Big Tech's $4 Trillion Artificial Intelligence (AI) Spending Spree Could Make These 3 Chip Stocks Huge Winners

Key Points

• Nvidia remains the king of AI infrastructure.

• AMD is carving out an important niche with AI inference.

• Broadcom is a networking giant that also has a big opportunity with custom AI chips.

• 10 stocks we like better than Nvidia ›

Nvidia (NASDAQ: NVDA) recently said it expects artificial intelligence (AI) infrastructure spending to jump to between $3 trillion and $4 trillion by the end of the decade. That's just a massive number. Cloud computing and other big technology companies continue to race to build out AI capacity, which puts chipmakers in an enviable position.

Nvidia has been the big winner so far, but it's not the only one. Let's look at the three chipmakers set to benefit most from this $3 trillion opportunity.

Where to invest $1,000 right now? Our analyst team just revealed what they believe are the 10 best stocks to buy right now. Continue »

Nvidia

Nvidia is working at the center of AI. Its graphics processing units (GPUs) went from powering video games to becoming the standard for training large language models, and the company managed to turn that into a wide moat. Its CUDA software platform was the key to this happening. By making it free and getting it into research labs and universities early on, Nvidia ensured that developers learned to program GPUs on CUDA. Once that happened, companies were locked into its software ecosystem.

Nvidia has been just as smart on the networking side as well. Its proprietary NVLink connection allows GPUs to work together as a single unit, a huge benefit with AI workloads. Meanwhile, its acquisition of Mellanox gave it even more strength in networking, ensuring its chips could support increasingly massive AI clusters. The strength of its networking portfolio showed up last quarter, with networking data center revenue nearly doubling to $7.3 billion.

With both software and networking advantages, Nvidia is positioned to continue to be the leader in the AI infrastructure buildout. While it may not hold its 90% GPU market share, it's still the company to beat.

Advanced Micro Devices

Advanced Micro Devices (NASDAQ: AMD) lives in Nvidia's shadow, but the market is shifting in a way that plays to AMD's strengths. Training dominated the first wave of AI, and Nvidia's CUDA gave it the edge. However, inference is now where demand is growing fastest, and AMD has already won some important business here. Several of the largest AI companies are using its GPUs for inference, and it counts seven of the top 10 AI players as customers.

AMD is also part of the UALink Consortium, which is trying to build an open interconnect standard to rival Nvidia's NVLink. If that happens, it could give data centers more options for building out clusters and cut into one of Nvidia's advantages. That's still getting started, but it shows how AMD is working with others to narrow Nvidia's moat.

The company isn't just about GPUs, either. Its EPYC central processing units (CPUs) is gaining share in data centers, and it still has a strong PC and gaming chip business. AMD doesn't need to overtake Nvidia to win. Just getting a bigger slice of inference demand, while keeping its CPU business growing, can make it one of the bigger long-term beneficiaries of the AI buildout.

Image source: Getty Images.

Broadcom

Broadcom (NASDAQ: AVGO) has been taking a different approach when it comes to the AI buildout, but it has also seen explosive data center growth. While Nvidia and AMD battle over GPUs, Broadcom built a strong position in the data center networking space. Its Ethernet switches, optical interconnects, and digital signal processors are critical in moving massive amounts of data, and as AI clusters grow in size, networking needs grow right alongside them. That's why its AI networking revenue jumped 70% last quarter.

However, it may have an even bigger opportunity with custom AI chips. Broadcom has long been a leader in the design of application-specific integrated circuits, and it has recently begun working with hyperscalers (companies that operate massive data centers) that want to boost performance and lower costs by developing chips tailored for their AI workloads.

It helped Alphabet create its tensor processing units, and now it's working with several other large customers on new designs. Management says the three customers furthest along could each deploy 1 million clusters by its fiscal 2027, which would represent a $60 billion to $90 billion opportunity. That number doesn't even include newer relationships, such as the one it's established with Apple.

On top of all that, Broadcom has VMware. The unit is shifting to subscriptions and helping enterprises run AI across hybrid and multicloud environments, providing Broadcom with another avenue of growth. Put everything together, and you have another chip company set to benefit enormously as AI infrastructure spending ramps up.

Should you invest $1,000 in Nvidia right now?

Before you buy stock in Nvidia, consider this:

The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Nvidia wasn’t one of them. The 10 stocks that made the cut could produce monster returns in the coming years.

Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you’d have $651,599!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,067,639!*

Now, it’s worth noting Stock Advisor’s total average return is 1,049% — a market-crushing outperformance compared to 185% for the S&P 500. Don’t miss out on the latest top 10 list, available when you join Stock Advisor.

See the 10 stocks »

*Stock Advisor returns as of August 25, 2025

Geoffrey Seiler has positions in Alphabet. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Apple, and Nvidia. The Motley Fool recommends Broadcom. The Motley Fool has a disclosure policy.