Forget Picking the Next AI Winner: TSM Lets You Profit From Every Wave of the Revolution

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By Rich Duprey Published

Quick Read

  • TSM posted $40 billion in Q2 revenue, up 39% year over year, with EPS climbing 61% as AI demand continues to outstrip manufacturing supply.

  • CEO C.C. Wei says agentic AI is reviving CPU demand in data centers, and every major architecture runs through TSMC's fabs, including x86, ARM, and RISC-V.

  • TSM manufactures chips for Nvidia, AMD, Apple, Broadcom, and Qualcomm, giving investors AI exposure without betting on which single designer wins.

  • Act now: the analyst who called NVIDIA in 2010 just named his top 10 AI stocks — and Taiwan Semiconductor Manufacturing didn't make the cut. Grab the names FREE today.

Forget Picking the Next AI Winner: TSM Lets You Profit From Every Wave of the Revolution

© Close-up of CPU Chip Processor. Selective Focus. (Shutterstock.com) by Dan74

Artificial intelligence is moving into a new phase. The first wave centered on building massive GPU clusters to train ever-larger models. Now the industry is broadening. Companies are investing in AI memory, networking, storage, and increasingly powerful CPUs to support emerging workloads such as agentic AI. 

That shift matters because it expands the number of semiconductor companies benefiting from AI spending instead of narrowing it. Few businesses are better positioned to capitalize on that trend than Taiwan Semiconductor Manufacturing (NYSE:TSM | TSM Price Prediction), which manufactures chips for nearly every major AI designer regardless of which technology ultimately comes out on top.

AI Growth Is Expanding Beyond GPUs

Taiwan Semiconductor’s second-quarter results underscored just how central the company has become to the AI ecosystem. According to its second-quarter earnings release, revenue climbed to NT$1.27 trillion (about $40 billion), up 36% year over year, while net income surged 77%. Gross margin remained a robust 67.7%, highlighting that demand continues to outstrip supply for the company’s advanced manufacturing capacity.

Those results shouldn’t be viewed as a one-quarter success. Instead, they illustrate how AI demand continues to ripple across the semiconductor industry.

Today’s AI leaders, including Nvidia (NASDAQ:NVDA), Advanced Micro Devices (NASDAQ:AMD), Broadcom (NASDAQ:AVGO), Apple (NASDAQ:AAPL), Qualcomm (NASDAQ:QCOM), and many others, rely on Taiwan Semiconductor’s manufacturing expertise. Whether companies are building GPUs, AI accelerators, networking chips, or custom silicon, many eventually end up at TSM’s fabs.

Let’s look at what that means. Instead of betting on which chip designer will dominate AI over the next decade, investors can own the company building chips for nearly all of them.

Infographic showing TSM at the center of the AI growth ecosystem, with financial charts highlighting 38.6% revenue growth and 58.6% gross margins.
Stop guessing which AI chip will win. All roads lead to one manufacturer currently capturing a 61% surge in profits. © 24/7 Wall St.

The CPU Opportunity Is Only Getting Started

The next growth engine may surprise investors. During the second-quarter conference call, CEO C.C. Wei noted that agentic AI is creating renewed demand for CPUs inside AI data centers. While GPUs remain the primary workhorses for AI training and inference, CPUs coordinate workloads, manage memory, and handle countless supporting tasks.

As Wei explained:

“The AI market continues to be very dynamic. The emergence of Agentic AI is leading to a resurgence in the role of CPUs in AI data centers… no matter what CPU approach is taken, whether it’s x86, ARM-based, or RISC-V architecture, they are almost all TSMC’s customers.”

That’s an important point investors shouldn’t overlook. The CPU market now has multiple growth paths:

CPU Architecture Key Players Why It Matters For TSM
x86 AMD, Intel (NASDAQ:INTC) AI servers continue requiring powerful host CPUs
ARM Nvidia, Ampere, Apple, Amazon (NASDAQ:AMZN) Custom processors are becoming more common in AI infrastructure
RISC-V Numerous startups and hyperscalers Open-source architecture is attracting growing investment

In every case, Taiwan Semiconductor stands to manufacture many of those chips.

Ironically, investors don’t have to predict which CPU architecture wins. If AI demand continues expanding, TSM benefits from higher wafer volumes regardless of whether x86, ARM, or RISC-V captures the largest market share.

Key Takeaway

In short, Taiwan Semiconductor offers investors something increasingly rare: a way to benefit from AI without having to predict which chip company becomes the next superstar.

Granted, risks remain. Semiconductor demand has always been cyclical, geopolitical tensions surrounding Taiwan haven’t disappeared, and AI spending could eventually slow from today’s rapid pace.

That said, the AI opportunity is becoming broader rather than narrower. Memory, CPUs, networking, and custom AI silicon are all seeing growing investment alongside GPUs. Since Taiwan Semiconductor sits at the center of nearly every one of those markets, each new AI trend creates another avenue for growth.

Ultimately, that’s the company’s greatest competitive advantage. AI may evolve in ways nobody fully expects over the next decade. Regardless of whether the future belongs to GPUs, custom accelerators, ARM processors, x86 chips, or RISC-V designs, Taiwan Semiconductor is positioned to manufacture the silicon powering them all. 

For investors looking for one company that can ride nearly every wave of the AI revolution, that’s a compelling place to start.

Contact [email protected] for any questions or corrections.

Photo of Rich Duprey
About the Author Rich Duprey →

After two decades of patrolling the dark corners of suburbia as a police officer, Rich Duprey hung up his badge and gun to begin writing full time about stocks and investing. For the past 20 years he’s been cruising the markets looking for companies to lock up as long-term holdings in a portfolio while writing extensively on the broad sectors of consumer goods, technology, and industrials. Because his experience isn’t from the typical financial analyst track, Rich is able to break down complex topics into understandable and useful action points for the average investor. His writings have appeared on The Motley Fool, InvestorPlace, Yahoo! Finance, and Money Morning. He has been featured in both U.S. and international publications, including MarketWatch, Financial Times, Forbes, Fast Company, and USA Today.

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