Jensen Huang dropped a rhetorical bomb on Nvidia’s earnings call Wednesday: the company has “achieved AGI.” Then, almost in the same breath, he dismissed the entire concept as “senseless.” Asked about OpenAI’s pursuit of artificial general intelligence, Huang said that for Nvidia, “for many tasks, we could say that we’ve already achieved AGI.” He offered no benchmark, no definition, no measurable standard. What he did offer was a reframe: forget milestones. What matters is whether AI is “doing productive and useful work” and “generating profitable tokens.” More compute means more tokens means more profit — and that, Huang said, is “the exact phase where we’re at.” It’s a convenient position for a company selling the shovels in this gold rush.
This isn’t the first time Huang has made the claim. In March, on the Lex Fridman podcast, he stated plainly, “I think we’ve achieved AGI.” When Fridman proposed a hyper-specific definition — an AI that could start, grow, and run a successful tech company worth over $1 billion — Huang walked it back: “the odds of 100,000 of those agents building Nvidia is zero percent.” So AGI is achieved, except when it means anything concrete. The goalposts move depending on who’s holding them.
Huang isn’t alone in exploiting the term’s fuzziness. OpenAI’s charter defines AGI as systems that “outperform humans at most economically valuable work” — a phrase Sam Altman himself has admitted is “not a super useful term.” Microsoft’s agreement with OpenAI reportedly defines it differently: systems generating at least $100 billion in profits. Anthropic’s Dario Amodei calls AGI a “marketing term.” Meta pushes “personal superintelligence,” Microsoft “humanist superintelligence,” Amazon “useful general intelligence.” Google DeepMind’s Demis Hassabis talks about the “foothills of the singularity.” Each new coinage obfuscates more than it clarifies.
Here’s the Inblix angle: the AGI conversation has become a Rorschach test where the only consistent pattern is self-interest. Huang benefits from declaring AGI achieved because it shifts focus to compute demand — Nvidia’s core business. OpenAI benefits from keeping AGI perpetually “80% of the way” there, per chief research officer Mark Chen, because proximity to the milestone justifies continued investment. The term isn’t a technical benchmark anymore. It’s a fundraising instrument. So expect the AGI chatter to continue, not because anyone has figured out what it means, but precisely because no one has. Maybe an actual AGI will eventually arrive and define itself. Until then, the term remains what Huang called it: senseless.
