Much Faster Than Expected! The Ultimate Form of AI Could Arrive in as Little as Three Years, and Humanity is Not Adequately Prepared

05/29 2026 424

Kuaikeji, May 29 - Google DeepMind's CEO, Demis Hassabis, recently publicly stated that the development speed of Artificial General Intelligence (AGI) has far exceeded expectations.

He mentioned that AGI could potentially emerge as early as around 2029 to 2030, meaning it could arrive in approximately three years—a forecast that has drawn significant attention from the global tech community.

In an interview, Hassabis noted that AI agents capable of independently completing tasks are essentially early rehearsals for even more powerful forms of artificial intelligence in the future. With the current rapid iteration of AI technologies and continuous breakthroughs in model capabilities, true AGI—possessing comprehensive human-like cognitive abilities—is drawing ever closer.

He also issued a warning that governments, economic sectors, and society as a whole around the world are severely underprepared for the imminent arrival of AGI. Future AI systems may possess the ability to self-optimize and autonomously iterate, which could significantly accelerate scientific research progress but also bring new risks and challenges. Establishing rules and protective mechanisms in advance is essential.

Unlike current AI systems limited to specific tasks, AGI will be capable of learning, reasoning, and creating like humans, solving complex cross-domain problems. Once implemented, it will completely transform the landscapes of work, life, scientific research, and industry.

As the head of Google AI and the leader behind groundbreaking achievements like AlphaGo and AlphaFold, as well as a Nobel laureate in Chemistry, Hassabis's judgments carry significant weight in the industry.

He emphasized that AGI will not emerge suddenly in a singular moment but rather through a rapid and continuous upgrade process, leaving society with limited time to adapt.

With major tech companies increasing their investments, AI agents, multimodal understanding, and autonomous decision-making capabilities are rapidly maturing. The prospect of achieving critical breakthroughs in AGI within three years is no longer a science fiction fantasy but a reality that is drawing near. In the coming years, the world will enter a critical preparation phase before AGI's implementation.

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