Amazon and Google challenge Nvidia's position in AI chip race

Cát Tiên |

Amazon and Google are accelerating the development of their own AI chips, putting great pressure on Nvidia in the race to control the global artificial intelligence semiconductor market.

During the three years of artificial intelligence boom, Nvidia was almost the default choice for all large-scale AI projects.

The company's chips are present in data centers serving chatbots, image creation tools and many advanced AI platforms.

However, the market situation is gradually changing as Amazon and Google, two of Nvidia's largest customers, are accelerating the development and commercialization of their own AI chips.

According to Andy Jassy (Chairman and CEO of Amazon), Amazon's Trainium AI chip revenue reached "multi-billion USD" in 2025, reflecting the strong growth momentum of the AI semiconductor segment. Amazon has deployed thousands of Trainium chips at a large-scale data center network in Indiana, where these chips are used by Anthropic, one of the world's leading AI companies.

Not standing aside, Google also quickly expanded its AI chip business through tensor processors (TPUs).

According to Hock Tan, CEO of Broadcom (Chip Manufacturing Partner for Google), TPU brought in tens of billions of USD in revenue in 2025 alone. Google also signed many cooperation agreements with Anthropic, supplying chips to new data centers in New York, Texas and many other locations.

In fact, Nvidia is still the "king" of the AI chip market. The company currently controls about 92% of the market share of specialized chips for artificial intelligence and achieved revenue of nearly 200 billion USD in 2025.

With superior scale and software ecosystem, Nvidia is still the top choice of most AI companies globally.

However, what attracts analysts' attention is the strong growth rate of Amazon and Google, which are corporations with financial potential, cloud computing infrastructure and huge user data.

Unlike traditional competitors such as Advanced Micro Devices (AMD) or startups such as Cerebras, Amazon and Google can integrate AI chips directly into their product and service ecosystems, from the cloud to AI platforms.

Anthropic, a major customer of Nvidia, is also looking for ways to reduce dependence on this supplier. The company is promoting diversification of supply sources.

As the two largest investors of Anthropic, Amazon and Google have taken the opportunity to expand AI chip revenue, earning tens of billions of USD from this partnership.

Experts believe that deeper involvement from Amazon and Google could create significant changes in the AI chip market.

When big names like Anthropic use Trainium or TPU chips, it sends a strong signal that Nvidia is no longer the only choice.

This can promote price competition, technological innovation and reduce AI deployment costs in the long term.

Although Nvidia still maintains its dominant position, the AI chip race is entering a more intense stage than ever. With hundreds of billions of USD in revenue and increasing demand for AI, this market promises to continue to be a strategic battlefield between global technology giants.

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