Google DeepMind CEO Demis Hassabis said artificial general intelligence could arrive around 2030, "plus or minus a year," during a Stanford Graduate School of Business event last week. Hassabis attributed this timeline to advancements in 2026, when AI agents and tool-use capabilities became genuinely useful in work applications, providing developers a clearer view of the steps needed to reach AGI. His prediction enters an ongoing industry debate, with leading AI companies divided over how close current systems are to achieving human-level general intelligence across broad intellectual tasks.
Hassabis Warns Society Has Limited Time to Prepare for AGI
Hassabis stated that preparation for AGI's arrival can no longer be left to technologists alone. "Society needs to hear that because we don't have long to prepare for what that means. It's going to be enormously profound," he said at the Stanford event. He framed the moment as the beginning of a "new human era" and suggested that "when we look back at this time, I think that maybe 10 years from now, we'll realize that we were standing in the foothills of the singularity now." Hassabis described the next few years as "very critical" in determining how society collectively shapes the future with AGI.
Industry Leaders Offer Competing AGI Timeline Predictions
OpenAI CEO Sam Altman claimed last year that OpenAI knows how to build AGI "as we have traditionally understood it" and suggested AI agents could begin joining the workforce. SpaceX CEO Elon Musk said in December during an interview with XPRIZE Foundation executive chairman Peter Diamandis, "I think we'll hit AGI in 2026. I'm confident by 2030, AI will exceed the intelligence of all humans combined." Anthropic CEO Dario Amodei has also predicted AGI-level systems could arrive within the next few years. Eliza Labs founder Shaw Walters told Decrypt, "I think that we're at the inflection point where we have AGI. I completely believe that this is general intelligence."
Benchmark Tests Show Leading Models Score Below 1% on Reasoning Tasks
In March, the ARC Prize Foundation released its ARC-AGI-3 benchmark, which tests whether AI systems can learn and adapt in unfamiliar environments. Leading models from Google, OpenAI, Anthropic, and xAI scored below 1%, while human participants achieved perfect scores. Machine Intelligence Research Institute CEO Malo Bourgon told Decrypt that competing definitions of AGI complicate the debate: "There's a bunch of different definitions. When we start to talk about, is this system AGI? Is that system AGI? What precisely qualifies as AGI by what definition? I think that's kind of difficult to do."
FAQ
What timeline did Demis Hassabis give for AGI arriving?
Demis Hassabis said he expects AGI to emerge by 2030, "plus or minus a year," during a Stanford Graduate School of Business event last week.
How did leading AI models perform on the ARC-AGI-3 benchmark test?
In March, leading models from Google, OpenAI, Anthropic, and xAI scored below 1% on the ARC-AGI-3 benchmark, while human participants achieved perfect scores on the same test.
What did Elon Musk predict about AGI timelines?
Elon Musk said in December that he thinks "we'll hit AGI in 2026" and stated he is "confident by 2030, AI will exceed the intelligence of all humans combined" during an interview with Peter Diamandis.
