Could AI Win a Nobel Prize One Day?

Artificial intelligence (AI) is rapidly transforming scientific research. Once limited to analyzing data, AI systems are now able to design experiments and even generate new hypotheses. Some experts believe that, in the future, AI could rival top human scientists and potentially make Nobel Prize–level discoveries.

The idea gained traction in 2016 when Sony AI's CEO proposed the "Nobel Turing Challenge", aiming to build an AI system capable of autonomously generating hypotheses, planning experiments, analyzing data, and ultimately achieving breakthrough results. Some researchers predict that such an “AI scientist” could emerge by 2050—or even earlier.

AI has already come close to Nobel recognition. In 2024, the Physics Prize honored pioneers of neural networks, while the Chemistry Prize partly recognized DeepMind's AlphaFold protein prediction system. However, the awards were given to human researchers behind the innovations, not to AI itself.

Today, AI is already a powerful partner in science. It has been used to decode animal communication, explore the origins of life, and even command robots to perform complex chemical reactions, as shown by Carnegie Mellon University's "Coscientist" system. Meanwhile, Japanese startup Sakana AI is experimenting with using large language models to automate machine learning research.

FutureHouse, a U.S. research institute, describes three stages of AI in science: support and collaboration (the current stage), autonomous hypothesis generation and evaluation, and ultimately, fully independent scientific research. Stanford researchers have already shown that AI can uncover overlooked scientific clues and are planning the world's first academic conference with AI as the primary participants.