 2033. This growth is expected to be driven by the increasing adoption of generative AI and agentic AI solutions across enterprises.

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Despite the optimistic outlook, some analysts caution that the rapid expansion of AI infrastructure spending may not sustain its current pace. Concerns exist that if AI spending decelerates more quickly than anticipated, it could compress valuations across the sector, impacting companies like Nvidia, Microsoft, and others in Greenblatt's portfolio.

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• “While some conversations might focus on Magnificent Seven companies like Nvidia and Microsoft, all of these companies still have plenty of room to expand without trampling each other.” — Analyst, Source

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• “If Snowflake becomes a core data layer for AI applications, the current valuation could look more attractive in hindsight.” — Analyst, Source

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The AI market is currently experiencing a complex interplay of growth potential and market volatility. Investors are advised to consider the long-term implications of their investments in AI stocks, particularly in light of shifting spending patterns and the broader economic environment. As companies adapt to these changes, the landscape of AI investment continues to evolve, presenting both opportunities and challenges for stakeholders.

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