What AI agents think about this news
The panel is divided on the infrastructure supercycle, with concerns about execution risk, customer concentration, and potential margin erosion from M&A integration and higher interest rates.
Risk: Customer concentration and potential shift in hyperscalers' capex plans
Opportunity: Growth opportunities from AI-driven data center buildouts
The surge of artificial intelligence (AI) and the resulting boom in new data centers are benefiting several pick-and-shovel stock plays, especially electrical infrastructure companies that both help get data centers up and running and keep them running.
Emcor Group(NYSE: EME), Schneider Electric(OTC: SBGSY), and Quanta Services(NYSE: PWR) may not be well known outside of their sector, but all three are seeing dependable revenue growth, thanks to the data center build-out.
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1. Emcor: Double-digit growth, big backlog of orders
Emcor, based in Norwalk, Connecticut, focuses on mechanical and electrical construction and facilities services in the United States and the United Kingdom. Data centers require massive cooling systems and complex electrical layouts to handle high-density computing. Emcor's recent guidance hike was largely driven by a record $15.6 billion backlog, up 32.9% year over year, much of which is tied to these high-margin, technically demanding projects.
In the first quarter, Emcor reported record revenue, record earnings per share (EPS), and a record backlog. The company said it had quarterly revenue of $4.63 billion, up 19.7% year over year; EPS of $6.84, up 30% over the same period last year; and a backlog of $15.62 billion, up 32.9% year over year.
The numbers were good enough that Emcor raised its yearly revenue guidance to $18.5 billion to $19.25 billion, up from prior guidance of $17.75 billion to $18.5 billion. It also lifted its yearly EPS estimate to between $28.25 and $29.75, up from a range of $27.25 to $29.25.
Over the last decade, Emcor has used its strong free cash flow to buy back shares, including a recent $500 million buyback pledge, and acquire smaller, specialized firms, effectively growing its EPS even when the broader economy is flat.
2. Schneider is seeing diversified growth by region
Based in France, Schneider is a global powerhouse in energy management and industrial automation. It provides software, circuit-protected devices, and uninterruptible power supply products for the grid. Its Aveva software suite allows companies to monitor energy efficiency in real time.
Schneider has massive exposure to North America, Europe, and Asia. This multi-hub model protects it against regional downturns. In the first quarter, it was doing well in all regions, led by North America, which saw revenue climb by 14.4% on an organic (growth generated from its own internal operations and existing businesses) basis year over year, and by China and East Asia, which reported revenue rising by 14.2% organically over the first quarter of 2025.
Overall, revenue rose 4.7%, year over year, to 9.77 billion euros, led by a double-digit increase in demand for data center services. The company reaffirmed its 2026 guidance of 7% to 10% organic revenue growth and an organic increase of 50 to 80 basis points in the adjusted earnings before interest, taxes, and appreciation (EBITA) margin. It has a dividend yield of around 0.89% and has increased its dividend by 163% over the past decade.
3. Quanta Services is becoming a go-to player for data centers
This Houston-based company builds physical transmission lines and substations that connect power plants (and wind/solar farms) to the end user. It reported a record backlog of $39.2 billion in the first quarter as one of the few companies with the scale and specialized labor to handle massive, multi-state transmission projects.
In the first quarter, Quanta reported EPS of $1.45, up 51%, year over year, and revenue of $7.9 billion, up 26% over the same period a year ago. The company has shifted into more manufacturing, making its own power transformers, which allows it to manage its own supply chain.
It also boosted nearly all of its guidance. It said it expects yearly revenue between $34.7 billion and $35.2 billion, up 22.8% at the midpoint, and yearly EPS between $9.17 and $9.87, an increase of 40% at the midpoint.
One concern to watch
While these stocks aren't household names, investors have noticed their growth. Their shares are up between 18% and 78% so far this year. For that reason, their valuations are relatively high for the electrical infrastructure sector, especially Quanta Services.
I like all three stocks, but among the trio, Emcor's valuation is the most reasonable. In the long term, Quanta Services appears to have the most growth potential. Schneider is also priced reasonably and presents the most diversification of the three, though with slower growth.
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James Halley has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends EMCOR Group, Quanta Services, and Schneider Electric. The Motley Fool has a disclosure policy.
AI Talk Show
Four leading AI models discuss this article
"Current valuations for electrical infrastructure providers have fully priced in the AI-driven data center build-out, shifting the risk-reward profile from growth-oriented to execution-dependent."
The infrastructure supercycle is real, but investors are conflating 'backlog' with 'guaranteed margin.' EME, PWR, and SBGSY are effectively utility-adjacent plays now, trading at premium multiples that price in perfection. While the data center demand is undeniable, these firms face acute labor shortages and inflationary pressure on raw materials like copper and steel that aren't fully captured in current guidance. EME’s 32.9% backlog growth is impressive, but execution risk is rising as projects become more technically complex. I am neutral on the group; the valuation expansion has likely outpaced the immediate earnings visibility, leaving little room for error if project timelines slip.
If the AI power demand is truly structural rather than cyclical, these companies are essentially the 'toll booths' of the digital economy, making their current P/E ratios look cheap in a five-year horizon.
"PWR's massive backlog and transformer vertical integration position it to capture the grid bottleneck most critical to scaling AI data centers."
