Nvidia Corp. (NVDA) delivered exactly what Wall Street wanted on Wednesday evening: a blowout quarter that beat expectations and reaffirmed its position at the center of the AI boom. And then the stock fell anyway.

It's the kind of thing that makes investors question everything, but analysts Dan Ives and Ross Gerber have very different takes on what's actually happening here.

The Numbers That Should Have Sparked a Rally

Let's start with what Nvidia actually reported. Third-quarter revenue hit $57.0 billion, a 62% jump from the same period last year and comfortably above the Wall Street consensus of $54.88 billion. By any reasonable standard, these are exceptional results.

Yet Nvidia closed down 3.15% on Thursday at $180.64. The disconnect between stellar earnings and a falling stock price is what set off the debate.

Ives: This Is What an AI Revolution Looks Like

Dan Ives wasn't having any of the negativity. Taking to X, he wrote that "Nvidia monster earnings were a major validation moment for the AI Revolution despite today's sell-off." In another post, he made his position even clearer: "This is not an AI Bubble and Nvidia's blowout quarter and bullish demand commentary around Blackwell/Rubin is what we focus on despite this sell-off."

Speaking on CNBC's Closing Bell, Ives described Nvidia's quarter as a "masterpiece" and said the results should eliminate any lingering concerns about an AI bubble. He pointed to continued strong demand for Nvidia's Blackwell and Rubin chips, noting that demand still outpaces supply by a double-digit margin.

Here's where his argument gets interesting: Ives believes we're only in the "top of the third" inning of the AI cycle. The adoption numbers back him up. According to Ives, only about 3% of companies in the U.S. have adopted AI technology. In Europe? Nearly zero. In Asia outside of China? Less than 1%.

Add in sovereign buyers and Middle Eastern governments that are just beginning to ramp up their AI investments, and you've got a picture of an industry that's barely started its growth trajectory. "Use cases are exploding," Ives said, pointing to companies like Palantir Technologies (PLTR) and Snowflake (SNOW) as examples of rapid enterprise adoption.

His conclusion? Stocks like Nvidia, Oracle Corp (ORCL), and Microsoft Corp (MSFT) remain long-term winners, and the current pullback is a buy-the-dip opportunity.

Gerber: The Problem Isn't Nvidia

Ross Gerber, co-founder of Gerber Kawasaki, sees things differently. It's not that he thinks Nvidia is weak. He just thinks the market has bigger problems.

Gerber posted on X that Thursday was "not a good day for stocks," arguing that a broader market correction is still playing out regardless of strong tech earnings. His focus is squarely on macroeconomic factors, particularly interest rates.

He expressed skepticism about the latest jobs report, saying he doesn't believe the economy is strong enough to justify the Federal Reserve holding rates steady. The September labor market data showed 119,000 new jobs added, which sounds decent until you notice that the unemployment rate ticked up to 4.4%, its highest level since 2021, and wage growth came in below expectations.

"The market clearly wants lower rates, the economy needs lower rates," Gerber wrote. He even predicted that President Donald Trump would renew public criticism of Fed Chair Jerome Powell over the rate situation.

In Gerber's view, Nvidia's stock decline has nothing to do with the company's fundamentals and everything to do with mounting macroeconomic pressure that's affecting the entire market.

The Volatility Nobody Can Ignore

The Kobeissi Letter highlighted just how wild the swings have been. Nvidia added and then erased $450 billion in market cap within 36 hours. That's a $900 billion swing in total, the kind of volatility that underscores the uncertainty hanging over AI stocks right now.

For context, Nvidia ranks in the 98th percentile for Growth and the 92nd percentile for Quality in stock rankings compared to industry peers, which makes the price action all the more notable.

So who's right? Maybe both of them. Ives is focused on the long-term AI story, which by all indications is still in its early chapters. Gerber is worried about the near-term macro environment, which could create headwinds regardless of how good individual companies look. The truth is probably that great fundamentals don't always protect you from broader market forces, at least not in the short term. But if you believe the AI revolution is real and we're only 3% of the way there, a 3% down day might look very different a few years from now.