Demis Hassabis, co-founder and CEO of Google DeepMind, believes artificial general intelligence will arrive around 2030. Hassabis, who won the 2024 Nobel Prize in Chemistry for his work on AlphaFold2 alongside colleague John Jumper, described humanity as standing in the “foothills of the singularity.” His message is straightforward: society has only a few years left to prepare for what he calls “a new human era.”
The timeline just got shorter
Hassabis previously estimated AGI could emerge somewhere between 2030 and 2035. That window has now compressed to roughly 2029 to 2031.
Hassabis acknowledged that significant technical challenges remain. Physics modeling, memory functions, consistency in outputs, and the capacity for continual learning are all areas where current systems fall short. But he framed these as solvable engineering problems rather than fundamental barriers.
He also characterized today’s AI agents as essentially a “practice run” for AGI.
What AGI could actually do
Hassabis has pointed to scientific discovery and drug development as two fields where AGI could be revolutionary. AlphaFold2 predicted the 3D structures of virtually every known protein, a task that had stumped biologists for decades. Beyond the lab, AGI is expected to drive broader productivity gains across sectors ranging from manufacturing to finance to creative industries.
What this means for crypto and decentralized infrastructure
Coverage in crypto outlets suggests potential growth in decentralized AI infrastructure, including decentralized compute networks, data marketplaces, and platforms supporting AI agents, but does not cite any specific tokens linked to these developments.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.

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