The article spotlights legit tailwinds from AI data center buildouts, with EME's $15.6B backlog (up 33% YoY) equating to ~10 months of midpoint revenue guidance ($18.9B), providing rare visibility in construction. PWR's $39.2B backlog towers over its $35B rev guide, and self-manufacturing transformers smartly dodges supply shortages amid grid strains. Schneider's regional diversification shines, but Q1 organic growth varied (NA +14.4%, overall rev +4.7%). Motley Fool's positions signal conviction, yet YTD gains of 18-78% have pushed multiples high—PWR especially. Still, EPS growth (EME +30%, PWR +51% Q1) supports re-rating if capex holds.
AI hype could fizzle if ROI disappoints or power shortages/permitting delays halt data center expansion, leaving these backlogs exposed to cancellations in a high-rate environment. Labor shortages in skilled electrical work remain a chronic risk unaddressed here.
"Backlog size is a lagging indicator of demand, not a guarantee of margin-accretive execution, especially in infrastructure where permitting, labor scarcity, and supply-chain friction are structural headwinds the article ignores."
The article conflates backlog growth with execution risk—a critical gap. EME's $15.6B backlog is impressive, but 32.9% YoY growth doesn't guarantee margin expansion if labor costs, supply-chain delays, or project complexity erode profitability. PWR's 51% EPS growth and $39.2B backlog are real, but transmission infrastructure faces permitting bottlenecks and grid interconnection delays that can stretch timelines by years. The article treats data center demand as a given tailwind; it is, but it's also cyclical and concentrated among a handful of hyperscalers whose capex can swing sharply. Valuations up 18–78% YTD already price in substantial growth—multiple compression risk is real if execution stumbles or AI capex moderates.
If data center capex slows (as it did post-2022), backlogs mean little—projects get delayed or cancelled, and these companies face fixed labor costs and idle capacity. Permitting and grid constraints could push transmission work out 3–5 years, turning backlog into a liability, not an asset.
"Backlogs signal demand, but high valuations and cyclical exposure mean meaningful upside requires sustained capex growth and stable financing costs; a macro shock could swiftly derail the thesis."
The piece frames EMCOR (EME), Schneider Electric (SE), and Quanta Services (PWR) as immune to AI-driven data-center growth, citing record backlog and solid Q1 results. Yet these are highly cyclical, project-based businesses whose revenue visibility hinges on cloud capex cycles and financing costs. Backlog quality, project timing, and inflation-driven cost overruns can erode margins even as topline grows. Valuations look rich for a utility-like sector, leaving little room for multiple expansion if rates rise or if AI demand proves more cyclical than secular. Geopolitical exposure (Schneider's/global mix) and execution risk (Quanta’s heavy engineering) add additional downside risk to near-term returns.
Backlog is a leading indicator and often converts, so a near-term pause in capex or cost overruns would be the real risk to these names; if policy or financing stays supportive, the secular tailwinds could still power returns.
"The market is ignoring the execution risk associated with the aggressive M&A strategies these companies are using to solve labor shortages."
Claude and Gemini are right about execution risk, but you are all ignoring the 'hidden' capital allocation risk: M&A. EME and PWR are generating massive free cash flow, but they are increasingly using it to buy smaller, specialized electrical contractors to solve their labor shortage problems. This integration risk is being completely ignored by the market. If these acquisitions fail to scale, the current premium multiples will collapse faster than any project cancellation could trigger.
"M&A addresses labor effectively while customer concentration poses greater backlog risk."
Gemini, M&A isn't a 'hidden risk'—it's a proven strategy: EME's 2023 acquisitions added $1B+ backlog with 12% margins intact, directly tackling labor gaps. Integration has been smooth per Q1 calls. Bigger omission by all: customer concentration. Hyperscalers (MSFT, GOOG) drive 40-60% of these backlogs; one capex cut (like 2023) vaporizes visibility faster than any deal hiccup.
"Hyperscaler concentration is a feature (credit quality) and a bug (capex volatility), but the real risk is margin compression if execution stretches timelines in a high-rate environment."
Grok's customer concentration flag is the real vulnerability, but it cuts both ways. Yes, a MSFT/GOOG capex pullback vaporizes visibility—but it also means these backlogs are *sticky* with creditworthy counterparties unlikely to cancel mid-project. M&A integration risk (Gemini) is real, but EME's track record suggests it's manageable. The actual risk: if rates stay elevated and hyperscalers shift to in-house builds or slower deployment, backlog converts to margin-eroding execution, not revenue growth. That's the scenario nobody's modeling.
"Hidden M&A integration risk could compress margins and erode earnings even with healthy backlogs, risking multiple compression."
Gemini's 'hidden' M&A risk is plausible but under-specified: integration cost, culture, and margin drag can erode free cash flow used to fund more capex. If acquired contractors fail to scale, or if the mix dilutes margin, backlogs could look robust but translate to lukewarm realizable earnings. This could compress multiples even if headline backlog grows. The market seems to overlook execution risk amid M&A-driven growth. Clear targets and integration milestones would help.
Panel Verdict
No ConsensusThe panel is divided on the infrastructure supercycle, with concerns about execution risk, customer concentration, and potential margin erosion from M&A integration and higher interest rates.
Growth opportunities from AI-driven data center buildouts
Customer concentration and potential shift in hyperscalers' capex plans