저자: DanIves · 외국인
요약 보기
Dan Ives는 AI 인프라 사이클이 초기(3회 1아웃)이며 엔비디아 칩 수요가 공급의 약 12배라고 주장한다. 추론(inference) 수요와 피지컬 AI가 다음 지출 물결이므로 최근 조정은 단기 노이즈이고 엔비디아는 필수 포지션이라 본다. 반면 수출규제, 고객 집중, AMD·커스텀 실리콘 경쟁, 고평가 등 리스크도 인정한다. 월가 주요 기관(BofA, 모건스탠리, 골드만삭스)도 매수 의견을 유지한다고 언급한다.
다듬은 글
Dan Ives just went on live television and made one of his boldest calls yet on Nvidia. He didn't just defend the stock. He laid out exactly why the investors getting out right now are making the biggest mistake of the decade. But what is Ives seeing that most people are completely missing? And what is the one thing buried inside this interview that changes how you should be thinking about this trade entirely?
Keep watching because the last argument is the one Wall Street is still getting completely wrong. Here's the first thing most people walked right past. Dan Ives is not just bullish on Nvidia in isolation. He's bullish on the entire infrastructure layer of the AI revolution. And he sees Nvidia as the irreplaceable center of that infrastructure.
The warning he's actually sending is not to people who own the stock. It's to the people who don't. And the supply and demand argument is where the real story lives. Circa refinancing is not keeping me up at night. The this is the as we talk about, it's third inning one out in the AI revolution. You talk about supply demand to supply Nvidia chips 12 to one.
12 to one. That's the demand to supply ratio he's putting on Nvidia's chips right now. For every single graphics processing unit Nvidia can manufacture and ship, there are 12 orders waiting in line. That is not a company at risk of losing relevance. That is a company that literally cannot build its product fast enough to keep up with demand.
That dynamic alone should reframe everything you've been reading about Nvidia's near-term risk. The third inning framing is the second thing to take seriously. Because what Ives is saying is that we are not late in this artificial intelligence buildout. We are early. The spending wave from Microsoft, Google, Amazon, and Meta is nowhere near its peak.
The inference cycle, the computing power required not just to train AI models, but to actually run them at scale for billions of users every single day, has barely begun. That's the next enormous spending wave, and Nvidia is positioned directly at the center of it. Now, before we get to what he actually said, and the last big point buried in this interview, let's be honest about the bear case because dismissing it would be lazy, and the bears are not wrong about everything.
First, the export restriction risk is not going away. The United States has been progressively tightening chip export rules aimed at China. That's a massive addressable market that Nvidia is being steadily cut off from, and the geopolitical situation is unpredictable. A single headline out of Washington can move the stock 10% in a single session.
I mean, Jensen's going to have to play that 10% politician, 90% CEO. The back and forth between DC and Beijing. Look, the biggest chip on this poker table is Nvidia. Second, the customer concentration risk is real. Nvidia's revenue is heavily dependent on a small group of enormous customers. Microsoft, Google, Amazon, Meta.
If even one of those companies decides to slow spending or accelerate its pivot toward in-house custom silicon, the impact on Nvidia's numbers would be immediate and significant. Third, competition is building faster than most people expected. AMD is a real competitor now, not a distant afterthought.
Custom silicon from Broadcom and Marvell is gaining traction inside the hyperscalers, and even Intel is not completely out of the picture. That competitive pressure creates a real ceiling on how long Nvidia can sustain its extraordinary margins. These risks are genuine. What Dan Ives says next only lands properly if you understand how heavy the pressure really is.
Because in the middle of all that uncertainty, Ives walked into that studio and said something that the bears are fundamentally underestimating, and it has nothing to do with the next earnings quarter. It has everything to do with the actual stage of the cycle we're in right now. To play the the trade for semis, it's the godfather of AI Nvidia.
You got to own everything. That line means more than it sounds. Ives isn't saying Nvidia is a good trade. He's saying it's a necessary position for any serious portfolio exposed to artificial intelligence. That's a different statement entirely. And it tells you exactly how he's framing the risk. Not as a valuation question, but as a structural inevitability.
But to understand why that framing is so significant, you have to understand exactly what kind of market he was walking into when he said it. Right now, the narrative around Nvidia is genuinely messy. The stock has had a painful stretch. Export restriction concerns, demand sustainability questions, and stretched valuations have created real uncertainty across the market.
