Jensen Huang isn’t waiting for the academic consensus. The Nvidia CEO has declared that artificial general intelligence, the holy grail that AI researchers have chased for decades, is already here.
“I think it’s now. I think we’ve achieved AGI,” Huang said during an appearance on the Lex Fridman podcast on March 23. Coming from the man whose company supplies the computational backbone for nearly every major AI lab on the planet, it lands differently.
Redefining the finish line
During Nvidia’s Q2 2026 earnings call on August 27, Huang doubled down on the claim. “For many tasks, we could say that we’ve already achieved AGI,” he told analysts and investors.
He went further, dismissing traditional AGI benchmarks as “kind of senseless.” Instead of measuring whether AI can match or surpass human cognition across the board, Huang argues the real metric should be whether AI systems can generate what he calls “profitable tokens,” essentially productive economic output from real work.
400,000 AI agents and counting
Nvidia is building toward a workforce model where over 400,000 AI agents operate alongside roughly 40,000 human employees. The company envisions these agents handling tasks across engineering, operations, and business functions.
On the hardware side, Nvidia has discussed GPU deployments involving over 1.5 million chips in a single generation, powering what the company calls “AI factories.” These are purpose-built facilities designed to produce intelligence as an industrial output.
A convenient disagreement with OpenAI
Huang’s definition of AGI puts him at odds with OpenAI. The Sam Altman-led company has maintained a more formal definition, describing AGI as systems that outperform humans across a majority of economically valuable tasks.
The disagreement isn’t just academic. OpenAI’s AGI definition is baked into its corporate governance structure, with specific provisions tied to what happens when AGI is achieved. For OpenAI, declaring AGI means triggering contractual and organizational changes. For Nvidia, declaring AGI means selling more hardware to companies racing to build on top of it.
Huang credited OpenAI’s contributions to reaching this moment, acknowledging the role its models have played in demonstrating what’s possible with scaled compute.