Amazon Could Outpace Nvidia as AI Investment Over Next 5 Years, Analyst Says

Nvidia's stock has climbed 628 percent in eighteen months, a staggering run that has made the chipmaker the undisputed leader of the artificial intelligence boom. The company controls roughly eighty percent of the market for AI chips, the specialized processors that power everything from large language model training to machine learning applications. Its revenue, margins, and cash flow have all reached record levels. Yet one analyst argues that another member of the so-called Magnificent Seven—Amazon—presents a more compelling investment opportunity over the next five years, despite Nvidia's current dominance.

The case for Nvidia's strength is straightforward. The company sits at the intersection of two critical AI infrastructure needs: the graphics processing units that do the computational heavy lifting, and the data center network services that connect them. This positioning has given Nvidia enormous pricing power and a moat that appears nearly unassailable in the near term. But the longer view reveals cracks. Advanced Micro Devices and Intel are both developing alternative GPU offerings. More significantly, Amazon and Meta Platforms are building their own proprietary chips, an effort to reduce their dependence on Nvidia's expensive hardware. While neither company is likely to abandon Nvidia anytime soon, the trajectory suggests that Nvidia's largest customers could become less important sources of growth within several years.

Amazon's appeal lies in its structural diversity and the scale at which it can deploy artificial intelligence across its operations. The company is best known for its e-commerce marketplace and Amazon Web Services, its cloud computing division, but it also operates streaming services, grocery delivery, and advertising businesses. This ecosystem gives Amazon a unique advantage: the ability to weave AI capabilities throughout its entire enterprise, amplifying its reach in ways a pure-play chipmaker cannot.

The company has already made significant moves to support this vision. It invested four billion dollars in Anthropic, an AI startup that uses AWS as its primary cloud provider and trains its generative AI models on Amazon's homegrown chips. More recently, Amazon committed eleven billion dollars to building out data centers—a signal, the analyst argues, that the company is serious about reducing its long-term reliance on Nvidia. These investments are not expected to generate substantial returns for years, but they represent the groundwork for a new phase of growth.

The financial positions of the two companies tell different stories about their capacity to sustain momentum. Nvidia is currently enjoying triple-digit revenue and profit growth, but the analyst expresses skepticism that the company can maintain such velocity indefinitely. Competition will eventually force customers to diversify their AI infrastructure, complementing Nvidia services with offerings from other vendors. This shift would likely decelerate Nvidia's revenue and profitability over time. Amazon, by contrast, holds more than fifty billion dollars in free cash flow and eighty-four billion dollars in cash and equivalents. This financial cushion gives the company flexibility to continue aggressive investment in AI infrastructure without sacrificing other priorities.

Valuation multiples also favor Amazon. Nvidia trades at a significant premium to the broader market, suggesting that much of its future growth is already reflected in its stock price. Amazon, the analyst contends, is undervalued relative to its position in the AI landscape. The company's role in this transformation remains underappreciated by investors, creating an opportunity for those willing to hold for the long term. The argument is not that Nvidia is a poor investment—both companies operate from positions of strength—but that Amazon's diversified business model, financial resources, and integrated approach to AI give it better odds of outpacing the chipmaker over the next five years.