Some of the most respected voices in finance have started openly asking whether the AI trade has gotten ahead of itself. Here's where things actually stand. Nvidia has had one of the most extraordinary runs in stock market history, but recently the stock has pulled back sharply, and the reasons are real.
Export ban restrictions targeting China and other key markets have created genuine uncertainty about future revenue. China revenue could be 50% growth. I mean, that that was just eye-popping. The next earnings window is already carrying pressure from analyst expectations that have become almost impossible to beat consistently.
And the valuation question is getting louder. Even after the pullback, Nvidia is still trading at a premium that makes a lot of traditional investors deeply uncomfortable. The price to earnings multiple is elevated. The competition is growing. And the bears have been getting more vocal by the week. Some analysts have started openly questioning whether the artificial intelligence infrastructure spending cycle has already peaked.
Whether hyperscalers like Microsoft, Google, and Amazon can realistically sustain this level of capital expenditure. Whether Nvidia's pricing power is as durable as bulls have been claiming. For a lot of Nvidia stockholders sitting on significant gains right now, the question is simple. Do you hold, or do you take the money and walk?
That's exactly the environment Dan Ives stepped into. And that brings me to the third thing, the one Wall Street is still getting wrong. And honestly, this is the most important part of the entire interview. Everyone is focused on training, the data centers, the clusters, the massive capital expenditure from Microsoft and Google and Amazon to build out the infrastructure to train the next generation of AI models.
That's the story most investors have priced in. That's what the last two years of Nvidia's run has largely been built on. And that's exactly why most people are asking the wrong question right now. Because the next wave isn't training, it's inference. Inference is what happens when an AI model is actually running.
When it's answering your question, generating your image, driving your car, diagnosing your scan, managing your logistics network. Every single time any AI product does anything useful for any person anywhere in the world, that is inference happening in real time. And inference at global scale, billions of daily active users across thousands of applications running continuously, requires an almost incomprehensible amount of computing power.
Power that, right now, only one company's chips can reliably deliver at the performance levels the market demands. That spending wave hasn't started yet, not really. The hyperscalers are just beginning to build the infrastructure to run AI at the scale they're publicly promising. And beyond that sits an even larger opportunity that Wall Street is barely modeling.
Physical AI. Autonomous vehicles, industrial robotics, smart infrastructure. Every one of those markets runs on real-time inference at the edge. Every one of those markets needs chips. And right now, there is one name at the center of all of it. That's the structural call Dan Ives is actually making.
Not a quarter, not a price target, a decade. And the investors treating this pullback like a reason to exit are, in his view, confusing short-term noise for a long-term story that is only just beginning to unfold. And Dan Ives isn't alone in this view. I do it as noise because in my view, you got to look at the story with China.
This is a story that that is actually just going to acceleration mode. The institutional picture on Nvidia right now is striking, especially given how loud the negative headlines have been. Wedbush carries a price target on the stock well above current trading levels. Bank of America, Morgan Stanley, and Goldman Sachs all maintain buy ratings.
The consensus across major Wall Street desks is consistent. The recent pullback is not a structural breakdown. It's a buying opportunity. I actually think it's cheap relative to where the numbers are going. I I look, I think street's underestimating numbers 25-30%. Even analysts who have raised valuation concerns are not calling for an exit.
They're calling for patience because the demand signals buried inside Microsoft's, Google's, and Amazon's actual earnings calls, the real capital expenditure numbers, not the headlines, all point to the same conclusion. Artificial intelligence infrastructure spending is not decelerating, it's accelerating.
And even with a significant China revenue haircut fully priced in for the export restriction scenario, the long-term model for Nvidia still works. That's the weight of the institutional view, and it maps precisely onto what Dan Ives was saying in that studio. So, here is the huge warning Dan Ives is actually delivering to Nvidia stockholders.
It's not a warning to sell. It's a warning not to let the noise, the headlines, the export fear, the valuation anxiety, make you walk away from what he believes is the most important infrastructure trade of this decade. Look, I think this issue shows this AI arms race is not slowing down. It's accelerating.
Third inning, one out, 12 to one demand. A man in a black leather jacket who hasn't lost a single step.
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