5 Under the Radar AI Chip Stocks Powering the Data Center Boom - 24/7 Wall St.

**Skyler Monroe** (0:10)
Hey, everyone, welcome back to the AI Hardware Show. I'm your host, Skyler Monroe, and this is the place where we dig into the chips, the silicon and the infrastructure that's literally powering the AI revolution. Big thanks to our sponsors, LimitLess AI, helping businesses actually put AI to work in their day-to-day workflows, and Ago Consulting, that's Ago Consulting, your go-to team for silicon development strategy. Today, we've got a packed episode we're talking about under the radar chip stocks, TSMC getting overwhelmed by packaging demand, a rough day for semiconductor stocks, a $350 million bet against Nvidia's dominance, and TSMC's next-generation packaging roadmap. Let's get into it. All right, kicking things off, 24-7's Wall Street put out a piece highlighting five under-the-radar AI chip stocks that are quietly riding the data center boom. Now when most people think AI chips, they immediately go to Nvidia, maybe AMD, maybe Intel. And look, those are absolutely the big names for good reason. But the data center buildout is so massive right now that it's lifting a whole ecosystem of companies that don't always make the headlines.
Think about it this way, when there's a gold rush. Yeah, the big mining companies make a fortune, but so do the people selling pickaxes, shovels, water pumps and boots. That's the dynamic we're seeing in AI infrastructure right now. There's an enormous supply chain behind every GPU cluster that gets deployed. You've got companies making power management chips, networking silicon, memory controllers, specialized inference accelerators. All of these are essential pieces of the puzzle. And a lot of the companies making these components are flying under the radar because they're not selling the flashy 100 that everyone talks about. But here's the thing, they're often more profitable in certain segments because they face less direct competition. The demand signal is undeniable. Hyperscalers like Microsoft, Google, Amazon and Meta are spending hundreds of billions of dollars on data center buildouts. That CapEx has to flow somewhere, and it flows through this entire ecosystem.
Now, I'd encourage anyone interested in this space to dig into that article. You can find the link in show notes, but the broader takeaway is really important. The AI hardware opportunity is not a one or two company story. It's a rising tide, and there are boats out there that haven't been spotted yet. For engineers and investors listening, it's worth paying attention to who's winning in the unglamorous but critical parts of the stack. Power delivery, cooling silicon, high-speed interconnects. That's where some really interesting plays are hiding right now. Okay, story number two, and this one is genuinely fascinating if you're into semiconductor manufacturing, which if you're listening to this show, I'm guessing you are. So TSMC is struggling to keep up with demand for its COOS packaging technology, and that overflow is actually creating opportunities for Intel and other Taiwanese fabs. Let me explain what COOS is, because this is one of those terms that gets thrown around a lot without much context. COOS stands for chip on wafer on substrate. It's an advanced packaging technology, and the reason it matters so much for AI is that it's the method used to connect logic chips, like GPS with high bandwidth memory or HBM on a single package. Think of it like this. Imagine you have a really powerful CPU in the middle of a table, and you need to connect it to a bunch of RAM chips sitting around it. In a traditional setup, those connections go through a circuit board, which is kind of like communicating through the postal service. It works, but it's slow and the bandwidth is limited. COOS is like building a direct highway system between those chips using something called an interposer, essentially a silicon bridge that allows massive amounts of data to flow at incredible speeds with very low power. This is why Nvidia's H100 and H200 GPS can push such insane memory bandwidth numbers. COOS is a huge part of that. Now TSMC has been the dominant player in this space, but AI demand has gotten so intense that they literally cannot build this stuff fast enough. So customers who can't get TSMC capacity are now knocking on Intel's door, specifically Intel Foundry Services and other Taiwanese packaging shops.
This is actually a significant moment for Intel, which has been trying to reposition itself as a serious Foundry competitor.
Getting COOs overflow business is a real, tangible proof point that their packaging capabilities are being taken seriously. For the broader industry, this is a reminder that the bottleneck in AI isn't always the chip design itself. Sometimes it's the incredibly complex manufacturing and packaging process that turns great chip designs into actual shipping products.
Advanced packaging is the new front line of semiconductor competition, and it's going to be a defining battleground for the next decade.