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Jensen Huang: Agentic AI is fully accretive for software companies

CNBC Television · 2026-05-05 · 유튜브 시청 139,691 · Board Views 7 · International

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저자: JensenHuang/BillMcDermott · 외국인

요약 보기

젠슨 황과 빌 맥더모트는 에이전틱 AI가 소프트웨어 산업의 큰 전환점이라고 주장. 서비스 산업은 소프트웨어 산업보다 100배 크다며, AI 에이전트의 신원관리·접근통제 수요가 커진다고 설명. 맥더모트는 ServiceNow가 2030년까지 매출 300억 달러 이상 달성 목표를 제시하고 2026년 매출 약 160억 달러, RPO 280억 달러를 근거로 제시. 황은 AI 연산량이 2년간 1000% 증가했고 에이전틱 AI 투자 수익이 소프트웨어 기업에 누적적(accretive)이라고 평가.

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01. Let's get out to John Fort. He is in Las Vegas. The both shares are fractionally lower, John, but with more in what does sound like a very big announcement. It's all for sure, Kelly. Thank you. I am here with Bill McDermott and Jensen Huang. Hey guys, we're on. We're live. Um Bill, thanks for having me once again here at Knowledge.

02. Jensen, always great to see you. Bill, I want to start with just the market temperature. I'm looking at this and ServiceNow is being priced like Microsoft on earnings, like Oracle on revenue, despite growing one and a half to two times faster than either one of them. But you made some projections today that maybe are going to catch the street's attention on some of that.

03. Tell me about what gives you the confidence to say you're going to hit 30 billion plus sub revenue by 2030. When I came in in 2019, we were a three and a half billion dollar company. Now we add a ServiceNow every year. This year we're projecting to be nearly a 16 billion company. Right now we have a 28 billion RPO.

04. So we're growing faster than any other enterprise software company at scale in the world ever ever happened. We yesterday said to the financial analysts we were going to double the company again and we would do that by 2030. And the company right now is really focused on a couple of things. One is agentic business.

05. You know, we have to be the agentic front door. We work with great companies like Nvidia, the great Jensen, the great Nvidia. We announced project Arc. You'll hear about that today, I'm sure. Jensen will have some thoughts on it. But we want to manage the identities of the humans and the agents. We treat the agents just like the humans.

06. So the rules and rails can complement this great AI revolution. The enterprise is a pretty messy thing. So we clarify it, we clean the mess up, and we make sure that the AI is secure, and I think that is a big breakthrough. And we told that story yesterday, and people really liked it. Jensen, tell me about I mean, this is at least the third time that I'm seeing you here at Knowledge.

07. Uh we're talking with an application software company. You've talked about this five-layer cake with energy, chips, you know, platform, and applications at the top necessary to really make AI work. Why is the application layer not just important, but long-term profitable, do you think? Why does that need to happen, and why is why is ServiceNow one to watch for you?

08. This is one of the greatest transformations for the software industry ever. For for the first time, service is software. Service software is service. And the service industry is 100 times larger than the software industry. And so now, for the very first time, you're going to have human agents that are of course managed and supported by ServiceNow, augmented with AI agents that are going to be working autonomously, working with humans, and they're all going to need identity management, access control, network control.

09. All of the things that companies do with respect to regulation and compliance and governance, all of that has to be provisioned, whether you're human or an agent. And in the future, of course, out at the edge, robotic systems. These all of these autonomous systems, the time has now finally come. Now, of course, for our industry, for the rest of the five-layer cake, it's completely revolutionary because AI agentic AI needs to be processed in real time.

10. Unlike software of the past that's pre-recorded, you could put it in storage, retrieve it as you need it. Today's software needs to be processed completely in real time. The amount of computation necessary from generative AI 2 years ago to now a genetic AI, it has gone up a thousand percent because the AI now has to read a lot more, use tools, reason, generate a lot of tokens.

11. Not only that, the amount of use has gone up orders of magnitude because now for the first time AI is doing work. It's doing useful work and the return on that investment for software companies for agentic companies like ServiceNow is completely accretive. And so that time has finally arrived.

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