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As artificial general intelligence looms on the horizon, Google DeepMind’s Demis Hassabis calls for immediate action to ensure society is ready.
In a stark warning at Google's developer conference last week, Demis Hassabis, CEO of Google DeepMind, stated that humanity stands in the "foothills of the singularity." AGI, or artificial general intelligence, could arrive within four years, he predicts, emphasizing the urgent need for preparation. This isn't just a matter of technological advancement; it's about ensuring our society can handle the profound changes ahead.
Hassabis’s warning is rooted in the growing confidence that the AI industry has found the right technical path. Speaking with Axios after his appearance at Google I/O, he explained, "We can see agents really happening now and imagine what they will be in another year, and how useful they'll be." This shift from theoretical to practical is significant, as it means AGI isn’t just a distant possibility but an impending reality.
The implications of this are vast. AGI could revolutionize industries, solve complex problems, and even enhance human capabilities. However, it also poses significant risks, including job displacement, ethical concerns, and the potential for misuse. Hassabis's urgency is not just about technological achievement; it’s about ensuring that society can navigate these challenges responsibly.
Hassabis still broadly expects AGI around 2030, though he now sees 2029 as a possibility. The next wave of AI agents should be viewed as a societal stress test for far more powerful systems still to come. "You can imagine the agentic era in this next year is a little bit like a practice run," he said. This means that while these agents will be advanced, they are also an opportunity to identify and address potential issues before AGI fully arrives.
The agentic era refers to AI systems that can act autonomously and make decisions in complex environments. These agents could range from virtual assistants to more sophisticated bots capable of performing tasks in the real world. As they become more prevalent, they will test our regulatory frameworks, ethical standards, and societal norms. For example, how do we ensure these agents are transparent, accountable, and aligned with human values?

Regulators and policymakers must be proactive in setting guidelines and standards for AI development and deployment. This includes addressing issues such as data privacy, algorithmic bias, and the impact on employment. The European Union’s General Data Protection Regulation (GDPR) is a step in the right direction, but more comprehensive frameworks are needed globally.
The urgency of Hassabis's message cannot be overstated. As AGI approaches, the decisions we make now will shape our future. We must balance innovation with responsible governance to ensure that AI benefits society as a whole. This involves fostering international cooperation, promoting transparency in AI research, and engaging diverse stakeholders in the conversation.
The societal stress test provided by the agentic era is crucial. It offers a window of opportunity to address potential issues before they become insurmountable. For example, the rise of anti-tech extremism, as warned by U.S. Law enforcement, highlights the growing public concern over AI and its impact on jobs and privacy. By addressing these concerns proactively, we can build trust and ensure that AI is developed in a way that aligns with societal values.
Hassabis’s warning serves as a call to action. The path to AGI is clear, but the road ahead requires careful navigation. By preparing now, we can ensure that when AGI arrives, it will be a force for good rather than a source of chaos.
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Original Sources
DeepMind CEO predicts AGI in 2030
↗ https://www.axios.com/2026/05/26/deepmind-ceo-demis-hassabis
About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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3 June 2026
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