Published Date : 27/11/2024
Nvidia (NVDA -1.15%) has been one of the best artificial intelligence (AI) stocks to own in 2023 and 2024. As we approach 2025, the question on investors' minds is will it remain the best AI stock? While it’s impossible to predict the future, there are several key points about Nvidia’s business that could influence its performance in 2025.
Nvidia’s dominance in the AI market is largely due to its best-in-class graphics processing units (GPUs). These GPUs are the backbone of many AI models, providing the computational power needed to process vast amounts of data in parallel. This capability is crucial as AI models become more complex and require more computing power. For instance, Meta Platforms' generative AI model, Llama, is working on its 4.0 version, which will require 10 times more computing power than its current 3.1 release. This trend is not unique to Meta; other tech giants are also expanding their AI computing capabilities, driving demand for Nvidia's GPUs.
Many big tech companies, including Meta, have already announced plans to increase their capital expenditures on AI computing power in 2025. This means that Nvidia’s demand is likely to continue growing, despite it already being priced for significant success.
However, Nvidia’s stock is currently trading at its highest valuation during its recent run. The forward price-to-earnings (P/E) ratio for the next fiscal year (FY 2026) reflects high expectations. Wall Street analysts predict that Nvidia could generate around $193 billion in revenue, representing a 49% increase from the previous year. While this growth is impressive, it raises the question is the current valuation justified?
The answer may depend on what happens in 2026. If the AI build-out continues at its current pace, Nvidia’s clients will keep purchasing GPUs to expand their computing power. This scenario seems plausible, given that we are still in the early stages of AI development. However, some investors believe that 2025 could mark the peak demand for AI computing power, leading to a decline in Nvidia’s sales in 2026. If this occurs, it could negatively impact Nvidia’s stock price as investors may take their gains and exit.
Another possibility is that 2026 will be a continuation of 2025, with steady growth in AI investments. This scenario might be the most balanced, as companies balance their spending on AI infrastructure with their return on investment.
While it’s impossible to predict the exact outcome, I believe the demand for Nvidia’s GPUs will likely fall somewhere between the first and third scenarios. This means Nvidia may continue to be a market-beating stock in 2025, but it may not be the best stock in terms of price appreciation.
In conclusion, Nvidia’s future in 2025 will depend on the continued growth and adoption of AI technologies. While the stock is expensive, the potential for further AI development is vast, making Nvidia a strong contender in the AI stock market.
Q: Why is Nvidia a leading AI stock?
A: Nvidia is a leading AI stock because of its best-in-class graphics processing units (GPUs) that provide the computational power needed for complex AI models.
Q: What is the current valuation of Nvidia's stock?
A: Nvidia's stock is currently trading at its highest valuation during its recent run, with a forward price-to-earnings (P/E) ratio that reflects high expectations for the next fiscal year (FY 2026).
Q: What factors could influence Nvidia's performance in 2025?
A: Nvidia's performance in 2025 will depend on the continued growth and adoption of AI technologies, the demand for GPUs, and the expectations for its revenue in 2026.
Q: What are the predictions for Nvidia's revenue in FY 2026?
A: Wall Street analysts predict that Nvidia could generate around $193 billion in revenue for FY 2026, representing a 49% increase from the previous year.
Q: Is Nvidia still the best AI stock to invest in for 2025?
A: While Nvidia is likely to continue being a market-beating stock in 2025, it may not be the best stock in terms of price appreciation due to its high valuation and the uncertainty around AI demand in 2026.