AI Demand Shock Review: Is Marc Chaikin’s Power Gauge Report Worth It?

Every big AI winner had the same shape behind it, says Marc Chaikin’s “AI Demand Shock” presentation: a sudden, almost bottomless surge of demand that “shatters the traditional business model of the companies involved as they scramble to meet this insatiable demand.” Broadcom up 876%. Palantir up 2,860%. Powell Industries up as much as 3,427%. The presentation’s contribution is to name that pattern, walk through four full stages of it with dated, verifiable stock examples, and argue that stage four, robotics, is next. It is one of the most evidence-dense VSLs we have analyzed this year, and it gives away a real free pick at the close. Here is our complete review.

Images to be added when available.

The Presenter

Marc Chaikin’s credentials are unusually verifiable, and the presentation spends real time on them because they are the product’s foundation. “Since the day I started at the brokerage firm Shearson-Hammel on October 7th of 1966,” he began a Wall Street career that included creating “one of the first daily computerized programs on Wall Street, which generated trade ideas every morning” in 1979, inventing Chaikin Money Flow, “which now appears in every Bloomberg terminal and Reuters terminal around the world,” and building the Power Gauge, which attracted coverage from CNBC, Fox Business, and Investors Business Daily.

The authority transfer is institutional and mostly checkable: work sought out by Paul Tudor Jones, George Soros, Steve Cohen, and Michael Steinhardt, plus the Jim Cramer endorsement, “I use it constantly and I almost never want to go against it.”

The emotional foundation is the Sandy story, and it is the same story Chaikin has told publicly for years: his wife, a marketing executive, “lost half her 401k in 2008 thanks to bad advice from her money manager who kept telling her not to sell.” His reaction: “I thought, gee, I’ve spent my whole life helping Wall Street get richer while ordinary folks like my wife Sandy are getting fleeced. So I made a radical decision that changed everything.” The system was built for his own family first. That origin story does more trust work than any percentage claim, and it has the advantage of being consistent across a decade of public telling.

The track-record claims are specific and falsifiable, with a pointer to backup: “It flashed bullish on a remarkable 43 of last year’s top 50 stocks. That’s an 86% hit rate,” “My power gauge flashed bullish on at least 8 of the top 10 performing stocks in the market every single year going back to 2016,” and “if you want to check any of these numbers, you can see them all backed up on our details and disclosure page linked at the bottom of this video.” Those are the presenter’s own backtests, and we could not independently re-derive them, but the willingness to publish them for checking is the right posture.

The Big Idea

The named mechanism is the demand shock: “With demand shocks, we’re now seeing situations where the AI boom ignites a sudden, almost bottomless demand for a specific asset… It’s a little like a small family restaurant with 10 tables becoming an overnight sensation to millions of people on social media.”

The intellectual spine is a four-stage roadmap, and it is genuinely teachable:

  • Stage 1, the things most necessary for AI to work: semiconductors and servers (Nvidia, Broadcom, AMD, Super Micro, Dell, Celestica).
  • Stage 2, the industries needed to build more data centers: cooling and energy (Comfort Systems, Modine, Vertiv, Vistra, Constellation, Bloom Energy).
  • Stage 3, telecom and memory (Arista, Netgear, Lumen, SanDisk, Seagate, Micron), plus the optical mini-shock (Coherent, Lumentum, AXT).
  • Stage 4, the pitch: robotics, “moving AI from the digital world to the physical world in the form of robotics,” located in the electrical equipment industry.

The historical framing gives the pattern weight: “for the past 150 years demand shocks on this scale were relatively rare… The market experienced similar demand shocks during the build out of the railroads in the 1870s for example and when we electrified the country in the 1920s and also when we built our country’s interstate highway system in the 50s.”

The macro numbers check out against real sources. Goldman Sachs’ roughly $7.6 trillion of AI capital expenditure between 2026 and 2031: real, from the Global Institute. The IEA’s projection that data center electricity consumption roughly doubles to about 945 TWh by 2030: real, from the Energy and AI report. The February 2026 software wipeout, “two hundred and eighty five billion dollars of market value was wiped out in just 48 hours” after the Claude Cowork launch: real, documented market history. The named stock moves throughout, Nvidia’s post-ChatGPT revenue tripling to $18 billion quarterly, Vertiv’s run, Micron’s 827% memory surge, are all genuine. This is the best-evidenced promo type in the space: nearly every factual claim can be checked against public data.

The Key Claims

The headline claims, quoted:

  • “demand shocks are the direct cause of the biggest gains in the market since ChatGPT propelled artificial intelligence into the mainstream, like Broadcom up eight hundred and seventy six percent, Palantir up twenty eight hundred and sixty percent and Powell Industries up as much as three thousand four hundred twenty seven percent.”
  • “using the power gauge right now, I’m tracking the next AI demand shock that I expect to take the market by complete surprise in 2027.”
  • “there has never been a moment in my 60-year career on Wall Street when investors could make so much money so fast.”
  • The portfolio framing: stocks “which could all potentially double in value or more very quickly.”

The forward claims are consistently hedged, and the disclaimer discipline is visible mid-script rather than buried: “These gains are market examples, and past performance does not guarantee future results,” stated twice, plus “Just remember that all investing carries risk and you should never risk more than you’re willing to lose.”

