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Google DeepMind's Demis Hassabis Predicts Rapid Arrival of AGI

Demis Hassabis, CEO of Google DeepMind, predicts AGI could arrive by 2030, urging society to prepare for its implications.

Mercation Admin
June 4, 2026 2 min read
Google DeepMind's Demis Hassabis Predicts Rapid Arrival of AGI

Demis Hassabis Predicts Near Arrival of AGI

Demis Hassabis, the CEO of Google DeepMind, forecasts that artificial general intelligence (AGI) could be realized by around 2030, emphasizing the urgency for society to prepare for its potential economic and social ramifications.

Speaking at an event at Stanford Graduate School of Business, Hassabis characterized AGI as a significant leap in AI technology, suggesting it will enable machines to perform a wide range of intellectual tasks at human-level proficiency. He stated, "I am convinced that we are only a few years away from that, perhaps around 2030, plus or minus a year, which is truly remarkable to consider."

Hassabis highlighted 2026 as a crucial milestone, predicting that advancements in AI will begin to show tangible benefits across various fields, thereby paving the way towards achieving AGI. He stressed that awareness and preparation for AGI cannot be the sole responsibility of technologists, urging society to engage with the implications of this technology.

"We do not have much time to get ready for its implications. It will be incredibly significant," he remarked, adding that the next few years will be pivotal in shaping the future of AGI.

The dialogue surrounding AGI's timeline has been intensifying, with other industry leaders like Sam Altman of OpenAI and Elon Musk suggesting that AGI could be developed in the near future. Musk, in a December interview, predicted AGI could emerge by 2026, while Altman indicated that OpenAI has the knowledge to create AGI as traditionally defined.

Conversely, some experts believe AGI has already been achieved, with existing models meeting its criteria, while skeptics argue that current AI lacks human-like reasoning skills. The discrepancy in definitions of AGI complicates the discussion, as highlighted by Malo Bourgon, CEO of the Machine Intelligence Research Institute, who pointed out that differing interpretations make it difficult to determine when AGI is truly reached.

Despite the debates, Hassabis remains optimistic about the rapid pace of technological advancement, asserting, "The next decade will bring changes that likely exceed current expectations."