1 Unstoppable Stock That Could Join Nvidia, Apple, and Microsoft in the $3 Trillion Club in 2025


American stock exchanges currently host eight American technology companies with valuations of $1 trillion or more, but only three have graduated into the $3 trillion club so far:

  1. Apple: $3.7 trillion

  2. Nvidia: $3.3 trillion

  3. Microsoft: $3.3 trillion

Amazon (NASDAQ: AMZN) is the world’s fourth-largest company, at this writing, with a market capitalization of $2.4 trillion. Its stock has soared by more than 50% this year and trades at an all-time high. The company’s strong cloud growth, soaring profits, and leadership position in artificial intelligence (AI) have contributed to the solid gain.

Below, I’m going to explain why Amazon has a legitimate mathematical path to becoming the newest member of the $3 trillion club in 2025.

Amazon is the world’s largest e-commerce company, but it also leads the cloud computing industry through its Amazon Web Services (AWS) platform. It provides businesses with hundreds of services to help them operate in the digital age, from simple data storage to complex software development tools.

However, AWS is also home to many of Amazon’s AI initiatives. Its goal is to dominate the three core layers of AI: Hardware, large language models (LLMs), and software, in order to become a one-stop shop for developers and businesses.

In the third quarter of 2024 (ended Sept. 30), AWS generated a record $27.4 billion in total revenue, which was a 19% increase from the year-ago period. That growth rate has accelerated during 2024, and AI is a big reason why.

Amazon CEO Andy Jassy said the AI business within AWS grew by a triple-digit percentage during Q3 compared to the year-ago period. He also said it’s growing three times faster than the cloud division did at the same stage of its lifecycle.

A chart of Amazon Web Services quarterly revenue and growth rates.
A chart of Amazon Web Services quarterly revenue and growth rates.

Circling back to the three AI layers, AWS operates data centers filled with Nvidia’s latest AI chips, and it rents the computing capacity to customers for a fee. The company also designed its own chips, which are called Trainium (for AI training) and Inferentia (for AI inference workloads). Amazon says developers can save 50% on training costs by using Trainium1 compared to competing chips, and with Trainium2 now rolling out, those savings could increase even more.

Many developers prefer using ready-made LLMs from third parties rather than building their own because it saves time and money. On the Bedrock platform in AWS, they can access the Titan family of LLMs, which Amazon built in-house. But Bedrock also hosts the latest LLMs from industry-leading companies like Anthropic and Meta Platforms, so customers have no shortage of options. That covers the second layer.



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