Nvidia CEO Jensen Huang: We're looking at the beginning of the next wave of AI

NVIDIA and Accenture shares both getting a boost after expanding their partnership to help companies adopt AI and it involves creating an NVIDIA business group within Accenture and training 30,000 employees on NVIDIA's AI tools and platform. We're joining us now exclusively our NVIDIA CEO, Jensen Huang, and Accenture CEO, Julie Sweet. Jensen, Julie, great to see you, Julie, joining us from across the pond in London even. So welcome. Jensen, so let's talk scaling AI adoption here. Why is this partnership important for companies being able to understand the measurable ROI they can expect and helping businesses adopt agents? Yeah, it's great to see you. Hi, Julie. Hey, John. Hi, Jensen. So first of all, the last 10 years, we've been focused on reinventing the computer, getting it ready for generative AI. And what we're going through right now, the first wave of AI is modernizing all of the world's data centers. A trillion dollars worth of data centers being reimagined and modernized to be prepared for generative AI. And a lot of our focus has been in the cloud, in data centers and such. What we're looking at now is the beginning of the next wave of AI, the biggest wave of AI. And this is really about companies around the world using AI to be more productive as their digital employees and AI agents and co-pilots and however people describe them, as well as using AI, generative AI, to revolutionize the way they build their products and the products they build. And so we've created two operating systems to be able to do that. One of them, of course, is large language models with Nemo and NIM and all of our AI factories work. And the other operating system is Omniverse that allows us to represent digital information that is for the world of space time. And these two operating systems are fundamental technologies, of course, but ultimately, in order to drive business impact, we're going to need a transformer, a transducer, somebody who is the connecting fabric between our enabling technology that we build in AI Foundry and Omniverse and connecting it to customers and their business impact. And that's Accenture. I can't imagine a better partner. Julie and I imagined this partnership about four months ago. And after that, our two engineering teams and research teams swarmed the building of a new platform that Accenture calls AI Refinery that helps customers build AI agents and co-pilots and AIs that help them use tools and access proprietary information and to be able to perform tasks and drive productivity. And we're working together across the agents space for employee co-pilots, as well as the metaverse place, Omniverse space for digital manufacturing. So we've got a really big partnership. OK, and Julie, give us the big picture here for you strategically. Last year, you told us Accenture is going to invest $3 billion over three years in your data and AI practice that you double your AI talent headcount to $80,000. How much of that $3 billion and $80,000 is going to be focused on the NVIDIA stack? Well, NVIDIA stack is a great example of exactly how we're investing, because we're investing to actually help our clients accelerate their use of Gen AI to go faster. And by the way, we're using it at Accenture. So one of the things that Jensen and I agreed from the beginning was we need to have Accenture be our own best credential using this technology. And most importantly, we rewired our marketing function to get our campaigns to actually have 35 percent less steps. And that's what Jensen talks about. The transformation piece of this is we're not taking technology and just applying it to what we do today. We're rewiring. We're doing the same on the manufacturing site. You probably don't know, John, but we have at Accenture a million square feet of manufacturing space. We manufacture customized automation robotics, and we're using the combination of AI Foundry and Omniverse starting in the design cycle to turn to reduce that design cycle on those customized robotic automations by 50 percent. We're at the beginning. We're rolling it out. But we're demonstrating that agentic architecture is real, it's scalable, and we can use that engine across and leverage the digital cores and the Gen AI investments our clients are already making.