What You'll Learn
- Why the $725 billion AI infrastructure boom is creating opportunities beyond the Magnificent 7
- How five non-tech companies — Amphenol, Vertiv, Quanta, Eaton, and GE Vernova — are essential to the data center buildout
- Specific stock-level metrics: revenue growth, earnings momentum, analyst targets, and valuation context
- Geo-comparative insights on how Canada, Australia, and the US are competing for AI data center investment
Introduction: The $725 Billion Question Wall Street Is Asking
In February 2026, when Amazon, Microsoft, Alphabet, and Meta collectively disclosed plans to spend roughly $650 billion on capital expenditures for the year — a figure that has since climbed toward $725 billion according to Statista — the market reacted with a mixture of awe and unease. That sum exceeds the annual GDP of Switzerland and represents the largest concentrated infrastructure spending commitment in corporate history (Goldman Sachs, February 2026).
For investors in Toronto, Sydney, London, and Dubai who have watched the AI trade concentrate into Nvidia and three or four other names, this spending wave raises a critical question: if the hyperscalers are putting $725 billion into data centers, power grids, cooling systems, and networking equipment, which companies outside the Magnificent 7 are actually receiving that money? The answer, as of June 2026, points to a handful of industrial and electrical infrastructure specialists that most retail investors have never heard of — and that is precisely the opportunity.
What follows is a deep dive into five AI infrastructure stocks — Amphenol (APH), Vertiv (VRT), Quanta Services (PWR), Eaton Corporation (ETN), and GE Vernova (GEV) — that are positioned to ride what McKinsey estimates will be a $7 trillion global data center buildout through 2030.
1. Amphenol (APH): The Hidden Connector Giant Powering AI Data Centers
Amphenol Corporation is the world's largest manufacturer of electronic connectors — the physical interfaces that link every server, storage unit, and networking switch inside a data center. While Nvidia gets the headlines for its H200 and B200 GPUs, those GPUs are useless without the high-speed interconnects, backplane connectors, and fiber optic cables that Amphenol supplies.
The numbers tell the story. In Q1 2026, Amphenol reported revenue of $7.62 billion, a staggering 58% increase year over year. Adjusted earnings per share hit $1.06, up 68% from $0.63 in Q1 2025 (Amphenol Q1 2026 earnings release, May 2026). The IT Datacom segment, which serves data center customers directly, showed triple-digit growth as hyperscalers rushed to deploy AI clusters.
What stands out about Amphenol is its acquisition strategy. In early 2026, the company completed its purchase of CommScope's Connectivity and Cable Solutions (CCS) business for an enterprise value that implies approximately $4.1 billion in annual revenue contribution. This deal bolsters Amphenol's fiber optic capabilities at exactly the moment when data centers are transitioning from copper to fiber for high-bandwidth AI workloads (Tickeron, June 2026).
For Q2 2026, management guided revenue of $1.14-$1.16 per share, implying continued momentum. The stock has been a consistent compounder — up over 300% in the past five years — yet its forward P/E of roughly 32x is actually below the 5-year average multiple of 36x, suggesting room for multiple expansion if growth continues.
2. Vertiv (VRT): The Cooling and Power Infrastructure Pure-Play
If Amphenol is the nervous system of the AI data center, Vertiv is the circulatory system. The company provides precision cooling, uninterruptible power supplies (UPS), power distribution units, and thermal management systems — the equipment that keeps 100,000-GPU clusters running at optimal temperatures.
The AI boom has been a catalyst for Vertiv unlike any other company on this list. In Q1 2026, the company reported net sales of $2.65 billion, an increase of $614 million or approximately 30% year over year. Adjusted diluted EPS grew 83%, and the company raised its full-year guidance (Vertiv Q1 2026 earnings, April 22, 2026).
The story here is liquid cooling. As Nvidia's GB300 and B200 GPUs push thermal design power (TDP) beyond 1,000 watts per GPU — compared to roughly 300-400 watts for prior generations — traditional air cooling becomes insufficient. Vertiv's liquid cooling solutions, including its Liebert range of precision cooling systems, position the company as a direct beneficiary of the transition to high-density AI clusters. As of June 2026, the stock trades near $339, with analysts noting that the data center cooling market could grow from roughly $20 billion in 2025 to over $50 billion by 2030 (Vertiv IR, June 2026).
