Huang said, “A trillion dollars is a huge amount of infrastructure; you have to have complete confidence that the trillion dollars you are putting in will be used, will perform, will be incredibly cost-effective and will have a useful life for as long as you can see.”
Huang argued that that “full confidence” is coming from the belief that demand for AI will grow rapidly due to rapid developments in agentic AI. This belief is based on a new token-powered AI economy that he previously detailed in the company’s latest earnings report. That new revenue model is based on the increasing importance of inference with the proliferation of agentic AI models.
As agentic AI hype dominates Silicon Valley and models mature, the amount of data managed by AI systems expands, and the importance of inference outweighs that of training. The inflection point of this new order came with Anthropic’s Cloud Code AI Agent, Huang argued.
“Cloud code has revolutionized software engineering,” Huang said. “There is not a single software engineer [at Nvidia] Who doesn’t get aided by one or several AI agents helping them code today?
At several points in his more than two-and-a-half hour long keynote address, Huang compared agentic AI to other fundamental technological breakthroughs, at one point calling it a “new computer.”
“Every single SaaS company will become an AgaaS company, an agent as a service company,” Huang predicted.
This isn’t the first time Huang has praised agentic AI and how it’s reshaping the tech industry, and it likely won’t be the last. In January, agentic AI and the importance of inference were center stage at the launch of Nvidia’s Rubin platform. Just a few weeks before that, the company made its biggest purchase to date by acquiring Groke (not Grok), a chip maker that specializes in estimating.
The fruits of Nvidia’s renewed mission were three announcements: a big push in CPUs, Nvidia’s first Grok chips that the company will ship in the second half of the year, and a collaboration with OpenClaw, the open-source AI agent software that made waves with its viral success earlier this year, having launched under a different name just a few months earlier.
“OpenClaw is essentially an open-source operating system for agentic computers,” Huang said. “It’s no different than how Windows made it possible for us to build personal computers.”
He then talked about how, in the rise of the Internet, every company needed an “HTML-strategy” and now, in the age of AI agents, every company will need “an OpenClaw strategy.”
But OpenClaw is a bit of a wild card. The agent needs full access to your computer and your files to create a cybersecurity minefield. Top tech companies and even the Chinese government have reportedly advised employees against trusting OpenGL and similar agentic AI platforms due to security fears. Giving an AI unlimited control over your computer also has the potential to pose some big risks, like OpenClaw’s AI agent deleting your entire inbox, which is exactly what happened to a Meta executive last month.
In an effort to address at least some of those concerns, Huang unveiled NeoClaw, Nvidia’s attempt to make OpenClaw reportedly more secure and private for enterprise use.
Nvidia’s push into the OpenGL world also symbolizes the company’s desire to be more competitive in the open-source space, given its role as an emerging open-source model provider to further drive global reliance on the company’s hardware.
On top of the speculation-focused announcements, Huang also announced that the company is working on a new Vera Rubin computer to be used in space-based AI data centers, and will partner with Hyundai, Nissan, and top Chinese automakers BYD and Geely to build 18 million robotaxis each year.
The finance world is tired of the billion-dollar AI investments and spending commitments it once loved, and the rapid growth trajectory for AI is putting pressure on the demand it once firmly believed in. You can see by how much this skepticism has grown over the past few months that it has become increasingly difficult to please investors with each announcement.
According to Bloomberg, investors have grown concerned that Nvidia’s revenue growth may have peaked, sending shares down 5.5% the day after last month’s stellar earnings report. Huang’s announcements on Monday and his confidence in agentic AI may not have changed that outlook, with the company’s shares down a little less than 1% after markets closed despite a typically stock-spiking keynote speech.
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