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Home.forex news reportWant to Buy Artificial Intelligence (AI) Stocks in 2026? These 2 Companies...

Want to Buy Artificial Intelligence (AI) Stocks in 2026? These 2 Companies Could Net You Millions in Retirement.

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  • With demand for its Blackwell chips still sky-high, Nvidia has already unveiled its next-generation AI superchip platform.

  • China is a wild card that could add a catalyst for Nvidia stock to jump.

  • CEO Jensen Huang says he loves another AI beneficiary that’s developing autonomous robots: Serve Robotics.

  • 10 stocks we like better than Nvidia ›

Nvidia (NASDAQ: NVDA) has been a significant winner so far from the artificial intelligence (AI) revolution. That makes sense, as it’s the supplier of the most sought-after high-performance chips needed to train and power AI models.

However, in 2025, shares of numerous other tech companies soared as investors flocked to just about anything related to AI. Investors who want to gain exposure to the trend at this point should look for companies with staying power, though, as in general, life-changing returns come from long-term investing. Nvidia certainly qualifies, and it still looks to have a long runway for growth. Yet I’m also focused on another name in the sector that could be an excellent long-term investment.

Server stacks in a data center with blue lights and worker on laptop in front.
Image source: Getty Images.

Nvidia’s plan to release new and updated hardware on an annual cadence — an acceleration from the 2-year cadence it historically followed — is one reason the stock remains a great holding. In its most recent quarterly report, CEO Jensen Huang stated that “Blackwell sales are off the charts, and cloud GPUs are sold out.” While the Blackwell GPU architecture was announced in early 2024, the first Blackwell GPUs delivered to customers are less than one year old.

Yet Nvidia has already begun production of its next-generation Rubin architecture, which it calls an AI supercomputer.

Here’s how Huang described it when he introduced the platform at this month’s CES conference in Las Vegas: “Rubin arrives at exactly the right moment, as AI computing demand for both training and inference is going through the roof. With our annual cadence of delivering a new generation of AI supercomputers — and extreme codesign across six new chips — Rubin takes a giant leap toward the next frontier of AI.”

The Rubin platform offers several improvements compared to Blackwell. Nvidia is innovating to propel agentic and physical AI, which could be the next wave in AI use cases.

Rubin can enhance advanced AI reasoning and optimize model inference, all at a cost per token that will be as low as one-tenth of the Blackwell platform’s cost per token. That lower cost should attract even more demand, as it can improve profitability for model developers. Developers using the Rubin platform will also be able to train some types of AI models with 75% fewer GPUs, which could accelerate AI adoption, according to the company.



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