Will $50,000 Invested in Nvidia Stock Be Worth $1 Million in 10 Years?

In This Article:

Key Points

  • Nvidia shares are up 850% since ChatGPT sparked the artificial intelligence (AI) boom, but most Wall Street analysts still recommend buying the stock.

  • The company is the market leader in AI accelerator chips, but its true strength lies in vertical integration that spans hardware and software products.

  • Seven stocks in the S&P 500 generated such colossal returns in the last decade that they would have turned $50,000 into $1 million.

  • 10 stocks we like better than Nvidia ›

Nvidia (NASDAQ: NVDA) has been a cornerstone of the artificial intelligence (AI) trade for several years. Its share price has increased 850% since January 2023, a period that roughly coincides with the launch of ChatGPT. But Wall Street is still overwhelmingly bullish on the semiconductor company.

Angelo Zino at CFRA Research thinks Nvidia "will be the most important company to our civilization over the next decade." More broadly, among 73 analysts following Nvidia, the median 12-month target price is $175 per share. That implies 25% upside from its current share price of $140.

Could Nvidia stock turn $50,000 into $1 million over the next decade? Here are my thoughts.

U.S. currency overlaid with an upward-trending green arrow.
Image source: Getty Images.

The investment thesis for Nvidia is bigger than AI chips

What sets Nvidia apart is vertical integration. The company has over 90% market share in data center graphics processing units (GPUs), chips that accelerate complex workloads such as artificial intelligence (AI). But the company supplements its GPUs with adjacent hardware like CPUs, interconnects, and networking equipment.

Nvidia also develops software products. AI Enterprise is a suite of tools, code libraries, and pretrained models that streamline the development of AI applications for use cases like autonomous robots, conversational agents, and optimization systems. CrowdStrike uses those tools to power threat detection capabilities on its cybersecurity platform.

Similarly, Omniverse is a software platform that supports 3D application development. It also serves as a simulation engine that lets engineers generate synthetic data for developing machine learning models. Amazon uses the Omniverse platform to optimize warehouse design and train fulfillment center robots.

Nvidia frequently sets performance records at the MLPerf benchmarks, objective tests that evaluate AI systems on training and inference workloads. That is an important competitive advantage: Nvidia builds the best AI accelerators on the market. But vertical integration reinforces that advantage by letting the company design entire data center systems with the "lowest total cost of ownership," according to CEO Jensen Huang.