October was a rough month for AI-related stocks, and the pain was felt acutely in the infrastructure corner of the market. Names like Vertiv, Eaton, and GE Vernova—companies that make the physical building blocks of the AI boom—saw their shares slide as investors rotated out of high-flying tech names. But for those who look beyond the daily price action, there's a crucial detail that's being overlooked: these companies aren't the ones borrowing heavily to fund AI projects. They're the ones selling the equipment that makes those projects possible.
The October selloff: what happened?
October's market turbulence hit AI infrastructure stocks hard. The selloff was part of a broader pullback in technology and growth-oriented shares, driven by concerns about interest rates, valuations, and the pace of AI adoption. For investors holding thematic baskets—like those focused on data centers or the global grid upgrade—the decline was a stark reminder that even the most promising long-term trends can experience short-term volatility.
The two baskets mentioned in the brief are built around two interconnected themes: the buildout of data centers to support AI workloads, and the modernization of the electrical grid to handle the massive power demands of those facilities. Both are essential to the AI revolution, but they're also capital-intensive and tied to multi-year project cycles.
Why the order books matter
The key insight that many investors are missing is the difference between companies that need to borrow to build AI projects and those that sell the equipment to make those projects happen. The latter group—Vertiv, Eaton, GE Vernova, and their peers—are not taking on massive debt to fund speculative ventures. Instead, they're supplying turbines, cooling systems, transformers, and switchgear into projects that are already contracted and under construction.
These projects take years to build and even longer to pay off, which means the revenue streams for these equipment makers are relatively predictable. An order booked today might not show up in revenue for several quarters, but it provides a level of visibility that many other tech companies can't match. This is a fundamental difference that can make these stocks more resilient than they appear during a selloff.
What it means for investors
For everyday investors, the October decline in AI infrastructure stocks is a reminder that volatility is a normal part of investing in growth sectors. But it's also an opportunity to reassess the fundamentals. If you're holding a diversified portfolio that includes exposure to these themes, the selloff doesn't necessarily mean the thesis is broken. The demand for data centers and grid upgrades is still being driven by long-term trends like cloud computing, AI, and electrification.
That said, it's important to understand the risks. These companies are not immune to economic downturns, supply chain disruptions, or changes in technology. And while their order books are strong today, that could change if AI spending slows or if projects are delayed. Investors should also be aware that the stocks in this space can be more volatile than the broader market, as they're often priced for growth.
One way to think about it: the selloff might be a buying opportunity for those with a long-term horizon, but it's not a reason to abandon a well-thought-out investment plan. As always, diversification is key. If you're already exposed to AI infrastructure through a thematic basket or individual stocks, consider whether the decline has brought valuations to a level that aligns with your risk tolerance.
Looking ahead
Investors will be watching several factors in the coming months. First, earnings reports from these companies will provide a clearer picture of whether order books are translating into revenue growth. Second, any signs of a slowdown in AI capital expenditure from the big tech companies could weigh on the entire sector. Finally, interest rates and broader market conditions will continue to play a role in how these stocks are valued.
For those who are considering adding to their positions, the current pullback may offer a more attractive entry point than earlier in the year. But it's always wise to do your own research and consider how any investment fits into your overall portfolio. The AI infrastructure story is far from over, but it's not without its bumps along the way.
If you're looking for related reading, check out our analysis of why Treasuries are proving a safe haven as AI stocks slide, or our piece on three stocks that could thrive without a single AI breakthrough. For a broader market view, see how oil's slide lifted stocks but left October's wounds lingering.
