#alphafold

#alphafold

"We're gearing up to go into the clinic," Isomorphic Labs president Max Jaderberg said on April 16 at WIRED Health in London. "It's going to be a very exciting moment as we go into clinical trials and start seeing the efficacy of these molecules."

Beyond the chatbots and productivity tools that have dominated public attention, AI is extending the reach of cutting-edge science and helping scientists globally tackle some of the greatest challenges facing their communities. This profound shift remains underappreciated-and it is leaving the technology's immense benefits largely untapped. Unlocking AI's potential to accelerate science is a defining goal for both of us.

Consistent with the general trend of incorporating artificial intelligence into nearly every field, researchers and politicians are increasingly using AI models trained on scientific data to infer answers to scientific questions. But can AI ultimately replace scientists? The Trump administration signed an executive order on Nov. 24, 2025, that announced the Genesis Mission, an initiative to build and train a series of AI agents on federal scientific datasets "to test new hypotheses, automate research workflows, and accelerate scientific breakthroughs."

In those five years, AlphaFold 2 and its successor AI models have become almost as fundamental and ubiquitous tools of biochemical research as microscopes, petri dishes, and pipettes. The AI models have begun to transform the way scientists search for new medicines, promising faster and more successful drug development. And they are starting to help scientists work on solutions to everything from ocean pollution to creating crops that are more resilient to climate change.

As head of Google DeepMind, the tech giant's artificial intelligence arm, he's driving, if not necessarily steering, what promises to be the most significant technological revolution of our lifetimes.