This Artificial Intelligence (AI) Infrastructure Stock Could Be the Nvidia of 2026

For the last three years, one piece of hardware has continually earned credit for the rise of generative artificial intelligence (AI) applications: the semiconductor. Naturally, investors sought growth in the companies that design AI chips and the accompanying networking gear that powers them inside of data centers.

Against this backdrop, names like Nvidia, Advanced Micro Devices, and Broadcom have become synonymous with the AI revolution. In recent months, however, investors are beginning to look beyond the usual suspects in the chip realm.

Perhaps the biggest reason for this is rising investment from hyperscalers in AI infrastructure. As big tech pours hundreds of billions of dollars into data center upgrades, investors are starting to ask which companies truly benefit the most from accelerated infrastructure buildout.

GOOGL Capital Expenditures (TTM) Chart
GOOGL Capital Expenditures (TTM) data by YCharts

In my eyes, Taiwan Semiconductor Manufacturing (NYSE: TSM) could be the best choice. Let’s explore Taiwan Semi’s critical role in the AI landscape and assess why the stock could be poised for an Nvidia-style breakout in 2026.

Taiwan Semiconductor (or TMSC) specializes in foundry services. The company’s fabrication facilities serve as the manufacturing output for sophisticated chip designs from Nvidia, AMD, Qualcomm, Apple, and many others. With roughly 68% market share, TSMC is the largest chip foundry in the world as measured by revenue.

What makes Taiwan Semi so unique is that its business stands to benefit from the broader secular trend of rising chip demand. In other words, the company’s diverse customer base makes it less exposed or vulnerable to a particular chip design. Given these dynamics, TSMC acts more as a pick-and-shovel opportunity in the semiconductor industry.

Taiwan Semi building with logo.
Image source: Taiwan Semiconductor Manufacturing.

Analysts at Goldman Sachs recently reported that AI capex among the hyperscalers could reach nearly $500 billion next year. While this figure surely captures the imagination, Beth Kindig of the I/O Fund not only sees capex accelerating next year, but she’s calling for the infrastructure chapter of the AI narrative to be a multi-year opportunity worth several trillion dollars.

I am personally in Kindig’s camp on this one. In just the last few months, a number of large-scale deals have been announced:

#Artificial #Intelligence #Infrastructure #Stock #Nvidia

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