Demis Hassabis reflects on AlphaGo at 10: It proved AI era was arriving
Ten years after AlphaGo defeated world champion Lee Sedol at Go, Google DeepMind CEO Demis Hassabis is reflecting on the milestone and calling it a definitive preview of the AI era.
In a blog post published this week, Hassabis wrote that the 2016 victory demonstrated that AI techniques were ready to be applied to real-world scientific problems rather than remaining a distant theoretical future.
The match captured global attention when AlphaGo played Move 37, an unconventional move that professional commentators initially thought was a mistake but proved decisive for victory. Over 200 million people watched the match in Seoul.
That creative move proved the systems could go beyond mimicking human experts and find entirely new strategies, Hassabis wrote.
The breakthrough laid groundwork for subsequent DeepMind achievements, including AlphaFold, which solved the 50-year protein folding problem and earned Hassabis and John Jumper a Nobel Prize in Chemistry in 2024. The AlphaFold database now contains structures for over 200 million proteins and is used by more than 3 million researchers worldwide.
The same AlphaGo-inspired approach has since been applied to mathematical reasoning, with AlphaProof achieving silver-medal level performance at the International Mathematical Olympiad. An advanced version of Gemini with Deep Think mode recently achieved gold-medal level at the 2025 IMO.
AlphaEvolve, a coding agent inspired by AlphaGo search algorithms, recently discovered a novel way to multiply matrices, a fundamental operation powering neural networks.
The greatest lesson AlphaGo offered was a definitive preview of the AI era proving it was not some distant vague future, but a reality arriving on our doorstep. It served as a roadmap from the future, Hassabis wrote.