OpenAI has been predicting that AGI is imminent for a while, but its predictions now seem to come with a lot more conviction.
In a recent interview, Greg Brockman — co-founder and president of OpenAI — put to rest any lingering doubt about where he believes the technology is headed. Addressing the long-running debate about how far text-based AI models can go, Brockman argued that the question has already been answered, and the answer is AGI.
“There’s been this debate of how far will the text models go? How far can text intelligence go? Can you have a real conception of how the world operates?” Brockman said. “And I think that we have definitively answered that question. It is going to go to AGI. We see line of sight. And at this point we have line of sight to these much better models that are coming this year. And the amount of pain within OpenAI that we’ve had to decide how to allocate compute, that goes up not down over time. So I think that maybe the core of it is — in this moment, the kinds of applications that we’ve always dreamed of are starting to come into reach.”
On the timeline, Brockman was equally direct. “We are 70-80 percent there. I think it’s extremely clear that we’re going to have AGI within the next couple of years in a way that is still going to be jagged, but the floor of tasks will be for almost any intellectual task of how you use your computer. The AI will be able to do that,” he said.
Brockman’s comments sit within a broader chorus of increasingly confident AGI predictions from the top of the industry. Sam Altman has previously said that OpenAI now knows what it takes to build AGI — framing the remaining work as execution, not discovery. OpenAI’s VP of Research Aidan Clark went further in March 2026, cryptically posting that “when the book is written, AGI Day will be in today’s past” — widely interpreted as a hint that AGI, in some form, may already be here. Even Elon Musk, who co-founded OpenAI before departing, has endorsed the idea that AGI could arrive by end of 2026. Anthropic’s Dario Amodei has placed it in the 2026–2027 window.
What makes Brockman’s framing notable is its specificity about what AGI will actually look like in practice — not a theoretical milestone, but a system that can handle virtually any computer-based intellectual task. That’s a lower bar than some definitions of AGI, but arguably a more useful one: it describes something that would remake white-collar work almost overnight. The caveat that it will be “jagged” — capable in some areas, unreliable in others — is the honest part. But if the floor of tasks covers most of what knowledge workers do on their computers, the jagged edges may matter less than people expect.