The critical metric to watch is the company's backlog, which grew at a compound rate of over 40% through 2025 and into 2026. With grid interconnection timelines in Northern Virginia and Dublin stretching to 2028 or beyond, demand for Vertiv's power and cooling infrastructure is unlikely to slow anytime soon.
3. Quanta Services (PWR): The Grid Architect Behind AI's Energy Appetite
Quanta Services is the largest specialty contractor in North America for electrical power infrastructure. When a hyperscaler needs to bring 500 megawatts of new power capacity to a data center site — enough to power 400,000 homes — Quanta is the company that designs, builds, and maintains the transmission lines, substations, and grid connections.
The numbers are extraordinary. Quanta reported a record backlog of $44 billion entering 2026, driven overwhelmingly by data center and utility grid upgrade projects. The company projects 20% EPS growth for 2026 after topping Q4 2025 estimates and raising its full-year 2026 profit outlook (Quanta Services Investor Day, April 2026).
To put that backlog in perspective: Quanta's current market capitalization is approximately $45 billion. A $44 billion backlog against a $45 billion market cap means the company has roughly one year of revenue already in the pipeline, de-risking the growth story considerably. In Q1 2026, the company's results prompted fresh analyst upgrades, with multiple firms raising price targets into the $350-380 range (Yahoo Finance, May 2026).
Management framed the opportunity at its 2026 Investor Day as a $2.4 trillion addressable market opportunity tied to data centers, grid modernization, and industrial reshoring through 2030. For Canadian and Australian investors, this is particularly relevant: Quanta's expertise in large-scale electrical infrastructure is directly applicable to the data center buildouts happening in Ontario, Alberta, and New South Wales.
4. Eaton Corporation (ETN): The Electrical Backbone of the AI Factory
Eaton Corporation is a global power management company that sells electrical components, switchgear, and power distribution equipment to virtually every data center being built today. Think of Eaton as the company that makes the electrical panel in your house — but scaled up a million times for AI.
In Q1 2026, Eaton's Electrical Americas segment reported that data center revenues increased approximately 50% year over year. The company highlighted its Beam Rubin DSX platform — developed in collaboration with Nvidia — as an end-to-end blueprint for AI factory electrical architecture (Eaton Q1 2026 earnings, April 2026).
Eaton's stock has underperformed the broader market year-to-date — up roughly 9% versus the S&P 500's 12% gain — but analysts at Wolfe Research upgraded the stock in December 2025 from Peer Perform to Outperform with a $413 price target (Wolfe Research, December 2025). The argument for the upgrade: Eaton's order book is accelerating into 2026 as data center projects move from planning to construction.
What makes Eaton particularly interesting for international investors is its global footprint. The company has manufacturing facilities in the UK, Canada, Australia, and across Europe — meaning it can supply data center projects in all of our target geographies without tariff exposure. As the AI data center buildout expands from Northern Virginia to Dublin, Sydney, and Toronto, Eaton's global supply chain becomes a structural advantage.
| Ticker | Price (June 2026) | YTD Return | Forward P/E | Key Metric |
|---|---|---|---|---|
| APH | ~$135 | ~+22% | 32x | $7.62B Q1 rev (+58% YoY) |
| VRT | ~$339 | ~+35% | 38x | $2.65B Q1 rev (+30% YoY) |
| PWR | ~$320 | ~+18% | 28x | $44B backlog (+20% EPS target) |
| ETN | ~$370 | ~+9% | 30x | 50% DC revenue growth |
| GEV | ~$95 | ~+13% | 35x | 83 GW gas turbine backlog |
5. GE Vernova (GEV): The Power Generation Play That AI Cannot Ignore
GE Vernova, spun off from General Electric in 2024, is the company that builds gas turbines, wind turbines, and grid electrification equipment. Its role in the AI story is simple but essential: AI data centers need massive amounts of electricity, and GE Vernova is the company that helps generate it.
In Q4 2025, GE Vernova's earnings per share beat expectations by 315%, driven by surging orders for its HA-class gas turbines — the most efficient in the world. The company's gas turbine backlog reached 83 gigawatts, with orders up 65% year over year. Management raised 2026 guidance to $44-45 billion in revenue, citing data center-driven power demand as the primary catalyst (GE Vernova Q4 2025 earnings, January 2026).
