The race toward artificial general intelligence (AGI) is no longer a distant scientific ambition but an increasingly near-term reality, according to one of the industry’s most influential figures.
Speaking during a fireside chat at the Stanford Graduate School of Business, posted Tuesday, Google DeepMind chief executive Demis Hassabis said AGI could emerge around 2030, a development he believes would mark one of the most profound technological shifts in human history.
“Maybe 2030, plus or minus a year, which is astounding to think, really. I think that will be such an enormous transformative technology; it’s gonna effectively be a new human era,” Hassabis said.
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His comments add to a growing chorus of predictions from leading AI executives who believe the industry is rapidly approaching a point where machines can perform cognitive tasks at or beyond human capability across a wide range of domains.
For years, AGI has largely existed as a theoretical milestone. Today, however, advances in large language models, reasoning systems, autonomous agents, and multimodal AI have pushed discussions about AGI from academic circles into boardrooms, government agencies, and financial markets.
Hassabis likened the arrival of AGI to a technological singularity, a moment when the pace of innovation accelerates so dramatically that society struggles to predict or control its consequences.
The remarks are significant because they come from the leader of one of the world’s most advanced AI research organizations. DeepMind has been responsible for some of the industry’s most important breakthroughs, including systems capable of solving complex scientific problems that were once considered beyond the reach of machines.
Unlike some of the more sensational predictions that have accompanied the AI boom, Hassabis struck a measured tone, cautioning against excessive certainty. He suggested some industry leaders may be overstating their confidence in forecasting exactly how the technology will develop and what effects it will have. Yet he left little doubt that he believes transformative change is approaching rapidly.
The comments also highlight a growing consensus among major AI laboratories that the next phase of AI development will have consequences extending far beyond technology. Over the past two years, executives at leading firms have repeatedly warned about potential disruptions to labor markets, education systems, and economic structures.
Sam Altman has previously warned that AI could eliminate large categories of jobs, while Dario Amodei argued that up to half of entry-level white-collar roles could disappear within the next five years.
More recently, however, many AI leaders have moderated some of their more alarming rhetoric, focusing instead on productivity gains, scientific discovery, and economic growth. For instance, Altman recently admitted that he was wrong about his projection on AI’s impact on white-collar jobs.
Hassabis emphasized the potential benefits of AGI, arguing that advanced AI could accelerate breakthroughs in medicine, biology, materials science, and other research fields. Such advances could dramatically reduce the time required to develop new drugs, tackle complex diseases, and solve scientific challenges that currently take years or even decades to address.
He also pointed to the possibility of sweeping economic transformation, raising the prospect of a “post-scarcity” future in which intelligent machines help produce abundant goods and services at dramatically lower cost. The concept has frequently been discussed by futurists and technology leaders, including Elon Musk.
Profound Questions Around the Promise of AGI
Economists, policymakers, and business leaders are increasingly debating how societies will adapt if AI systems become capable of performing much of the knowledge work currently undertaken by humans. Questions surrounding employment, income distribution, education, cybersecurity, and governance are becoming central to discussions about the technology’s future.
That is why Hassabis argued that preparation cannot wait until AGI arrives.
“Society needs to hear that because we don’t have long to prepare for what that means,” he said.
His message was directed not only at governments and businesses but also at students and workers preparing for careers in an increasingly AI-driven economy. He urged people from both humanities and STEM disciplines to engage with the technology rather than ignore it.
Across the technology industry, AI is no longer being viewed merely as a productivity tool or software upgrade. Increasingly, leading researchers describe it as a foundational technology that could reshape economic systems, geopolitical competition, and human productivity on a scale comparable to the industrial revolution or the emergence of the internet.
Whether AGI arrives by 2030 remains uncertain. Predictions have historically varied widely, and many experts continue to argue that significant technical hurdles remain. Nevertheless, the fact that leaders at the forefront of AI development are discussing such timelines with growing confidence is influencing investment decisions, government policy, and corporate strategy worldwide.