Nasdaq Sell-Off: 2 AI Stocks That Are on Sale in 2025

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The Nasdaq Composite has had a dream run in the past two years, buoyed by declining inflation, interest rate cuts, and a solid artificial intelligence (AI) boom. However, that momentum seems lost now, considering the tech-heavy index has declined about 10% in 2025. The U.S. market is now concerned about a potential U.S. recession and the impact of new trade policies -- fears that the Trump administration has failed to calm.

In the face of heightened market volatility and low investor confidence, some prominent analysts expect the Nasdaq to see even more selling in the coming days. While this pullback is worrisome, it can also prove to be a smart time to buy stakes in some fundamentally strong Nasdaq stocks that have seen a significant correction.

Here's why Nvidia (NASDAQ: NVDA) and Microsoft (NASDAQ: MSFT) fit the bill. Let's assess why these stocks could prove compelling picks now.

Nvidia released a strong fiscal 2025 performance (ended Jan. 31, 2025) on Feb. 26, with revenue growing 114% year over year to $130.5 billion and operating income rising 147% to $81.5 billion. While the company faces gross margin pressures due to the ongoing ramp of Blackwell architecture chips, it expects gross margins to revert to mid-70s levels in fiscal 2026.

Blackwell architecture chips are undoubtedly a major growth catalyst for Nvidia and contributed $11 billion in sales in the fourth quarter. These chips have been designed mainly for inference (deploying and running AI models) and reasoning workloads, with 25 times higher token output and 20 times lower cost than previous H100 chips. Reasoning is a special use case in inference workloads, involving more computation per task for resolving complicated and multistep problems.

Besides inference, Blackwell architecture has been optimized for all other AI workloads, including pre-training and post-training deployed across cloud, on-premise, and enterprise. Unsurprisingly, major cloud service providers, such as Microsoft, Meta Platforms, and Alphabet, are using Blackwell graphics processing units (GPUs) to process their AI workloads.

Nvidia accounted for almost a 92% share of the data center GPU market (AI hardware market) in 2024. The company has also created a strong moat for its hardware business with its Compute Unified Device Architecture (CUDA) software stack (a comprehensive parallel programming development environment optimized for running AI and high-performance computing workloads on Nvidia chips).

Since CUDA is already well-adopted by developers and AI researchers globally, switching to competitors' chips can involve significant costs for client organizations. Subsequently, Nvidia's hardware-software offerings are finding applications in new use cases in areas such as agentic AI, robotics, sovereign AI, and autonomous vehicles.


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