For investors in Canada and Australia — both countries with significant natural gas resources — GE Vernova's technology is directly relevant. Australia's data center investment pipeline exceeds $155 billion (Westpac IQ, May 2026), and the country will need new gas-fired generation to support it. Canada's sovereign AI data center initiative, announced in partnership with TELUS in May 2026, faces similar power supply constraints (Government of Canada, May 2026).
GEV shares have gained 13% in three months as of late May 2026, outperforming clean-energy peer Constellation Energy by a wide margin. The company's HA turbine fleet has surpassed 4 million operating hours across 21 countries, giving it a reliability track record that data center operators value when choosing power generation partners (Zacks, May 2026).
Risks and Counterarguments: The AI Infrastructure Trade Is Not Risk-Free
Every investment thesis has a bear case, and the AI infrastructure trade is no exception. Three risks deserve attention as of June 2026.
First, peak capex risk. The $725 billion spending figure from the four hyperscalers is a 2026 number. If AI adoption plateaus or if enterprises discover that inference workloads are less compute-intensive than training — as some analysts at Bernstein have argued — capital spending could peak in 2027 and decline. Companies like Vertiv and Quanta would face a sudden order-book deceleration.
Second, valuation risk. Vertiv trades at 38x forward earnings, and Amphenol at 32x. These are not obviously cheap multiples, especially in a rising interest rate environment. If the Federal Reserve holds rates higher for longer — as the May 2026 non-farm payrolls data seems to suggest — the discount rate applied to these stocks could compress multiples.
Third, execution risk. Quanta's $44 billion backlog is massive, but turning that backlog into revenue requires skilled labor, supply chain coordination, and timely permitting. Grid interconnection delays in Virginia and Dublin — now stretching to 2028 — could push Quanta's revenue recognition into future periods, disappointing investors expecting near-term results.
What This Means For Your Portfolio (US, Canada, Australia)
For investors in the United States, these five stocks offer a way to play the AI infrastructure theme without the Magnificent 7 concentration risk. A simple equal-weight basket of APH, VRT, PWR, ETN, and GEV would have returned approximately 19% year-to-date as of June 2026 — competitive with the S&P 500 while offering genuine diversification from the AI mega-caps.
For Canadian investors, the data center buildout has a direct home-country angle. The Government of Canada's sovereign AI data center initiative, Quebec's abundant hydroelectric power, and Alberta's natural gas reserves all position Canada as a potential beneficiary of the infrastructure shift. While none of these five stocks are Canadian-listed, they all trade on the NYSE with reasonable liquidity through Canadian brokerages.
For Australian investors, the opportunity is perhaps the most compelling. Australia's data center investment pipeline of $155 billion represents 5.6% of one year's GDP — the highest ratio among developed economies (Westpac IQ, May 2026). The energy infrastructure needed to support this buildout will require precisely the gas turbines, electrical equipment, and grid connections that GE Vernova, Eaton, and Quanta provide.
Frequently Asked Questions (FAQ)
Conclusion: The Physical Layer of the AI Revolution
The AI narrative has been dominated by software — large language models, agentic AI frameworks, and coding assistants. But as the second half of 2026 begins, the market is increasingly recognizing that AI's bottleneck is not algorithms — it is electricity, cooling, and physical infrastructure. The five companies profiled here — Amphenol, Vertiv, Quanta Services, Eaton, and GE Vernova — sit at the intersection of the $725 billion hyperscaler capex wave and the $7 trillion infrastructure buildout that McKinsey projects through 2030.
For investors in the US, Canada, Australia, and the UK, the thesis is remarkably consistent: AI consumption is growing exponentially, and the physical layer required to support it cannot shortcut grid interconnection timelines, power generation capacity, or electrical manufacturing supply chains. These are real, engineering-constrained bottlenecks that create pricing power for the companies that solve them.
The risks are real — peak capex, valuation compression, and execution delays could all derail the trade. But for investors seeking diversified exposure to AI beyond the mega-cap tech names, the infrastructure layer offers a compelling risk-reward profile as of June 2026. As always, position sizing and a multi-year time horizon are essential.