Former Banker Says the Real AI Trade Isn’t Chips, It’s Electricity: 4 Stocks to Watch
Analyst and former banker Felix Prehn printed a thread on August 24 arguing that almost all retail traders missed the 500% to 1,000% features already seen in Palantir, Intel, and Seagate.
He now factors to 4 firms sitting at what he calls the true bottleneck of synthetic intelligence: electrical energy.
This article shouldn’t be monetary recommendation. Stock costs are unstable, previous efficiency doesn’t assure future outcomes, and readers ought to conduct their very own analysis or seek the advice of a licensed advisor earlier than making any funding resolution.
Why Power Companies Became the New AI Trade
Prehn’s thesis facilities on a structural scarcity moderately than a speculative narrative. Big Tech firms are signing long-term contracts to safe nuclear and different era capability, at the same time as a whole lot of billions of {dollars} pour into chips and data center construction.
Without dependable, clear energy, he argues, spending can’t totally materialize into working capability. The 4 firms beneath sit instantly in the path of that demand, every tied to concrete contracts with main AI infrastructure consumers moderately than speculative publicity to the sector.
Constellation Energy (CEG)
Constellation owns the largest nuclear fleet in the United States, together with Three Mile Island, which was restarted beneath the title Crane Clean Energy Center. In the second quarter of 2026, the firm signed 920 megawatts of recent long-term nuclear energy buy agreements, averaging 18.5 years in period, including a cope with Walmart.
Management raised its adjusted working earnings steering to $11.50 to $12.50 per share, with the CEO describing current vegetation as the bedrock for powering information facilities throughout this early section. Shares commerce close to $273, down roughly 34% from a 52-week high of $412.70, in accordance to TradingView data.
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Talen Energy (TLN)
Talen owns the Susquehanna nuclear plant and holds a serious long-term contract with Amazon Web Services masking up to 1,920 megawatts. In its second-quarter results, the firm raised adjusted EBITDA steering to $2.025 billion to $2.225 billion and free money move steering to $1.2 billion to $1.35 billion.
Talen additionally closed its Cornerstone acquisition and superior a pipeline of roughly 4 gigawatts in information heart choices. Shares commerce at $305, correcting from an all-time high close to $451 reached in October 2025.
Vistra (VST)
Vistra holds long-term contracts with Meta and Amazon and lately launched Helix Digital Infrastructure alongside NVIDIA, KKR, and the Kuwait Investment Authority, with an preliminary dedication of up to $1 billion. In the second quarter, the firm posted greater than 30% progress in ongoing operations adjusted EBITDA and reaffirmed its full-year 2026 steering.
It additionally acquired FERC approval for its acquisition of Cogentrix. Shares commerce close to $135, properly off a 52-week high of $219.82.
GE Vernova (GEV)
GE Vernova sells fuel generators, era gear, and grid infrastructure, with a backlog that reached $176 billion. AI information heart orders more than doubled throughout the first half of 2026 in contrast to all of 2025, whereas its fuel turbine backlog hit 116 gigawatts, with administration anticipating to surpass 125 gigawatts by year-end.
The firm lately launched a brand new MV-UPS system constructed particularly for AI factories and signed battery storage contracts in Australia. Shares commerce round $942, close to an all-time high of roughly $1,196 reached in July 2026.
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What Investors Should Weigh Before Following This Thesis
All 4 firms share the identical underlying catalyst: rising, contracted demand for the clear, dependable energy that AI infrastructure requires. That structural setup differentiates them from purely speculative AI plays tied to chip demand or software program hype alone.
Prehn himself flagged the key danger instantly. If AI spending slows, or if the income these buildouts assume fail to materialize on schedule, share costs throughout this group might fall sharply, given how a lot of their current worth already displays future expectations.
He really useful having a transparent exit technique in place earlier than coming into any of those positions. As with any concentrated thematic guess, diversification and place sizing matter as a lot as the underlying thesis itself.
None of the data above constitutes monetary recommendation. Readers ought to independently confirm present costs, firm fundamentals, and danger components, and contemplate consulting a licensed monetary advisor earlier than making funding selections primarily based on this evaluation.
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