5 Stocks Winning the AI Race While Everyone Watches NVIDIA

Why It Matters

The identified firms supply the essential hardware that will enable AI data centers to scale, meaning their growth is tied directly to the trillion‑dollar AI economy. As hyperscalers lock in multi‑year contracts for power and cooling, these infrastructure players become critical, high‑margin growth engines for the broader market.

Key Takeaways

• Micron leads U.S. HBM supply, 2025 capacity sold out
• Coherent Corp. gains $2B NVIDIA stake for photonics
• Vertiv provides liquid cooling for AI chips, price dip offers entry
• Constellation Energy revives nuclear plant for AI power, $1.6B investment
• Eaton backs grid infrastructure, backlogs grow with data center demand

Pulse Analysis

The AI boom is no longer just a story about GPUs; it’s a race to build the physical backbone that can sustain trillions of dollars in compute. By 2027, hyperscalers such as Microsoft, Alphabet, Amazon and Meta could spend close to $1 trillion on data‑center infrastructure, driving demand for high‑bandwidth memory, ultra‑fast photonic links, and massive power delivery. These needs expose a series of bottlenecks—what TradeSmith calls "choke points"—that are reshaping capital allocation across the technology sector.

At the heart of the memory bottleneck, Micron Technology stands alone as the sole U.S. producer of high‑bandwidth memory (HBM). Its 2025 HBM capacity sold out before the year began, and commitments for 2026 are already in place, positioning the company for multi‑year revenue growth as NVIDIA rolls out HBM4‑based Rubin GPUs. Meanwhile, Coherent Corp. has become the de‑facto supplier of silicon photonics transceivers, a critical component for moving data between chips at light speed; NVIDIA’s $2 billion equity stake underscores the strategic importance. Vertiv’s liquid‑cooling solutions, which move heat 3,500 times more efficiently than air, address the thermal challenges of 1,200‑watt AI chips, while Constellation Energy’s $1.6 billion nuclear revival project secures baseload power for AI farms. Eaton, with its century‑long expertise in transformers and switchgear, is already seeing a backlog surge as utilities scramble to connect new data‑center sites.

For investors, these five companies represent a diversified exposure to the AI infrastructure value chain, each anchored by long‑term contracts and sizable market caps that mitigate speculative risk. The current pullbacks—Vertiv’s 10% dip and Eaton’s flat performance—offer entry points before earnings seasons confirm demand trends. As the grid, power, cooling, memory, and photonics layers mature, earnings growth is likely to accelerate, making these stocks attractive for portfolios seeking to capture the next wave of AI‑driven economic expansion.