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Just realized something interesting about the AI infrastructure play that's been flying under most people's radar. Vertiv just crushed earnings guidance for 2026 and the market reaction tells you everything you need to know about where smart money is rotating.
So here's what caught my attention. While everyone's obsessed with Nvidia and chip stocks, this infrastructure company VRT has quietly delivered 1,400% returns over three years versus Nvidia's 770%. That's not luck. That's structural advantage.
Vertiv basically handles all the behind-the-scenes tech that keeps AI data centers running - power systems, cooling solutions, racks, monitoring infrastructure. Think of them as the picks and shovels in the AI arms race. They work directly with Nvidia solving what's probably the biggest bottleneck in scaling AI right now: thermal management. Liquid cooling is becoming critical because modern AI hardware generates insane amounts of heat.
The guidance numbers are pretty compelling if you're looking at best AI stocks to invest in right now. They're projecting 34% revenue growth in 2026 and 24% in 2027, hitting $17 billion by 2027 - basically doubling from 2024's $8 billion. Earnings are expected to grow 47% this year and 31% next year. The company already grew EPS by 420% between 2020 and 2025.
What's driving this? AI capex is exploding. Taiwan Semi just raised their 2026 capex guidance to $52-56 billion, up from $40.9 billion in 2025. Meanwhile AI hyperscalers are projected to spend roughly $530 billion in capex this year versus $400 billion last year. That's the kind of infrastructure spending that directly benefits companies like Vertiv.
The backlog is apparently record-high and order strength jumped 81% year-over-year, with the Americas and hyperscale data centers leading demand. This isn't cyclical noise - it's broad-based across regions and customers.
Is the stock overheated short-term? Maybe. It's up 50% YTD and trading near highs. But if you're thinking about best AI stocks to invest in for the long game, the fundamentals here are solid. The company's positioned to benefit regardless of how AI tech evolves because data centers will always need power, cooling, and infrastructure no matter what. That's a pretty durable business model.
Some traders might wait for a pullback to the 50 or 200-day moving average if they want better entry points. But honestly, trying to time it perfectly is usually a losing game. The thesis is sound - infrastructure plays tend to outperform when capital spending accelerates like this.
Worth keeping on your watchlist if you're building exposure to best AI stocks. The valuation metrics look reasonable given the growth trajectory, and the structural tailwinds from AI capex expansion seem pretty real.