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Thursday, December 11, 2025

The AI Energy Economy Part 2 – The Pick-and-Shovel Suppliers Powering AI Electrification

The Pick-and-Shovel Suppliers Powering AI Electrification

How to Invest in the Companies Powering the AI Energy Boom

By Ilene with AI 

Read also: The AI Energy Economy Part 1 – The Nuclear & Utility Winners of the AI Power Boom


1. Why AI Is Creating a Historic New Energy Supercycle

Artificial intelligence is no longer just a technology story—it has become an energy story. Modern AI models require enormous clusters of GPUs and specialized accelerators, and those systems consume staggering amounts of electricity. A single hyperscale AI campus can use hundreds of megawatts to multiple gigawatts of power, the equivalent of a mid-size city.

This growth is happening so fast that U.S. regulators, grid operators, and utilities all warn the same thing: the existing electrical system is not ready. They point to three constraints:

  • Generation, especially firm 24/7 power like nuclear and gas
  • Transmission, which is already congested in many regions
  • Grid hardware, including transformers, substations, and high-voltage equipment

Even conservative forecasts suggest that AI could push U.S. power demand up 15–25% within a decade. More aggressive forecasts, especially those based on hyperscale GPU rollouts, show demand rising 40% or more. That kind of load growth hasn’t happened in the U.S. in nearly a century.

Meeting it will require:

  • new nuclear plants and SMRs
  • new gas turbines
  • large renewable and battery installations
  • massive new transmission projects
  • tens of thousands of new transformers and substations
  • a much smarter, more automated grid

This is the backdrop for one of the most compelling investment themes of this decade:

the pick-and-shovel companies that build the hardware for AI-driven electrification.


2. What “Pick-and-Shovel” Means in the AI Power Era

During the Gold Rush, the most reliable profits didn’t go to the miners—they went to the companies selling shovels, axes, rails, and tools. The same logic applies to today’s electrification boom.

Pick-and-shovel companies in the AI era don’t run power plants and don’t operate data centers. Instead, they build the physical infrastructure both sides depend on. These firms manufacture and install:

  • turbines
  • transformers
  • high-voltage equipment
  • transmission hardware
  • nuclear components
  • substations
  • grid automation systems
  • industrial electrical controls
  • large-scale batteries
  • software that optimizes and routes electricity

As AI accelerates demand for stable, high-capacity electricity, these companies become the essential suppliers of the entire system. They benefit from every new grid upgrade, every data-center expansion, and every new generation project—regardless of how the utilities themselves perform.


3. Why Pick-and-Shovel Plays Can Outperform Traditional Utilities

Utilities will absolutely benefit from rising electricity demand, particularly those serving Virginia, Texas, and the Midwest. But utilities face natural limits:

  • they are heavily regulated
  • their returns are capped by state commissions
  • they operate within narrow geographic footprints
  • rate cases move slowly

Pick-and-shovel companies, in contrast, are not bound by local utility economics. They sell globally, across many regions and technologies. Every new power project—whether nuclear, gas, wind, solar, or storage—requires equipment, engineering, and grid hardware. These companies win no matter which generation technology scales fastest.

Another key advantage: once their R&D is complete, incremental revenue is highly profitable. When a GE Vernova turbine or Eaton transformer is sold, the margin on each additional unit widens. And many power-infrastructure projects run on multi-year contracts, producing stable, predictable backlogs of revenue.

Their risk profile is also different. Instead of depending on near-term electricity prices, pick-and-shovel companies depend on long-term capital spending cycles—cycles that are now strengthening dramatically because of AI.


4. The Major Pick-and-Shovel Players in AI Electrification

Below are the most important companies positioned for AI-driven electrification, with new commentary on valuation, stock performance, profitability, and management.


A. GE Vernova (GEV)

The global supplier of power equipment—nuclear, gas, wind, grid, and software

GE Vernova sits at the center of the electricity supply chain. It builds everything from gas turbines (the global leader) to nuclear reactor systems, grid-management software, HV transformers, and wind turbines. It is the closest thing to a “pure play on global electrification.”

Why GEV wins in the AI era

AI growth increases demand for nearly every product GE Vernova sells: gas turbines for firm power, nuclear systems for long-duration clean baseload, HV equipment for grid expansion, and grid-automation software to manage complex power flows.

Investment considerations

  • Valuation: Reasonable relative to its order backlog; not cheap, but not overstretched.
  • Profitability: Improving sharply after GE restructuring; margins expanding.
  • Stock performance: Strong since the spin-off; has not “run too far” given growth outlook.
  • Management quality: Widely viewed as excellent, especially in operational execution.

Bottom line: GEV is a cornerstone pick-and-shovel name with global upside.


B. Eaton (ETN)

The industrial electrical backbone for data centers and transmission systems

Eaton has emerged as one of the biggest winners of the electrification cycle. AI data centers require enormous quantities of switchgear, distribution units, power controls, and protection hardware, and Eaton dominates these categories.

Why Eaton wins

Every data center, substation, solar farm, SMR site, or transmission upgrade needs Eaton components. Eaton isn’t selling to the “AI hype”—it’s selling to fundamental physical requirements.

Investment considerations

  • Valuation: Higher than historical averages because investors recognize its strategic position. Not overly stretched, but no longer cheap.
  • Profitability: Very strong margins and excellent cash flow.
  • Stock performance: A steady long-term outperformer.
  • Management quality: Considered among the best in industrials.

Bottom line: A quiet giant with dependable growth and limited downside.


