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Google DeepMind CEO Demis Hassabis: AGI will emerge in 5 to 10 years
AGI promises to profoundly transform key sectors such as medicine and energy, as experts debate the timing and ethical challenges of its development
Isabella V17 March 2025

 

Demis Hassabis, CEO of Google DeepMind, predicts that general-purpose AI (AGI) could emerge within the next five to 10 years, leading to systems with human-like cognitive abilities.

Key Points:

  • AGI is AI with human-like cognitive abilities.
  • Its realization could improve industries such as medicine and energy.
  • Industry leaders have differing opinions on the timeline for AGI.
  • Safety and ethics remain central concerns in the development of AGI.


At a recent event, Hassabis noted that while current systems are impressive in certain areas, there are still tasks they cannot perform, indicating the need for more research to achieve AGI. Other technology leaders have differing opinions on the timeline for AGI. For example, Dario Amodei, CEO of Anthropic, predicts that AI that can outperform humans in nearly every task will emerge in the next two to three years. Cisco Chief Product Officer Jeetu Patel suggests that examples of AGI could appear as early as this year. However, Baidu CEO Robin Li believes that AGI is still more than a decade away.

Realizing AGI comes with significant challenges, including the ability of systems to understand real-world context. Hassabis highlighted the importance of developing models that can plan and reason in complex environments, transferring those skills from the gaming domain to the real world. He also stressed the need to establish international standards for the use of copyrighted materials in AI development, highlighting the importance of a global and diverse perspective in AGI development.

Despite the challenges, Hassabis remains optimistic about the potential of AGI to solve global problems, such as curing diseases and the energy crisis. However, he acknowledges that AGI could lead to significant societal changes, including the automation of many human jobs, raising philosophical questions about the meaning and purpose of human existence in an AI-dominated future.

Timeline predictions for AGI vary widely among experts, reflecting the inherent uncertainties in developing such an advanced technology. While some industry leaders predict that AGI is imminent, others suggest that it could take decades for such systems to become a reality.

This diversity of opinion underscores the complexity of the path to AGI and the importance of a thoughtful, collaborative approach to AI development.