\n\n\n\n Why I'm Skipping Nvidia and Betting on Two Quieter AI Winners - Agent 101 \n

Why I’m Skipping Nvidia and Betting on Two Quieter AI Winners

📖 4 min read•635 words•Updated Apr 14, 2026

Nvidia isn’t getting my money right now, and I’m putting it into Advanced Micro Devices and Broadcom instead.

Look, I get it. Nvidia has been the poster child for AI investing. The stock has delivered returns that made early investors look like geniuses, and the company’s GPUs power most of the AI infrastructure we hear about. But here’s my thinking: the best gains from Nvidia might already be behind us, and there are two other companies positioned to capture what comes next in the AI supercycle.

The Case Against Nvidia (For Now)

I’m not saying Nvidia is a bad company. Far from it. The issue is timing and valuation. When a stock becomes the obvious choice, when everyone knows the story, when it’s already delivered parabolic growth, the risk-reward equation changes. New investors today won’t see the same explosive returns that early believers enjoyed. You’re buying at the top of the hype cycle, not the beginning.

This isn’t about Nvidia failing. It’s about finding better opportunities where the market hasn’t fully priced in the potential yet.

Why Advanced Micro Devices Makes Sense

AMD is riding some of the biggest trends in AI right now, and the market is still treating it like Nvidia’s little sibling. That’s a mistake.

The company has been steadily building its position in AI chips and data center processors. What makes AMD interesting is that it’s not just competing with Nvidia on GPUs. It’s also a major player in CPUs, which means it can offer complete solutions for AI infrastructure. When companies build out their AI systems, they need both types of chips working together.

AMD’s growth trajectory for 2026 looks solid, and it’s coming from a lower valuation base than Nvidia. That means more room to run when the market realizes what’s happening.

Why Broadcom Is My Other Pick

Broadcom doesn’t get the same attention as the chip designers, but it’s absolutely critical to the AI infrastructure buildout. The company makes the networking chips and custom AI accelerators that connect everything together.

Think about it this way: Nvidia and AMD make the engines, but Broadcom makes the transmission and the roads. You can’t have a functioning AI data center without the networking technology that Broadcom specializes in. As AI deployments scale up, the demand for high-speed, high-bandwidth networking explodes.

Broadcom is also leading in custom AI chip design for major tech companies. When hyperscalers want chips tailored to their specific needs, they turn to Broadcom. That’s a high-margin business with long-term contracts and sticky customers.

The Bigger Picture on AI Investing

The AI supercycle isn’t just about who makes the fastest GPU. It’s about the entire ecosystem: chips, networking, power management, software, and services. Nvidia dominated the first wave because it had the right product at the right time. But as the market matures, other players with different strengths will capture their share of the value.

AMD and Broadcom are positioned at critical chokepoints in the AI infrastructure stack. They’re not fighting for the same spotlight as Nvidia, which means they’re flying under the radar for many investors. That’s exactly where I want to be.

My Strategy for 2026

I’m allocating my AI investment dollars to AMD and Broadcom because I believe they offer better risk-adjusted returns than Nvidia at current prices. Both companies are growing, both are essential to AI infrastructure, and both are trading at more reasonable valuations.

This doesn’t mean Nvidia will crash or that it’s a bad investment. It just means that for new money going into AI stocks right now, I see better opportunities elsewhere. The market has already priced in a lot of Nvidia’s success. It hasn’t fully priced in what AMD and Broadcom are building.

Sometimes the smartest move isn’t following the crowd to the obvious winner. It’s finding the companies that will win differently.

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Written by Jake Chen

AI educator passionate about making complex agent technology accessible. Created online courses reaching 10,000+ students.

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