đŹ Hot Take: Which energy source will power the AI boom best? Natural gas, nuclear, or renewables? Drop your pick!
While markets still debate the spectacular early AI-driven gains of NVIDIA and Palantir, a more fundamental question has emerged: powering AI.
As global data centers enter a boom phase, electricity â not computing power â has become the hidden fuel determining how far the AI race can run.
Asset managers including BlackRock have clearly stated that companies supplying power to data centers may be the biggest winners in the entire AI supply chain.
Deloitte projects that U.S. AI data center electricity use will surge 30-fold between 2024 and 2035.
The International Energy Agency (IEA) forecasts global data center power demand will double to about 945 terawatt-hours by 2030.
Facing this gap, which energy sources will dominate supply?
Natural Gas: The Urgent âStabilizerâ
Natural gas power is fast to deploy and cost-controllable, making it the shortâterm anchor filling the power gap.
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Focused on the Appalachian Basin, it covers gas production, transmission, and distribution. It is positioning itself as a key partner for AI data centers, piping gas directly to data center parks near Pittsburgh via expansion projects.
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Provides natural gas compression services, moving gas from wellheads to processing facilities. Its CEO notes that AI data center demand and LNG exports are driving sustained growth, and the company is expanding capacity to support customer scaling plans.
Nuclear Power: Tech Giantsâ âLongâTerm Betâ
Nuclear power â with zero emissions â is favored by Google, Microsoft, and other tech leaders, representing a strategic decadeâahead solution.
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$Constellation Energy Corp(CEG)$
Restarting a reactor at Pennsylvaniaâs Three Mile Island exclusively to power Microsoftâs AI data centers â a landmark signal of nuclearâs comeback.
It is already the U.S.âs nuclear leader, producing more nuclear power than all other U.S. utilities combined. Analysts see over 25% upside to their 12âmonth target price.
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The powerâfocused spinâoff from General Electric, covering nuclear reactors, gas turbines, and grid optimization.
2025 orders jumped to $59.3 billion, with a massive backlog of $150 billion â about four years of work â as AI data centers strain and upgrade grids.
Diversified Energy & Energy Storage
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Over half its generation is renewable, with natural gas and nuclear assets too. It plans 30 GW of new capacity by 2035 and partners with Google on data center parks, using a multiâenergy mix to meet AIâs flexible power needs.
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Electrical equipment maker focused on highâvalue data center projects. Boasts a $1.4 billion backlog, strong balance sheet, and nearly no debt.
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$Array Technologies Inc.(ARRY)$
Makes solar tracking systems to boost PV efficiency. 2025 revenue rose 40%, but the stock pulled back on muted guidance. It now trades at ~10x forward earnings â a deep discount to peers.
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$Energy Vault Holdings, Inc.(NRGV)$
Specializes in energy storage using sodiumâion batteries and software to manage the volatile power loads of AI training and inference, solving renewable intermittency.
Investment Takeaway
The AI power sector has a clear, layered structure:
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Short to medium term: Natural gas players (NFG, Archrock) lead with mature, fastâdeployable infrastructure.
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Medium term: Power equipment makers (GE Vernova, Powell) benefit from exploding order backlogs, providing multiâyear visibility.
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Medium to long term: Nuclear and diversified utilities (Constellation, NextEra) win longâterm AI demand with policy and techâgiant support.
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Storage: Energy Vault and Array Technologies provide critical stability for renewables, growing more valuable as AI demands ultraâreliable power.
In the AI era, electricity is no longer just infrastructure â it has become a defining force shaping the entire industry.
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