Google DeepMind CEO Demis Hassabis has reiterated his stance: The wider industry impact

He previously said that there’s a 50% chance of achieving AGI by 2030.

Despite claiming “the fastest progress” in the industry with the company’s Gemini 3.0 models, Hassabis stated that true AGI remains 5 to 10 years away and will require one or two additional major breakthroughs. Google DeepMind CEO Demis Hassabis has reiterated his stance on achieving artificial general intelligence (AGI) – a hypothetical type of AI with human-level intelligence.

Google hits $3 trillion: How Alphabet became the fastest to reach the milestone Improved reasoning: The models require significantly better capacity for logical thought, and stronger memory: The ability to retain and utilise information over longer contexts must be enhanced. He reiterated that while Gemini 3 is performing as expected, achieving AGI remains 5 to 10 years away and contingent upon those fundamental breakthroughs.

Hassabis expressed satisfaction with the development of Gemini 3, which he expects will “pleasantly surprise” the public, noting that the model is “dead on track” with the rapid trajectory DeepMind has maintained since the beginning of the Gemini project While talking in an interview. And perhaps things like world model ideas that we’re working on with Gemini,” he said. Hassabis confirmed that DeepMind is currently working on these “world model ideas” to extend the capabilities of the Gemini architecture. “I still think there’ll be one or two more things that are required to really get across the board that you’d expect from general intelligence,” Hassabis said. In a post on X, Hassabis said that “Students in the US (and many other countries) can get their hands on all the Gemini 3 Pro goodness for free!”

“But on top of that. I still think there’ll be one or two more things that are required to really get across the board that you’d expect from [artificial] general intelligence and also the improvement on reasoning and memory.