Beyond NVIDIA: Picks-and-Shovels AI Plays with Strong Momentum

Why It Matters

The shift expands the investment universe from a single‑stock bet to a multi‑segment growth engine, reinforcing AI’s structural impact on the tech economy.

Key Takeaways

• Nvidia's AI dominance slows; investors eye infrastructure stocks.
• Vertiv shares up 100% in 2026, driven by data‑center cooling demand.
• Cadence gains 27% month‑over‑month, fueling AI chip design.
• Ciena records $7 billion backlog, but faces supply constraints.
• All three firms show strong revenue growth forecasts despite valuation premiums.

Pulse Analysis

The AI boom is evolving from a Nvidia‑centric narrative to a full‑stack ecosystem, where compute, power, cooling, networking, and software all play critical roles. This broader view has given rise to a "picks‑and‑shovels" investment thesis, appealing to capital that seeks exposure to the underlying infrastructure rather than a single chipmaker. By diversifying across the supply chain, investors can capture multiple growth levers while mitigating the volatility that can accompany any one company’s product cycle.

Vertiv (VRT) exemplifies the cooling segment’s surge. Data centers now consume megawatts of power, generating heat that must be efficiently removed to maintain uptime. Vertiv’s 100% stock rise in 2026 reflects strong demand for its thermal‑management solutions, even as Amazon experiments with its own liquid‑cooling technology—a headwind that touches only about 10% of Vertiv’s revenue. Analysts project 33% revenue growth, justifying a forward P/E near 50x despite the premium, and suggesting that the company’s market position remains resilient.

On the design and connectivity front, Cadence Design Systems (CDNS) and Ciena (CIEN) are capitalizing on the AI hardware pipeline. Cadence’s EDA tools are essential for next‑generation chip architectures, driving a 27% share jump after a robust Q1 earnings beat. Meanwhile, Ciena’s optical networking gear underpins the high‑speed links that shuttle petabytes between servers, evidenced by a $7 billion backlog. Supply‑chain constraints could temper short‑term execution, but analysts are raising price targets, indicating confidence in long‑term demand. Together, these firms illustrate how AI’s infrastructure needs are spawning multiple high‑growth, albeit premium‑valued, opportunities.