C. Quanta Services (PWR)

America’s grid builder—transmission, distribution, and substation construction

Quanta is the company utilities call when they need to actually build the grid. As AI load increases, the U.S. will need hundreds of billions in new transmission lines, substations, and distribution upgrades. Quanta is the de facto leader in this space.

Why Quanta wins

More generation—whether nuclear, gas, or renewable—creates a larger requirement for transmission. Quanta’s business rises directly with national infrastructure spending.

Investment considerations

  • Valuation: High relative to earnings, but supported by decades-long structural demand.
  • Profitability: Strong and steady; backlog continues to grow.
  • Stock performance: One of the best industrial performers over the past decade.
  • Management quality: Excellent execution and deep industry relationships.

Bottom line: PWR is one of the safest long-term electrification investments.


D. Fluence (FLNC)

Grid-scale batteries and software—the brains of renewable balancing

Fluence, a joint venture of Siemens and AES, is a global leader in grid-scale battery systems and the software that optimizes them. As AI raises peak-power demand, utilities need large energy-storage systems to smooth load and maintain reliability.

Why Fluence wins

Every new solar or wind project, and every grid that must buffer heavy AI loads, needs storage. Fluence also sells the optimization software that utilities rely on to keep grids stable.

Investment considerations

  • Valuation: High, because investors expect long-term hypergrowth.
  • Profitability: Not fully mature; improving but still transitioning toward consistent earnings.
  • Stock performance: Big swings; best suited for growth-oriented investors.
  • Management: Strong technical leadership, still scaling commercial operations.

Bottom line: A high-upside, higher-volatility play on grid storage and AI-driven peaks.


E. ABB (ABB)

Industrial electrification, automation, and grid technology

ABB is a diversified global industrial company with deep roots in power electronics, HV equipment, automation systems, and industrial robotics. It is a major supplier to utilities, factories, data centers, and electrification projects worldwide.

Why ABB wins

Its high-voltage products, industrial controls, and grid technologies are in direct demand across the AI and electrification boom. ABB’s global footprint gives it exposure to growth beyond the U.S.

Investment considerations

  • Valuation: Reasonable for a high-quality industrial; still attractive.
  • Profitability: Strong margins and excellent balance sheet.
  • Stock performance: Steady upward trend; not overheated.
  • Management: Very strong operational discipline.

Bottom line: A lower-volatility, globally diversified electrification play.


F. Schneider Electric (SBGSY)

The electrical nervous system of data centers and microgrids

Schneider is the leading supplier of power conditioning, electrical enclosures, UPS systems, microgrids, and automation for data centers. It is deeply embedded in hyperscaler supply chains.

Why Schneider wins

As AI clusters grow, reliable, perfectly conditioned electricity becomes essential. Schneider provides the systems that maintain power quality and automate electrical infrastructure.

Investment considerations

  • Valuation: On the higher side, but justified by its leadership in data-center electrification.
  • Profitability: Consistently strong.
  • Stock performance: A long-term compounder with international exposure.
  • Management: Considered best-in-class in the electrical automation sector.

Bottom line: A must-own name for investors seeking direct exposure to data-center infrastructure.


G. Siemens Energy (ENR)

HVDC transmission, turbines, and grid hardware

Siemens Energy is a global leader in gas turbines, HVDC transmission systems, and industrial transformers—all critical for the next decade of grid modernization.

Why Siemens Energy wins

AI data centers create both more demand and more congestion, especially across long distances. HVDC transmission, which Siemens leads globally, is essential for moving power efficiently.

Investment considerations

  • Valuation: Lower due to past turbine issues, offering value for long-term investors.
  • Profitability: Improving but still uneven; the grid division is strong.
  • Stock performance: Recovering; has room to run if execution continues improving.
  • Management: Mixed record, but currently stabilizing.

Bottom line: A global transmission and turbine powerhouse with significant upside if execution continues.


5. How to Think About Portfolio Construction

Pick-and-shovel stocks offer diversified, global exposure to the power mega-cycle that AI is accelerating. A balanced portfolio might include:

Stable global electrification platforms

  • GE Vernova (GEV)
  • ABB
  • Schneider Electric
  • Siemens Energy

Direct U.S. grid build-out exposure

  • Quanta Services (PWR)
  • Eaton (ETN)

Growth-oriented storage exposure

  • Fluence (FLNC)

These names benefit regardless of whether the next gigawatt of AI power comes from nuclear, gas, solar, wind, or storage—they supply the infrastructure all these technologies require.


6. Why Pick-and-Shovel Plays Belong Beside Utility and Nuclear Stocks

If you already invest in utilities like Constellation (CEG), Vistra (VST), NextEra (NEE), Dominion (D), or Duke (DUK), adding pick-and-shovel companies creates a more complete energy portfolio. Utilities profit by selling electricity. Pick-and-shovel companies profit when utilities:

  • build new nuclear plants
  • expand transmission
  • upgrade substations
  • add batteries
  • replace transformers
  • modernize the grid

These revenues tend to be long-cycle, recurring, and global. Even if electricity prices fall, infrastructure spending usually continues.


7. Conclusion: The AI Electrification Decade Has Begun

AI is the most electricity-intensive technology ever built, and its growth is reshaping global energy demand. No matter how quickly adoption scales—slow, medium, or explosive—the world will need:

  • more generation
  • more wires
  • more substations
  • more transformers
  • more storage
  • more automation
  • more grid resilience

The companies selling the tools, hardware, and systems behind this build-out—GE Vernova, Eaton, Quanta Services, ABB, Schneider Electric, Siemens Energy, and Fluence—are positioned to benefit across every scenario. They are the durable, global pick-and-shovel winners of AI-driven electrification.

Valuation Comparison Table 

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