Demis Hassabis, the chair of Google DeepMind and chief scientist at Alphabet, has recently revised his predictions, forecasting that artificial general intelligence (AGI) could be just two to three years away. In a profile published in the Wall Street Journal Magazine by Ben Cohen on October 21, Hassabis expressed his belief that the timeline for achieving human-level AI has been decreasing, moving from an initial estimate of three to five years earlier this year.
This revised outlook is a significant departure from the estimates he provided at the World Economic Forum in Davos back in January, where he suggested AGI was still five to ten years away, with a roughly 50% chance of materializing by the end of the decade. By February, during the India AI Impact Summit in New Delhi, he indicated that AGI might be achieved within five years. He also introduced the “Einstein Test,” a benchmark for assessing AGI by seeing if a system trained exclusively on knowledge up to 1911 could independently derive general relativity as Einstein did. In May, during Google I/O, Hassabis hinted that AGI was “just a few years away” and likened current AI agents to a practice run, noting, “We can see agents really happening now, and imagine what they will be in another year.” Now, his estimate has tightened to just two to three years.
Hassabis has made it clear that this revised timeline is not merely a prediction but also serves as a call to action. After the Google I/O event, he told Axios that he had chosen direct language to spur urgency among governments, economists, and the public, emphasizing that his words were intended to increase awareness of the situation rather than solely serve as forecasts.
He is bolstered in his view by what he perceives as a promising trajectory in the industry, regarding the development of AGI. His definition of AGI remains consistent: a system capable of exhibiting a full range of human cognitive abilities, rather than excelling at just one narrow task. What has changed is his perception of how quickly current AI systems could reach that level.
Hassabis is not the only one with an accelerated timeline. Anthropic’s CEO, Dario Amodei, stated at Davos in January 2025 that AI systems outperforming most humans across various tasks could also emerge within the next two to three years—aligning closely with Hassabis's current estimate. While both leaders come from competing organizations, their convergence on a similar timeline suggests a noteworthy trend, though it does not provide definitive proof that their schedule is accurate.
For investors and founders, the collapsing timeline offers significant implications. Decisions regarding capital allocation in AI infrastructure, enterprise contracts, and staffing all depend on expectations about how quickly advancements will occur. At the beginning of the year, Hassabis projected a five to ten-year development period for AGI, but by October, his assessment was that it is imminent. This shift effectively shortens the planning horizon for the market, independent of whether the anticipated technological breakthroughs actually materialize as forecasted.
The Einstein Test remains theoretical, with no known systems currently demonstrating the ability to pass it. Nevertheless, Hassabis's timeline has notably tightened throughout 2026, from five to ten years in January to just two to three years by October. Google DeepMind continues to compete with OpenAI and Anthropic in the race to deliver more advanced AI systems, and time is clearly of the essence.
