Humans have been writing for thousands of years and AI for just three, but soon almost all knowledge generated will come from AIs, not humans.
That’s the prediction from Jensen Huang, CEO of NVIDIA, the chipmaker whose GPUs have become the backbone of the AI revolution. Speaking about the future of knowledge creation, Huang offered a timeline that may surprise many: within two to three years, he estimates that 90% of the world’s knowledge will be generated by artificial intelligence. But rather than sounding an alarm, the tech leader suggested this transformation might be less dramatic than it appears—and perhaps even inevitable.
“More and more of knowledge in the world will be generated synthetically going forward,” Huang explained on the Joe Rogan podcast. “Until now, the knowledge that we have, or knowledge that we generate and we propagate and we send to each other and we amplify it, and we add to it and we modify it, we change it. In the future, in a couple of years—maybe two or three years—90% of the world’s knowledge will likely be generated by AI.”
But Huang was quick to address the elephant in the room. “But it’s just fine,” he insisted. “I know. And the reason for that is this: What difference does it make to me that I am learning from a textbook that was generated by a bunch of people I didn’t know, or written by a book from somebody I don’t know, to knowledge generated by AI computers that are assimilating all of this and re-synthesizing things to me? I don’t think there’s a whole lot of difference.”
The NVIDIA chief emphasized that the fundamental approach to consuming information won’t change. “We still have to fact check it. We still have to make sure that it’s based on fundamental first principles. And we still have to do all of that just like we do today.”
Huang’s prediction arrives at a moment when AI-generated content is already proliferating across the internet. The internet now has more AI-written content than human-written content, with Large language models writing articles, generating code, producing research summaries, and creating educational materials at scale. Companies like OpenAI, Anthropic, and Google are racing to develop more capable AI systems, while NVIDIA’s chips power the data centers making it all possible. The implications are profound: if Huang’s timeline proves accurate, we’re on the cusp of a fundamental shift in how human knowledge is created, curated, and distributed. The question isn’t whether AI will generate most new content—Huang suggests that’s essentially inevitable—but whether society can adapt its verification systems, educational approaches, and critical thinking frameworks fast enough to navigate a world where the vast majority of information originates not from human authors, but from synthetic minds trained on human knowledge. The transition from knowledge consumers to knowledge validators may be the defining challenge of the next decade.