10 Years After AlphaGo: Google DeepMind Leaders Predict Next Major AI Breakthroughs

In March 2026, the AI milestone of AlphaGo's victory over Go champion Lee Sedol marked its 10-year anniversary, a moment that profoundly shaped modern AI development. Dr. Pushmeet Kohli and Professor Thore Graepel of Google DeepMind reflected on AlphaGo's legacy and the future of AI in an interview with VietNamNet.

Kohli highlighted AlphaFold's advancement in protein structure prediction as a landmark AI achievement, which earned the 2024 Nobel Prize in Chemistry by solving a significant biological problem. AI’s impact extends beyond biology; it now plays a vital role in improving weather forecasts and stabilizing plasma within fusion reactors.

Graepel noted AlphaGo demonstrated AI’s capacity for a new kind of intuition by discovering novel strategies beyond human knowledge, citing the famous 'Move 37.' He emphasized a shift from static AI models to collaborative systems where AI acts as a digital partner, capable of reasoning and devising research plans.

Looking ahead, they foresee major AI breakthroughs in addressing global energy challenges such as nuclear fusion and optimizing power grids, alongside fundamental advances in mathematics and physics. Both experts stressed the importance of empathy in AI development to ensure alignment with societal needs rather than delivering abstract solutions. They urged upcoming researchers to integrate classical education with technical expertise to effectively tackle real-world problems.