저자: 젠슨황 · 외국인
요약 보기
엔비디아 실적은 역대급이며 컴퓨트 수요가 매출과 GDP를 견인한다고 주장. 모든 기업이 컴퓨트를 필요로 하고 AI 인프라 투자가 수조 달러 규모로 이어질 것으로 봄. 추론(inference) 변곡점 도래로 성장이 가속 중이라고 강조. 주가에 대해서는 직접적 가격 전망보다 사업 성장에 초점.
다듬은 글
How do you think about the stock? Do you Do you think about the stock? Do you Do you have perspectives on it? Uh you're so extraordinarily important and busy around driving all this innovation for in essence everything that's going on with 3,500 attendees and we had $40 trillion of market cap here. How do you How do you think about that?
Um well, I you know, of course I care about the stock. I I care about shareholders. I care about I care about our employees. I care about all of you. Um I the the my And and you might be referring to we just had the best earnings of earnings in the history of earnings. Is that what you were saying? I I I think the I think somebody actually told me that that this might be the the single best print in the in the history of humanity.
And and I I I said it must be only only, you know, recorded humanity. I'm not sure somebody uh had better returns. Uh but but anyways, uh we did we had a very good quarter. Listen, you can't hold the stock back. You can't hold it back. And the reason for that is very simple. Compute equals revenues for companies.
In the in the future, every single company will need compute for revenues. I'll just make that prediction for now. Every single company will need compute for revenues. And the reason for that is because compute translates to intelligence, which translates to your digital workforce, which translates to your revenues.
I am certain compute equals revenues. I'm certain also that compute equals GDP. Therefore, every country will have it because not one country in the future will say, "Guess what? You know, we're going to opt out on intelligence." We've got We got I don't know what we got, but we we don't need intelligence.
That's the one thing we don't need. Okay? And so, if you need intelligence, you're going to need digital you need AI you're going to need compute. And so, compute equals GDP. I know that for certain. I also know that we're at the beginning of this journey. And I I see crystal clearly exactly how it's going to get funded.
Um we know for a fact that all the CSPs took all of their CapEx and they converted to generative agentic systems, AI systems, because it helps search. Because it helps shopping. Because it helps ads. Because it helps social. Because it helps literally every single internet service in the world has been reinvented into generative AI.
So, they could take 100% the entire internet industry could take 100% of their CapEx and make it AI because it's better. We We've proven it to be better. Meta has proven to be better. Google has proven to be better. AWS has proven to be better. And so, you could now take your CapEx and convert it to this.
Number two, I just said the entire software industry will be token driven. The entire software industry. You pick your favorite software company and I can show you exactly how they're going to be token driven. And that token drip that that token um you take your favorite, you know, software company, their token will be either produced by themselves, which needs compute, or they could be resold and that needs compute.
And so, what that says for the first time is the entire IT industry will have to be fueled by compute. That's exactly where all this is going to come from. Trillions of dollars of it. And we're at the beginning of that. So, that's my prediction. Jensen, do you want to point out Someone said to me the stock's down 30 cents.
Your stock's up 22,000% in the last decade. Should we care about the last half hour? Well, I I guess we all do. Um you know, our our growth is accelerating at a larger scale. That's surprising for people. And um uh the end markets are really growing. You know, we've reached this point in AI called the in uh the inflection of inference.
And so, we've reached the inference inflection. And so, you know, our growth is accelerating. We would love to love to see everybody enjoy it.
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