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Where Will Nvidia Stock Be in 1 Year?

July 6, 2025
08:00 AM
4 min read
AI Enhanced
stockstechnologyartificial intelligencemarket cyclesseasonal analysismarket

Key Takeaways

Long-term is usually the key to sustainable stock market returns. But a company's short-term risks and opportunities can reveal early clues on how the whole story will play out. Let's dig deeper...

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4 min read

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investment

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Published

July 6, 2025

08:00 AM

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The Motley Fool

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Key Topics
stockstechnologyartificial intelligencemarket cyclesseasonal analysismarket

Long-term is usually the key to sustainable stock market returns

But a company's short-term risks and opportunities can reveal early clues on how the whole story will play out

Let's dig deeper to see how competition in the artificial intelligence (AI) industry and a push for sovereign AI could affect Nvidia's (NVDA 1. 28%) performance over the next year and beyond

Nvidia is still the king of generative AI Make no mistake, Nvidia is still the king of the generative AI training and inference chip industry with an incredible market of 80% to 90%

The company maintains its economic moat with a combination of constant innovation, support software, and a developer community that is accustomed to using its ducts

That said, when you are already at the top, there is only one way to go: down

That isn't to say Nvidia's is crashing, because it isn't

First-quarter revenue jumped 69% year over year to $44. 1 billion, which is a healthy expansion driven by the continued rollout of the company's new Blackwell-based AI chips

However, this is a stark deceleration compared to the 262% growth rate Nvidia experienced this time last year

Some observers will chalk up Nvidia's relatively lackluster first-quarter performance to challenges in China, where the Trump administration's policy effectively its imports of H20 chips into the country (causing a $4. 5 billion impairment charge related to excess inventory)

However, this may be the start of a longer-term trend, a little closer to

Nvidia's clients are becoming its rivals Historically, Nvidia has managed to sell its hardware at gross margins pushing 80%, which is a level typically seen with software companies that don't sell physical ducts

These immense mark-ups create an incentive for Nvidia's biggest clients (many of which are nology leaders in their own right) to replace its ducts wherever possible

OpenAI has been particularly aggressive in its efforts to diversify its supply chain

In February, OpenAI began finalizing designs with Taiwan Semiconductor Manufacturing to fabricate its first custom AI chip to help run and train its AI workloads without relying on Nvidia hardware

Custom chips are a particular threat to Nvidia's model because they can be more cost-effective for specialized use cases compared to Nvidia's one-size-fits-all solutions

And OpenAI expects to have its new chips ready for mass duction in 2026

Other major clients Alphabet and Amazon already make in-house chips, which are offered for client workloads alongside Nvidia hardware through their respective cloud computing platforms, Google Cloud and AWS

Image source: Getty Images

What will the next year have in store

While Nvidia has a great deal of near-term challenges, it also has opportunities

One of the biggest of these may be a concept called sovereign AI, which involves helping countries control their own AI data, hardware, and infrastructure without over-relying on foreign companies (mainly in the U

For many countries, this is important because their unique linguistic, cultural, and political situations may not be well served by large language models developed elsewhere

So far, Nvidia has received a warm reception while pioneering this idea in Europe, where it is helping France, Italy, and the U

Deploy thousands of Blackwell systems with the help of local partners

Nvidia is also making gress in the Middle East, where it is working with a Saudi partner, HUMAIN, to build what it calls AI factories using its hardware

The sheer scale of these jects (the deal with HUMAIN may involve 5,000 Blackwell chips) could help Nvidia counteract the potential declines in private sector demand for its ducts

That said, this story is just getting started

And it is un if the soverign AI concept will fully catch on

Investors should bably wait for more information before considering a position in the stock

John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool’s board of directors

Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool’s board of directors

Will Ebiefung has no position in any of the stocks mentioned

The Motley Fool has positions in and recommends Alphabet, Amazon, Nvidia, and Taiwan Semiconductor Manufacturing

The Motley Fool has a disclosure policy.