3 Great Stocks to Buy to Benefit From the Next Generation of AI Data Centers Led by Nvidia

Nvidia is driving a shift to 800VDC data centers expected to ramp in 2027, with Barclays saying Vertiv, GE Vernova, and nVent are well positioned to benefit. Vertiv said its 800VDC solutions should commercialize at the start of 2027, with a steady ramp through the year, while Barclays sees minimal near-term impact but upside to AI infrastructure estimates in 2027-2028. The article is constructive for the three named stocks, though the timing suggests the biggest earnings impact may not arrive until 2028 and later.

Analysis

This is less a broad AI capex call than a standards-transition trade: the market is likely underpricing how much value migrates from server OEMs and generic electrical contractors to firms that control the power-delivery bottlenecks. The key second-order effect is margin expansion from design lock-in: once hyperscalers standardize around a high-voltage architecture, the winning vendors get pulled into a multi-year qualification cycle that is harder to displace than typical rack-level components.

The biggest near-term misread is timing. Investors may chase 2027 as if it were an immediate earnings step-up, but the real inflection is probably in ordering behavior 12-18 months ahead of deployment, meaning 2026 should show the first tangible evidence in backlog, design wins, and supply-chain reservations. That argues for owning the enablers before the revenue inflection, not waiting for reported shipments.

Competitive dynamics favor the companies with both software-enabled system design and field-service depth. GE Vernova has a more cyclical utility/gen mix, so the upside is not just AI spend—it is incremental grid-interconnect and generation scarcity pricing that can support a higher backlog multiple. nVent likely has the cleanest operating leverage because liquid cooling and in-rack power are still underpenetrated; if dense AI racks become the default, the attach rate can surprise consensus by several turns of basis points in mix, not just unit growth.

The contrarian risk is that the market is extrapolating one architecture too far. If 800VDC adoption is slower than advertised, or if some customers adopt a hybrid standard, the addressable market fragments and the pure-play winners may see only modest share gains despite a larger AI capex pie. The other risk is supply-chain bottlenecks in power semis, switchgear, and heat-management components, which could push revenue recognition out by quarters even if orders are strong.

Key Decisions for Investors

• Initiate/maintain a tactical long basket in VRT, GEV, and NVT on any 5-10% pullback; use a 6-12 month horizon and expect the first catalyst to be backlog commentary and design-win disclosures, not earnings immediately.
• Pair long GEV vs short a basket of slower-moving industrial electrification names with lower data-center exposure; thesis is that AI-related grid and power scarcity will re-rate the AI-adjacent utility/industrial layer faster than the broader industrial complex over the next 2-4 quarters.
• Buy VRT Jan-2027 or Jan-2028 call spreads rather than outright calls; risk/reward is better if the market spends the next several quarters debating timing while the order pipeline quietly compounds.
• Add NVT on weakness as the highest-upside “picks-and-shovels” expression; if liquid cooling becomes a standard attach, upside can come from mix expansion rather than just volume, making it the best operating leverage story in the group.
• Avoid chasing NVDA here as the cleaner alpha trade; the article is effectively a second-derivative beneficiary setup, so the better risk/reward is in the infrastructure enablers where expectations are still less fully capitalized.