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Illustration for: Nvidia's Huang Told Investors to Buy the Dip. He Was Right.
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Nvidia's Huang Told Investors to Buy the Dip. He Was Right.

Jensen Huang told investors in Seoul to buy Nvidia stock at a discount during June's AI selloff -- two months later the stock is up 5.1% against the S&P 500's 4.3%, a modest but real edge worth examining as a diligence signal.

By the Numbers

Seoul, June 8
Huang's comment
+5.1%
NVDA since
+4.3%
S&P 500 since
+0.8pp
Edge
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Trace Cohen
Early-stage VC & angel · Founder, New York Venture Partners
August 9, 2026
2 min read
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The VC Read · Trace's Take

Trace Cohen

Huang's call beat the S&P by less than a point over two months -- interesting as a scored, falsifiable executive prediction, not as proof of special timing skill. The real diligence value is in whether he makes another specific, checkable call during the next drawdown; one data point is an anecdote, not a pattern worth trading on.

Analysis

I don't think Jensen Huang's "buy at a discount" line from June deserves the retrospective victory-lap treatment it's getting this week, and I also don't think it deserves to be dismissed as CEO cheerleading. Both readings miss the more useful question. During June's AI-stock selloff, Huang told reporters in Seoul -- where he was finalizing a chip-supply partnership -- "we're at the beginning of it, and whatever happened to the stock market, you should be very happy because now you can buy at a discount." Two months later, Nvidia is up 5.1% since that comment against the S&P 500's 4.3%, according to the Motley Fool's retrospective. His call beat the market, but only by 0.8 percentage points over two months -- not the kind of outperformance that should change anyone's diligence process on its own, and treating a single correctly-timed call as skill rather than luck carries its own risk.

Here's what I think is actually interesting about it: a sitting CEO making a public, dated, falsifiable prediction about his own stock during a selloff is rare, and rarer still is one that can be graded two months later against an index. Most executive commentary during a drawdown is vague enough to be unfalsifiable -- "we remain confident in our long-term strategy" tells you nothing you can check. Huang's comment was specific enough to score. That's worth something as a data point on Huang's own credibility, separate from whether the stock happened to go up.

“Most executive commentary during a drawdown is vague enough to be unfalsifiable -- "we remain confident in our long-term strategy" tells you nothing you can check.”

What I wouldn't do is treat this one data point as evidence Huang has any special timing skill worth following going forward. A single correctly-timed comment during one selloff, beating the index by less than a point, is close to noise -- CEOs talk their own book constantly, and on a long enough timeline some of those calls will look prescient by chance alone. The diligence-relevant question isn't "was Huang right this one time," it's whether Nvidia's own public commentary has a track record across multiple cycles, which this single data point can't establish.

Room for disagreement: Huang isn't just any CEO making a stock call -- he's the CEO of the company sitting at the center of the entire AI capex cycle, with visibility into GPU order books, hyperscaler capex guidance, and supply constraints months before that information becomes public. A comment from Huang during a selloff carries more informational weight than the same comment from an unrelated executive, precisely because his company's order book is one of the best real-time indicators of AI-infrastructure demand that exists. Dismissing his call as noise ignores that information asymmetry.

Either way, the number I'd actually track isn't this one call -- it's whether Huang makes another public, specific, checkable prediction during the next drawdown, and whether that one holds up too. One data point is an anecdote; two or three specific, scored predictions start to look like a pattern.

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Reported by Fool.com · Analysis by Value Add Pulse.

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@Trace_Cohen·t@nyvp.com