Prediction: This Powerhouse AI Stock Will Join Nvidia, Broadcom, Tesla, and Others in the $1 Trillion Club Within 4 Years

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The U.S. economy has a remarkable track record of producing the world's most valuable companies:

  • United States Steel became the first $1 billion company in 1901.

  • General Motors rode the automotive boom to become the first-ever $10 billion company in 1955.

  • General Electric, which manufactures refrigerators and airplane engines, among many other things, became the world's first $100 billion company in 1995.

  • Apple hit the most significant milestone to date when its valuation crossed $1 trillion for the first time in 2018, thanks to the success of devices like the iPhone.

Apple is still the world's largest company, with a market capitalization of $3.7 trillion. But since 2018, seven other American technology companies have joined it in the trillion-dollar club: Microsoft, Nvidia, Amazon, Alphabet, Meta Platforms, Tesla, and Broadcom.

I think one more company is set to earn its membership in this club within the next four years. Some of the biggest artificial intelligence (AI) developers in the world are lining up to rent Oracle's (NYSE: ORCL) industry-leading data center infrastructure, and this part of its business could grow more than tenfold, according to management's guidance.

Oracle's market cap is $463 billion as of this writing, so if it does join the $1 trillion club in four years, as I predict, investors who buy its stock today could earn a very nice return of 116%.

Oracle's data centers are hot property right now

Nvidia CEO Jensen Huang predicts data center operators like Oracle, Microsoft, and Amazon will spend $1 trillion over the next four years on upgrading their infrastructure to meet demand from AI developers. That involves filling them with thousands of graphics processors (GPUs), which are specialized chips designed to ingest and process mountains of data for AI workloads.

Nvidia supplies the most powerful GPUs in the industry. And Oracle's Cloud Infrastructure (OCI) supercluster technology enables developers to scale up to 65,000 of Nvidia's H200 GPUs, which is the highest number in the industry. To put it simply, access to more chips can enable developers to build and deploy larger models, which translates into "smarter" AI software.

OCI's random direct memory access (RDMA) technology also allows data to flow from one point to another much faster than traditional Ethernet networks. And since most developers rent computing capacity by the minute, faster processing can equal major cost savings.

During its recent fiscal 2025 second quarter (ended Oct. 31), Oracle said GPU use climbed by 336% compared to the same period in fiscal 2024, which speaks to how quickly demand is ramping up. So far, OCI's infrastructure has attracted top AI start-ups like Cohere, OpenAI, and Elon Musk's xAI.