Google’s AI Chief Demis Hassabis Says AGI Is Now “On The Horizon”

Google DeepMind CEO Demis Hassabis made a bold declaration during the Google I/O 2026 keynote, stating that Artificial General Intelligence (AGI) is now 'on the horizon.' His remark, delivered at the event’s close, sparked immediate discussion in the tech world, particularly because Hassabis is a leading figure in AI research. Earlier, he had estimated AGI would arrive in five to eight years, but this time he avoided a direct timeline, instead referencing the 'foothills of singularity,' a term often tied to AI surpassing human intelligence. AGI refers to an AI system capable of performing any cognitive task humans can, unlike today’s specialized tools. Such a system could theoretically handle diverse tasks—writing software, conducting research, solving medical problems, or teaching philosophy—all from a single platform. Hassabis’ comment suggests rapid progress in AI development, though the exact implications remain debated. Before discussing AGI, Hassabis showcased Gemini-powered AI features designed to automate daily tasks, such as web browsing, shopping assistance, and real-time personal assistant functions. However, his focus shifted to healthcare, where he proposed advanced AI could 'solve all disease' by analyzing vast amounts of medical and biological data more efficiently than humans. AI is already contributing to scientific advancements, including protein structure prediction, medical imaging, and drug discovery. DeepMind’s AlphaFold, for example, has previously made headlines for its breakthroughs in predicting protein structures. Hassabis’ vision aligns with these existing applications but expands them into a broader, more transformative scope. The statement has reignited conversations about AGI’s potential and risks, particularly given Hassabis’ credibility in the field. While some see it as a natural evolution of AI research, others question the feasibility and ethical considerations of such advanced systems. The tech community now awaits further developments to clarify what this shift might mean for the future of AI.