Hassabis sets date for AGI: 2030 and an Einstein test

Published on May 25, 2026 | Translated from Spanish

Demis Hassabis, director of Google DeepMind and 2024 Nobel Prize in Chemistry, has once again stirred the debate on artificial general intelligence. His forecast is clear: AGI could arrive around 2030. To demonstrate this, he proposes the Einstein test, a challenge that requires an AI to learn classical physics and then independently discover the special relativity of 1905. Something that current models, despite their power, cannot replicate.

A glowing quantum chip core at the center of a minimalist physics laboratory, neural network pathways branching outward like golden threads, a holographic projection of Einstein’s 1905 relativity equations being decoded by an AI system, while a human hand points toward a countdown clock reading 2030, cinematic technical illustration, photorealistic metallic surfaces, deep blue ambient light, floating particle data streams, precise engineering visualization, dramatic shadows highlighting the chip’s layered architecture

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While AGI remains a distant horizon, Hassabis highlights a relevant practical advance. DeepMind systems are already capable of predicting extreme weather events with a 24-hour lead time. In contrast, traditional methods require weeks of processing to obtain similar results. This capability not only improves disaster response but also demonstrates how specialized AI can outperform classical numerical models in specific tasks, without needing to achieve general intelligence.

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Hassabis, who already won a Nobel for using AI to predict proteins, now wants his creation to earn a theoretical physicist's license. The Einstein test sounds like a final exam for machines: learn the usual stuff and then invent the 1905 breakthrough. Meanwhile, humans still don't know if the AI that warns us about tomorrow's storm will grab a coffee or ask for a raise. Let's hope 2030 catches everyone with their batteries charged.