The future of global power runs on electricity. As nations compete to build AI capabilities, energy emerges as the defining constraint.
The global competition for technological supremacy has entered a new phase. Not long ago, manufacturing capacity and natural resources defined economic contests. Today, strategic competition centers on artificial intelligence, and the energy infrastructure needed to power it.
Nations that can secure abundant, reliable electricity gain decisive advantages in AI development, deployment, and economic applications. Those without sufficient energy capacity face constraints that limit both economic growth and the ability to compete in the technologies transforming our century. Energy access is becoming inseparable from technological leadership, which is increasingly inseparable from economic influence.
For the United States, maintaining AI leadership requires expanding energy infrastructure at scale. China is pursuing the same objective with coordinated national policy and massive capital deployment. The competition is more than just algos and chips: it’s about which nation can generate the electricity to sustain continuous AI innovation and execution.
“It’s a new arms race… and energy is central to who wins.”
— Mark Marifian, Head of Product, Tortoise Capital
This dynamic is reshaping investment priorities across technology, infrastructure, and energy. Capital is flowing toward assets that enable national competitiveness in AI. Policy frameworks now target energy infrastructure as strategic rather than purely commercial.
This article examines three critical dimensions:
- Energy Infrastructure as National Security Priority
- AI as Economic and Strategic Imperative
- The Investment Case: Strategic Exposure to a Structural Shift
#1 Energy Infrastructure as National Security Priority
Artificial intelligence has become key to the world’s major powers. AI’s impact spans multiple dimensions:
- Research
- Technology
- Infrastructure
- Industry
- Growth
The nation that achieves sustainable AI leadership gains advantages across all these domains.
But AI development at scale is fundamentally constrained by energy availability. Training advanced AI models requires industrial quantities of electricity operating continuously. Running AI inference systems—deploying trained models to generate predictions and decisions—demands 24/7/365 power availability at data centers processing millions of queries daily.
“We want to have the best AI out there… It’s a national security issue.”
— Mark Marifian, Head of Product, Tortoise Capital
This creates a direct link between energy infrastructure and national competitiveness. Countries with reliable access to abundant electricity can develop, test, and deploy AI systems at scale. Those facing energy constraints must limit their AI ambitions or depend on foreign infrastructure—options incompatible with national autonomy.
The competition between the United States and China for AI dominance occurs against this backdrop. Both nations recognize that energy—resources, infrastructure, generation, capacity, reliability, and independence—directly affects their ability to maintain global leadership. Energy policy, technology policy, and economic strategy have become inseparable.
China has approached this challenge with coordinated national planning, building massive generation capacity and grid infrastructure specifically to support technology and manufacturing. The United States is responding through policy frameworks encouraging domestic energy, infrastructure, and supply chains.
For investors, geopolitics fundamentally alters the risk-return profile of energy infrastructure investing. These assets are no longer simply commodity plays or utility stocks. They are strategic infrastructure that governments view as essential to national interests.
#2 AI as Economic and Strategic Imperative
The economic applications of artificial intelligence are expanding across every sector. AI systems are being integrated into manufacturing, finance, healthcare, transportation, logistics, energy grids, and research. These applications require continuous computational power at a scale not contemplated during the creation of legacy infrastructure.
Consider the computational requirements for economy-wide AI deployment:
- Processing real-time manufacturing data
- Analyzing financial markets
- Coordinating autonomous logistics
- Running predictive maintenance systems
- Optimizing energy distribution
All demand massive processing without interruption. Critical AI systems cannot rely on intermittent power or infrastructure vulnerable to disruption.
These operational requirements are driving renewed focus on energy security and redundancy. Critical facilities require guaranteed electricity independent of grid vulnerabilities. Some technology companies and industrial operators are developing dedicated generation capacity—seeking energy independence so AI-enabled operations remain functional under challenging conditions.
The strategic implications extend beyond individual companies. Nations dependent on foreign energy sources or vulnerable to supply disruptions face constraints on modernization. Energy independence becomes a prerequisite for maintaining advanced capabilities in an AI-enabled economy.
This creates investment opportunities in energy infrastructure supporting what may become universal AI deployment:
- Natural gas production and pipeline networks provide fuel today for reliable generation.
- Nuclearpower, with its ability to provide consistent baseload electricity independent of complex fuel supply chains, offers value for critical infrastructure.
- Small Modular Reactors designed for industrial and technology campuses represent an emerging category attracting substantial commercial investment.
U.S. policymakers and business leaders have elevated energy as a critical element of technological leadership. Government and industry planners see energy resilience as essential to competitive advantage. This represents a fundamental shift: energy as a strategic necessity and not just a commodity.
