Here's a fun finance puzzle for you. The CEO of the world's most important AI company gets on stage and tells everyone he has $1 trillion worth of orders for his product. A trillion. With a 'T'.
And then... the stock goes down.
That's essentially what happened with Nvidia Corp (NVDA) after its recent GPU Technology Conference (GTC). CEO Jensen Huang dropped that eye-popping figure for AI chip demand, but instead of a victory lap, the shares fell around 3% over the next three trading days. The Nasdaq, for comparison, was only down about 1.4%.
So what gives? According to tech investor Gene Munster of Deepwater Asset Management, the market's shrug might be the most bullish signal of all. It suggests that even after all of Nvidia's mind-bending success, investor expectations for the next few years are still too low.
"Jensen's keynote reinforced a simple point: demand is tracking well above even high expectations, while investors remain concerned that growth beyond 2027 could slow sharply or even decline," Munster wrote in a recent analysis.
Think of it this way: the market heard "one trillion dollars" and basically said, "Yeah, we figured." The worry isn't about 2024 or 2025; it's about what happens after the current AI build-out frenzy. Munster points out that Nvidia's own updated guidance now implies year-over-year growth closer to 40% for calendar year 2027. That's a significant bump from the previous Wall Street consensus sitting around 30%.
"Even with a stronger-than-expected demand implication, the shares struggled to fully reflect the improvement," Munster noted. He calls it a "wall of worry"—investors are hearing the upside but just can't bring themselves to believe the growth runway is that long.
Beyond Chips: The 'Physical AI' Bet
Part of Nvidia's answer to that long-term growth question was also on display at GTC. The conference wasn't just about selling more Nvidia H100 chips to data centers. It was about showing that the company is evolving beyond being just a chipmaker.
Munster is particularly focused on what he calls "physical AI"—the use of AI to control robots, autonomous vehicles, and advanced manufacturing. This segment, which includes automotive and robotics, represented about 3% of Nvidia's revenue last year. Munster believes it's set to become "another mega growth driver" starting around 2028.
His firm's projection is, frankly, wild. They see this segment growing from $2.3 billion last year to more than $70 billion by calendar year 2030. That forecast is built on the expectation of booming demand for humanoid robots, self-driving cars, and smart factories—all powered by Nvidia's AI platforms.
If that plays out even partially, it addresses a core investor fear: that Nvidia's growth is a one-trick pony tied solely to data center spending. Physical AI represents a second, massive act.
The Stock's Reality Check
For all the big-picture talk, the stock price is where the rubber meets the road. As of the latest trading, Nvidia shares were up 2.10% to $176.33. They've had a volatile 2026, down about 5.45% year-to-date, but they're still up over 45% in the past year. The stock has traded between $86.63 and $212.19 over the last 52 weeks.
The takeaway from Munster's analysis isn't that the GTC was a failure. Far from it. It's that the market's reaction—or lack thereof—to monumental news might be revealing a persistent skepticism. When a company announces it's sold a trillion dollars' worth of future product and the stock dips, it either means something is terribly wrong, or everyone has already priced in a level of success that seems almost impossible.
Munster is betting it's the latter, and that the real story isn't the $1 trillion for 2025, but the path to $70 billion in new revenue from robots and cars by 2030. The market, for now, seems content to wait and see.
