Google DeepMind CEO: AGI arriving by 2030, society must prepare now
In brief
- Hassabis projects AGI arrival by 2030, plus or minus one year
- Society must prepare for AGI; technologists alone cannot shoulder burden
- 2026 marked turning point for AI agents and tool-use capabilities
- Leading AI models score below 1% on ARC-AGI-3 benchmark
The Timeline
Hassabis expects AGI by 2030, plus or minus a year. He called this timeline "astounding to think" and noted that 2026 marked a turning point with AI agents and tool-use capabilities becoming genuinely useful in people's work. The CEO framed the next decade as pivotal—everything will change, probably more than most people assume.
This forecast aligns with other prominent voices in AI. Elon Musk predicted in December that AI will hit AGI in 2026 and will exceed the intelligence of all humans combined by 2030. Sam Altman, CEO of OpenAI, claimed that OpenAI knows how to build AGI as traditionally understood.
The Measurement Problem
Yet defining AGI remains contested. The ARC Prize Foundation released the ARC-AGI-3 benchmark in March, which tests whether AI systems can learn and adapt in unfamiliar environments. Leading models from Google, OpenAI, Anthropic, and xAI scored below 1% on the ARC-AGI-3 benchmark, while human participants achieved perfect scores.
Some researchers argue current models already qualify. Shaw Walters, founder of Eliza Labs, stated that current frontier models already meet the definition of AGI. Others see a gap. Malo Bourgon, CEO of Machine Intelligence Research Institute, noted that competing definitions of AGI make it difficult to determine when the milestone has been reached.
The Preparation Question
Hassabis's core argument centers on preparation. Hassabis argued that society does not have long to prepare for AGI and that preparation cannot be left to technologists alone. The CEO framed this as a civilizational challenge, not merely an engineering one.
"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." — Demis Hassabis, CEO of Google DeepMind
The gap between technologist timelines and public readiness remains wide. Whether society can close that gap in the next decade is an open question.
