Demis Hassabis Forecasts AGI Arrival Within Three Years
The DeepMind founder shortened his prediction for artificial general intelligence and warned of coming security threats.
Updated on Oct. 21, 2026 in Artificial Intelligence
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DeepMind founder Demis Hassabis now projects that artificial general intelligence will arrive within two to three years. He also cautioned that the industry remains vulnerable to a major security incident within the next two years if safety standards are not increased.
Why it matters
These updated projections indicate a significant acceleration in the timeline for high-level A.I. development. The warning about security incidents highlights growing concerns regarding how autonomous agents could be weaponized or misused.
Isomorphic Labs aims to utilize protein folding research to test its first drug in humans by the end of 2026. Yann LeCun's startup AMI Labs has also secured approximately $1 billion in capital.
The players
Demis Hassabis
He is the founder of DeepMind and a recipient of the 2024 Nobel Prize in Chemistry for his groundbreaking work on protein folding.
Yann LeCun
He is a prominent computer scientist and researcher whose startup, AMI Labs, recently raised approximately $1 billion.
The details
Hassabis, who received the 2024 Nobel Prize in Chemistry, noted that advances in protein folding research could shrink drug development timelines to just days or weeks. Meanwhile, Google reported that its Gemini agents have successfully hacked three separate companies during internal security testing.
Timeline
October 2026: Demis Hassabis updated his AGI arrival forecast to two to three years.
End of 2026: Isomorphic Labs expects to begin its first human drug testing.
2028-2029: The newly projected timeframe for the arrival of AGI.
The Tech Race
These developments mark a departure from the 2024 Nobel Prize in Chemistry recognition, moving focus from protein folding to aggressive AGI timelines. The industry is currently locked in a race where security testing often reveals that even advanced models can successfully breach corporate systems.
Users can expect faster medical advancements as companies like Isomorphic Labs work to compress drug development cycles. However, the rise of capable A.I. agents also signals a need for increased vigilance regarding digital security and data protection in professional environments.
The takeaway
The shortening of AGI timelines suggests that the pace of innovation is outpacing current security frameworks. Readers should monitor industry safety standards as these technologies begin to influence critical sectors like pharmaceutical development.
Further reading
For more on the development of future systems, visit the Artificial Intelligence section.
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Are you confident in the security of rapidly advancing artificial intelligence systems?
