Will Nvidia Stock Drop After Feb. 26? A Closer Look at AI Investment Risks

Nvidia is one of the biggest names in artificial intelligence (AI), and its stock has soared as tech giants like Microsoft, Amazon, and Meta pour billions into AI data centers. However, some experts believe that this AI spending spree may not last forever, which could put Nvidia’s stock at risk.

Nvidia will release its latest earnings report on Feb. 26, and investors are expecting strong results. The company has dominated the AI chip market, while its competitor AMD has struggled. But while demand for AI accelerators is high, there are concerns that this growth might not be sustainable.

Tech companies are spending massive amounts of money to expand their AI capabilities. Microsoft plans to invest $80 billion this year, Amazon is increasing its capital spending to $100 billion, and Meta is putting $65 billion into AI-related infrastructure. While this sounds like great news for Nvidia, experts warn that these investments must generate real profits to be worthwhile.

The key question is whether AI will create enough new revenue or cost savings to justify this massive spending. If companies fail to see strong returns, AI demand could drop sharply in the coming years. Additionally, some companies, like China’s DeepSeek, are developing cheaper AI models that could reduce the need for Nvidia’s high-powered AI chips.

Right now, Nvidia is valued at over $3 trillion, and its stock trades at more than 40 times expected earnings for 2025. This high valuation depends on AI growth continuing at an extremely fast pace. If Nvidia’s earnings report or future outlook fails to meet investors’ expectations, the stock could take a hit.

While Nvidia remains a leader in AI technology, some analysts believe the company may be reaching its peak. If the AI investment boom slows down or companies fail to profit from their AI infrastructure, Nvidia’s stock price could face a sharp decline. Investors will be watching closely when Nvidia reports earnings on Feb. 26 to see if the AI hype continues—or if reality starts to set in.