The AI revolution is no longer a distant promise—it’s a seismic shift in global energy demand. By 2025, hyperscale data centers, the backbone of artificial intelligence, require 24/7, zero-emissions power to sustain their insatiable appetite for computation. This creates a unique opportunity for energy infrastructure stocks that combine reliability, scalability, and policy tailwinds. Yet, while the spotlight shines on AI itself, the companies quietly powering this revolution remain undervalued.

The AI-Energy Nexus: A $1.2 Trillion Opportunity

The U.S. energy grid faces a 42-gigawatt shortfall by 2028, driven by AI-driven data centers and onshoring initiatives. These facilities demand not just power, but clean, dispatchable power. Nuclear energy, with its 24/7 baseload capabilities and zero emissions, is uniquely positioned to fill this gap. Meanwhile, U.S. policies like the Inflation Reduction Act (IRA) and Bipartisan Infrastructure Law are accelerating nuclear innovation and grid modernization.

Enter the “toll booth operators” of this new era: energy infrastructure firms that profit from the AI infrastructure boom without needing to build AI models themselves. These companies are the unsung heroes of the supercycle, collecting recurring revenue as the world digitizes.

Undervalued Gems in the Energy Infrastructure Sector1. Constellation Energy (CEG): The Nuclear Powerhouse

As the largest U.S. producer of carbon-free electricity, Constellation Energy (CEG) operates a 22-gigawatt nuclear fleet alongside renewables. Its nuclear plants provide the stable, emissions-free power that hyperscalers like Microsoft and Amazon demand to meet ESG goals.

Valuation Insight: CEG trades at a P/E of 32.44, 23% below its 4-year average. Analysts project 17% EPS growth through 2028, making it a compelling value play. Policy Tailwinds: The IRA’s $369 billion clean energy incentives and the Department of Energy’s $1.2 billion in nuclear grants directly benefit CEG’s expansion. 2. Bloom Energy (BE): Decentralized Power for Grid-Strained Regions

Bloom Energy’s solid oxide fuel cells offer a decentralized solution to grid bottlenecks. With 42-gigawatt grid constraints projected by 2028, BE’s servers can be deployed in months, bypassing interconnection delays.

Valuation Insight: BE’s P/E of 0.00 reflects current losses, but its 76% CAGR in EPS through 2027 suggests a turnaround. The company’s $8.5B backlog and hydrogen-ready technology position it for long-term growth. AI Demand: Northern Virginia and Texas, two AI hotspots, are BE’s key markets. 3. GE Vernova (GEV): Grid Stabilization for the AI Era

GE Vernova’s gas turbines and synchronous condensers are critical for integrating renewables into the grid. With $500M in data center orders in 2025 alone, GEV is the bridge between intermittent renewables and AI’s unyielding power needs.

Valuation Insight: GEV’s P/E of 146.5x seems high, but its fair value estimate of $645.99 (vs. current $621.91) suggests undervaluation. Analysts project 45% CAGR in EPS through 2028. Policy Tailwinds: The IRA’s grid resilience incentives and GEV’s role in hydrogen infrastructure align with U.S. decarbonization goals. The Case for a “Toll Booth” Mindset

The energy infrastructure sector is transitioning from a commodity-driven model to a high-margin, recurring revenue model. Companies like CEG and BE are akin to toll operators: they charge for power delivery, regardless of the AI applications consuming it. This creates a durable cash flow stream insulated from short-term tech cycles.

Consider the math: a single hyperscale data center can consume 50 megawatts of power—equivalent to a small city. Multiply that by the 100+ facilities planned by 2027, and the energy infrastructure demand becomes a $1.2 trillion market.

Policy as a Catalyst

The U.S. government is turbocharging this transition. The IRA’s $369 billion in clean energy incentives, coupled with the Department of Energy’s $1.2 billion in nuclear grants, ensures that companies like Oklo (OKLO) and Vistra (VST) can scale their advanced reactor projects. Vistra, for instance, has surged 258% in 2024, leveraging its nuclear and solar assets to meet AI-driven demand.

Risks and Mitigations

While the thesis is compelling, risks exist. Grid constraints, regulatory delays, and the cyclical nature of energy markets could dampen growth. However, the diversification of energy sources (nuclear, fuel cells, and renewables) and the IRA’s long-term funding mechanisms mitigate these risks.

Conclusion: A High-Conviction, Low-Valuation Entry Point

The AI infrastructure supercycle is not a tech stock play—it’s a structural shift in energy demand. Energy infrastructure stocks like CEG, BE, and GEV are trading at discounts relative to their growth potential, offering a rare combination of policy tailwinds, recurring revenue, and clean energy alignment. For investors seeking to capitalize on the AI revolution without the volatility of tech stocks, these “toll booth operators” represent a high-conviction, low-valuation entry point.

The next decade will be defined by the fusion of AI and clean energy. The companies powering this revolution are already here—undervalued, but poised to deliver outsized returns.