The single most credibility-building number in the presentation is a small one, disclosed voluntarily: “the average gain since inception for the Power Gauge report is 5.1%.” A hype artist would have omitted that; sitting right beside five-figure testimonial claims, it is exactly the kind of honest anchor that lets a careful reader calibrate. The counterweights: the 86% hit-rate claims are the firm’s own backtests; the peak numbers use “as much as” framing that retail timing would not have captured; and the testimonials, “I’ve collected in my retirement account over $240,000,” appear without typical-results or compensation disclosures.

The Free Ticker

The presentation pays out one genuinely free pick near the close: “My number one free recommendation right now is Alliant Inc., symbol A-L-N-T.” The transcript’s “Alliant” is the caption rendering of Allient Inc. (NASDAQ: ALNT), which we verified: a real global designer and manufacturer of precision motion, controls, and power quality solutions, serving aerospace, defense, medical, industrial, vehicle, and robotics OEMs, with subsidiaries marketing actuation systems for humanoid robotics and an active presence at robotics trade shows. The description matches the company’s actual positioning, and the selection logic, “a robotics play selected from an industry that’s ranked bullish by the power gauge, the electrical equipment industry,” is exactly how the system is supposed to work.

Dozens of other names appear as proof-of-concept, all real: Nvidia, Broadcom, Palantir, Powell Industries, Marvell, Dell, Celestica, Comfort Systems, Modine, Vertiv, Vistra, Constellation, Bloom, Arista, Lumen, SanDisk, Seagate, Micron, Coherent, Lumentum, plus the sell-side evidence, Fair Isaac, Oracle, C3 AI, and Nike from the 2026 avoid-list. The volume of verifiable names is unusually high and strengthens the presentation, since each dated signal can be checked.

The paid product gates the “AI Demand Shock Portfolio,” a cluster of electrical-equipment and robotics-supply-chain names (“AI demand shocks send clusters of stocks shooting upward at the same time”), plus four bonuses including “Five Companies Heading for Infinite Value” and “The Worst AI Landmine Stocks to Avoid Right Now.” Candidates beyond ALNT are the Revealer’s job; none are named here.

What You Get

The product is the Power Gauge Report, Chaikin’s flagship monthly research service: the model portfolio (“We typically have around 10 recommendations in the model portfolio at any given time”), monthly updates with a new Power Gauge-vetted recommendation each month, and sell signals (“The Power Gauge Report is also where I’ll signal that it’s time to sell and lock in any profits on our gains”).

Price and anchor: “Normally, access to the Power Gauge Report would cost you $499 a year, but today we’re giving you the chance to try our Power Gauge Report totally risk-free at a huge discount to the normal price.” The discounted price lives on the order page; institutional anchors reinforce the value ($5,000 a month for institutional software, $24,000 a year for a Bloomberg terminal).

The five bonuses: the AI Demand Shock Portfolio, “Five Companies Heading for Infinite Value” (long-term compounders in messaging infrastructure), a year of the PowerGage Rating System (a light version of the tool, “a thousand-dollar value”), “The Worst AI Landmine Stocks to Avoid Right Now” (the 2026 edition’s results are recapped with real numbers), and “an exclusive mystery gift… Others have recently paid as much as $2,999 to access this in person.”

Guarantee: “you can get a full cash refund in the next 30 days, no strings attached,” and, unusually, the transcript states the service’s actual average gain: “the average gain since inception for the Power Gauge report is 5.1%.” That small number, disclosed voluntarily, is a strong trust signal sitting right next to the five-figure testimonial claims. Renewal after the first year is the main open question; the transcript does not state renewal terms.

One structural note on the portfolio’s construction: the transcript’s instruction is to “Simply buy all of our recommendations right now with equal amounts of money,” which is a simple, sensible approach for an equal-weighted basket of demand-shock candidates. The 2026 avoid-list results are recapped with real numbers, Fair Isaac down 31%, Oracle down more than 22%, C3 AI down 23%, Nike down 38%, which means the sell-side research has a checkable public record of its own. Few promos in this genre offer the bearish half of their track record for inspection at all.

Our Take

This is the most evidence-dense AI presentation we have reviewed this cycle, and the framework is its own reward: the four-stage demand-shock roadmap is a genuinely useful lens for understanding how the AI bull market has actually moved, chips to power to memory to the next stage, and the presentation earns the right to its stage-four prediction by showing its work across stages one through three first. The Sandy origin story, the voluntarily disclosed 5.1% average gain, and the mid-script disclaimers all point the same direction: this is a presenter who respects his audience.

The counterweights, stated plainly: the claim that the Power Gauge reliably detects shocks in advance is a backtest claim, not an audited track record; the “as much as” peak figures would not match a retail subscriber’s realized experience; and the 90-day/2027 timing on the next shock is presented with more confidence than any forecast deserves. The free Allient pick is a real, researchable company, but it is the appetizer, not the portfolio.

Who is this for? Readers who want a systematic, historically grounded way to think about where AI money rotates next, and who are comfortable with a ratings-driven advisory at a $499-anchor price class. The free ALNT pick and the four-stage roadmap make the presentation worth watching on their own; if you subscribe, the 30-day refund window is the place to check whether the portfolio’s construction fits your risk tolerance.

Where to Learn More

NewsletterVetter is an independent publication. We receive compensation from some of the services we review through affiliate links. Nothing on this site is investment advice. Always do your own research.