2 Pick-and-Shovel AI Stocks Powering the Data Center Boom

Vertiv reported Q1 net sales up 30% year over year, with adjusted operating margin rising more than 4 percentage points to 20.8%, and management guiding to 29% to 31% organic sales growth in 2026. Texas Instruments said first-quarter revenue rose 19% year over year, with data center revenue up 90%, underscoring AI-driven demand for power and analog chips. The article is broadly bullish on both names as pick-and-shovel beneficiaries of the data center build-out, though it is opinion-driven rather than new company-specific news.

Analysis

The market is still treating AI infrastructure as a semiconductor-only trade, but the next leg is increasingly about bottlenecks in power delivery, thermal management, and rack-level reliability. That matters because these are harder-to-displace, qualification-heavy businesses: once a hyperscaler standardizes a design, the revenue stream tends to compound through refresh cycles, spares, and service attach rather than just one-time capex. The second-order winner is likely the industrials/electrical ecosystem around the data center, while commodity exposure in the chip space may lag in relative performance if spend keeps broadening beyond GPUs.

Vertiv looks like a higher-beta expression of that thesis because margin expansion can outpace revenue growth if mix shifts toward service and higher-value systems. The key watch item is whether backlog converts cleanly into margin without procurement or installation friction; if lead times normalize too quickly, the stock can derate even with strong top-line growth. TXN is more interesting as a slower-burning re-rating story: data-center exposure can help offset cyclicality elsewhere, but the market may still underappreciate how much the analog content per AI rack rises as power density increases and socket count expands.

The contrarian view is that the consensus is probably right on direction but too linear on timing. Hyperscaler capex can wobble quarter to quarter, and both names are vulnerable if cloud providers briefly pause orders after a big build wave or if AI monetization disappoints and triggers budget scrutiny. That said, the setup still favors buying dips rather than chasing breakouts, because the earnings revision cycle appears to be early rather than late.

Key Decisions for Investors

• Long VRT on 1-3 month pullbacks; use it as the cleaner high-beta proxy for AI power/cooling spend. Risk/reward favors a 2:1 setup if hyperscaler capex stays elevated and margin expansion holds.
• Build a relative-value pair: long VRT / short a basket of legacy industrial names with weaker data-center exposure over the next 2-4 quarters. Thesis: market is underpricing mix-driven margin expansion in mission-critical infrastructure.
• Long TXN on a 6-12 month horizon as a lower-volatility AI infrastructure compounder. Prefer entry on weakness because the re-rating is more likely to come from estimate upward revisions than headline growth acceleration.
• For options, consider VRT call spreads 3-6 months out instead of outright shares if implied volatility remains elevated. This captures upside from continued AI spend while limiting drawdown if capex pauses.
• Avoid treating NVDA as the only AI beneficiary in the basket; use any AI semi strength to rotate part of exposure into pick-and-shovel infrastructure names with stickier demand and lower product obsolescence risk.