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Forget Nvidia and AMD, This Under-the-Radar Chip Stock Could Win the AI Semiconductor Race

Via Motley Fool

Lee Samaha, The Motley Fool Wed, October 7, 2026 at 6:15 AM EDT 5 min read NVDA +0.14% ON +0.44% AMD +2.80% Explore stocks on Coinbase Trading disclosure Trading disclosure The above button links to Coinbase. Yahoo Finance is not a broker-dealer or investment adviser and does not offer securities or cryptocurrencies for sale or facilitate trading. Coinbase pays us for certain activity generated through this link. Prices displayed are informational.

Most investors already know that there's a massive build-out of AI infrastructure underway and that it's likely to continue at least until 2030. However, the key question for long-term-thinking investors is where to invest as the build-out phase begins to slow and physical AI spending ramps up aggressively, with technologies like autonomous driving and robotics expanding.

One answer is ON Semiconductor (NASDAQ: ON), and the good news is that the stock trades on excellent multiples and is more attractive than better-known AI plays like Nvidia (NASDAQ: NVDA) and Advanced Micro Devices (NASDAQ: AMD).

Missed AI's "Act 1"? Act 2 Could Be 14x Bigger. Most investors think they missed the AI boat because they didn't buy Nvidia in 2005. But according to our analysts, we're only at the end of "Act 1"—the R&D phase. "Act 2" is the global rollout. Continue »

The power and sensing business is best known for its play on power density in its traditional core end markets, namely automotive (mainly electric vehicles and autonomous driving) and industrial. Those two end markets still dominate its sales now.

However, there are three reasons why it's set to be a major player in AI-related spending.

First, it has a fast-growing power chip business selling into AI data centers. In fact, management expects its sales to the AI data center market to grow at a compound annual growth rate of 50% from 2026 to 2030 and hit $2.5 billion. Based on Wall Street estimates, sales of $2.5 billion would represent 19% of its overall sales in 2030. Moreover, the company is a technology partner with Nvidia in building out the architecture for the new 800-volt direct current (VDC) data centers, likely to drive the next phase of investment in AI data centers.

The growing data center exposure is great news for the company and also signals strong medium-term prospects for Nvidia and AMD. But here's the thing: After the initial build-out of AI infrastructure, with massive spending on cloud compute and LLM training, the market is likely to shift toward implementation in the form of physical AI.

Second, management is positioned to be a major player in physical AI spending, driven by its upcoming acquisition of AI compute company Synaptics (NASDAQ: SYNA). ON Semiconductor already has the power, sensing, and control technology to support physical AI solutions, and adding the "brain" of Synaptics's AI edge intelligence solutions will enhance the new company's overall content in physical AI.

It's undoubtedly going to be a fast-growing market, and a good way of understanding it is to compare the AI infrastructure build-out as building training clusters, inference, and language models to make AI function, but given the need for, say, a robot or an autonomous vehicle to make immediate decisions, the necessity of edge compute is essential.

To be clear, Nvidia and AMD are also set to be major players in physical AI. For example, Nvidia builds out models (such as the open-source AI model Alpamayo for autonomous driving) to encourage automakers to buy Nvidia's chips, and AMD's acquisition of Xilinx in 2022 gave it a powerful position in edge computing for physical AI. However, the point is that ON Semiconductor has relatively more exposure to physical AI than Nvidia or AMD.

Third, the growth of physical AI will organically expand ON Semiconductor's market, as it implies increased EV and autonomous vehicle sales (as well as semiconductor content per vehicle) and a host of industrial applications such as robotics and automation.

Management recently held an investor day and outlined its expectations for 12%-14% annual revenue growth through 2030, with free cash flow (FCF) increasing from $1.6 billion to $3.5 billion in 2030. To put that figure into context, the company's market cap is only $32.8 billion at present, and if the company can achieve its aims, driven by growth in AI infrastructure and physical AI, the current price will prove significantly undervalued in my view.

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Lee Samaha has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices and Nvidia. The Motley Fool recommends ON Semiconductor and Synaptics. The Motley Fool has a disclosure policy.

Forget Nvidia and AMD, This Under-the-Radar Chip Stock Could Win the AI Semiconductor Race was originally published by The Motley Fool

Read original at Yahoo Finance News

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