#3 The Investment Case: Strategic Exposure to a Structural Shift
Government policy frameworks across multiple administrations have recognized the importance of energy infrastructure, though specific legislative approaches vary as administrations change. Regardless of policy details, the fundamental drivers—technological competition, economic growth, and energy security—persist. This recognition is reshaping how investors evaluate these assets.
Traditionally, energy infrastructure investments are evaluated through cash flows, dividends, capital efficiency, and commodity exposure. However, the national competitiveness dimension adds a new layer beyond traditional metrics.
Assets enabling AI development and technology modernization serve a dual purpose: generating commercial returns while supporting national priorities. This dual mandate affects regulation, permitting, and long-term demand. Infrastructure explicitly tied to strategic objectives may now enjoy policy and regulatory support, rather than the impediments encountered by past commercial projects.
Investment Categories for the Future of Energy
Multiple categories merit attention for investors seeking exposure to this theme:
Natural Gas Infrastructure: Production and pipeline networks fuel reliable electricity for AI data centers and critical facilities. U.S. natural gas abundance provides energy security that policy increasingly recognizes as a strategic asset.
Power Generation: Utility-scale generation, particularly combined-cycle natural gas plants and nuclear facilities, provide the continuous electricity that sustained AI workloads require.
Transmission Infrastructure: Grid expansion and modernization enable the delivery of electricity from generation sources to demand centers, particularly regions attracting data centers and semiconductor manufacturing.
Nuclear Operators and SMR Developers: Existing nuclear facilities and emerging Small Modular Reactor technology offer energy density and supply chain independence.
Specialized Power Solutions: New, innovative companies provide dedicated generation and backup power systems for facilities requiring enhanced reliability.
Risk Considerations
AI-driven energy infrastructure investing involves distinct risks.Such investments can involve long development timelines, regulatory obstacles, and exposure to policy shifts. Demand projections, while compelling, remain forecasts subject to tech, economic, and geopolitical variables. These capital-intensive assets require patience and appropriate risk tolerance, as cash flows and gains may be delayed or not meet expectations.
Structural Rather Than Cyclical
Nevertheless, this investment theme differs from commodity-driven energy plays and cycles. These drivers are advancing technology and global economic competition, not short-term supply-demand imbalances. AI adoption is accelerating across civilian, industrial, and even national security applications. The U.S.-China technology competition shows no signs of abating. Energy infrastructure enabling these trends faces sustained demand extending years into the future.
Energy Completes the Portfolio
The competition for AI dominance is reshaping global financial dynamics. Nations with abundant, reliable electricity can aggressively pursue AI development. Those without face limitations across multiple dimensions of growth.
For the United States, maintaining leadership requires treating energy infrastructure as strategic rather than commercial. Policy frameworks are evolving to reflect this, directing capital toward assets that enable technology and economic strength.
This creates investment opportunities extending beyond traditional energy exposure. Infrastructure enabling AI and accelerating technological advancement is fundamental to future growth—where technology meets national priorities and drives capital allocation.
For investors positioning portfolios for long-term structural shifts, energy warrants evaluation as expanded core exposure. Technology investments face a fundamental constraint: inadequate energy supply. Owning the output without exposure to the critical input leaves portfolios incomplete. Energy completes the portfolio.
Watch the Full Discussion: “Why Energy Now?”
Hear directly from Tortoise’s senior portfolio management team as they explore the transformation of the energy sector, the strategic importance of energy infrastructure, and why energy has become central to national competitiveness.
Important Information
Nothing contained in this communication constitutes tax, legal, or investment advice. Investors must consult their tax advisor or legal counsel for advice and information concerning their particular situation. This communication contains certain statements that may include “forward-looking statements.” All statements, other than statements of historical fact, included herein are “forward-looking statements.” Although Tortoise Capital believes that the expectations reflected in these forward-looking statements are reasonable, they do involve assumptions, risks and uncertainties, and these expectations may prove to be incorrect. Actual events could differ materially from those anticipated in these forward-looking statements as a result of a variety of factors. You should not place undue reliance on these forward-looking statements. This communication reflects our views and opinions as of the date herein, which are subject to change at any time based on market and other conditions. We disclaim any responsibility to update these views. These views should not be relied on as investment advice or an indication of trading intention. Discussion or analysis of any specific company-related news or investment sectors are meant primarily as a result of recent newsworthy events surrounding those companies or by way of providing updates on certain sectors of the market. Tortoise Capital, through its family of registered investment advisers, does provide investment advice to Tortoise-related funds and others that include investment into those sectors or companies discussed in this communication. As a result, Tortoise Capital does stand to beneficially profit from any rise in value of the sectors broadly discussed, including individual companies contained within.
Past performance is no guarantee of future results.