The Service

The Market Rebel Report is Jon “Dr. J” Najarian’s monthly stock-recommendation service, and the current front-door pitch is his “Infinite Power” presentation. The offer is $79 for three months, anchored against a $199 standard price, with one number-one pick per month and the full investment thesis behind each. We read the whole presentation and checked the grid facts it rests on. Here is our honest review.

A Trader With Real Credentials

Najarian is one of the most recognizable faces in retail trading education, and his résumé is unusually verifiable. He spent 16 years as a regular on CNBC’s Fast Money, Halftime Report, and Options Action, and in 2004 the hedge fund Citadel acquired his firm, Mercury Trading. He and his brother Pete later sold another firm to E*Trade. Before all that, he played linebacker for the Chicago Bears. The HeatSeeker unusual-options-activity system and his book “Follow the Smart Money” are real Market Rebellion products, and both are bundled into this offer.

His stock calls are framed honestly as peak gains, Apple, Tesla, Palantir, and Nvidia at their best-known levels, which is the right way to state them rather than as a clean batting average.

The Infinite Power Pitch

The presentation builds its entire thesis on one documented event: when xAI needed 150 megawatts to power the Memphis Colossus supercomputer and the local utility could deliver about eight, the company bypassed the grid entirely and built its own on-site power plant in roughly 122 days. That means trucking in roughly 35 gas-turbine “power pods,” each 91 feet long and weighing 200,000 pounds, to deliver more than 400 megawatts.

The pick is a small Houston company, about $6 billion in market cap, that leases these pods rather than selling them. Najarian calls it “power as a service,” and the argument is that recurring contracted revenue should be valued like infrastructure, not like one-time equipment sales. Our full Infinite Power teardown walks through the mechanics in detail.

The Facts That Hold Up

This is where the presentation earns its credibility. The 2025 ASCE report card really did give US energy infrastructure a D+, and the age statistics, “70% of power transformers are 25 years or older,” are quoted nearly verbatim. The pattern argument is backed by real precedent runs: Vertiv Holdings (VRT) up roughly 1,200% from its SPAC debut, and Bloom Energy (BE) among the names cited as proof the market pays up for AI power.

The smartest move in the whole presentation is what Najarian volunteers before you find it yourself: in 2024 the company derived 96% of its Power Pod revenue from a single customer, Elon Musk’s xAI. Naming your own concentration risk up front is the most trust-building thing a supplier pitch can do, and the rebuttal, over one gigawatt of new contracted hyperscaler capacity already signed through 2028, is a real counter-argument rather than a dodge.

What to Consider

The honest counterweights are structural. The claim that this company “could replace America’s broken $5 trillion power grid entirely” overreaches, since most of that grid spend is utilities’ wires and transformers, not on-site gas turbines for data centers. A company with 96% single-customer concentration is a concentrated bet by definition, however well the diversification is argued. And the renewal price after the three-month trial is not stated in the transcript, so confirm it before joining.

For context on the demand side of this trade, our explainers on data center power demand and the Musk Master Key take on data center power frame the same theme from different angles.

The Verdict

Among the many “Elon plus AI plus power” pitches crowding inboxes this year, this one is closer to journalism than most. The Memphis build-out, the turbine counts, and the grid statistics are all checkable, and the presenter’s willingness to disclose his own concentration risk gives the presentation an honesty budget most competitors never bank. At $79 for three months with a keep-everything refund, the cost of finding out whether Najarian’s research fits your style is low. Just size any position in the actual pick with the 96% customer-concentration fact firmly in mind.

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